Answers to Agreements in Minutes
LexFlow is a lightweight legal intake and document automation platform for solo and small-firm attorneys. It turns texted client answers into state-specific, signature-ready documents, sends them for mobile e-sign, and eliminates duplicate entry, cutting intake-to-engagement to under 30 minutes, restoring 6-10 billable hours weekly, and lifting conversions 25%.
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Detailed profiles of the target users who would benefit most from this product.
- Age 28–38; bilingual/trilingual intake lead at immigration or family boutique. - Based in urban immigrant hub; 50%+ clients prefer non-English texting. - BA in linguistics or paralegal studies; 4–8 years client intake. - Salary $55k–$85k; tools: SMS, WhatsApp, Lawmatics/Clio, Google Workspace.
Started as community clinic volunteer translating intakes; became the go-to fixer for messy, mixed-language submissions. After losing a client due to mis-keyed data, she champions standardized, multilingual templates and mobile signing.
1. Seamless multilingual SMS intake with auto-normalization. 2. Template logic handling language-specific clauses. 3. One-tap e-sign avoiding app downloads.
1. Copy-paste between tools breaks diacritics and names. 2. Clients abandon portals requiring account creation. 3. Manual translations cause inconsistent, risky phrasing.
- Obsessed with clarity across languages and dialects. - Pragmatist: speed without compromising client dignity. - Trust-builder who values empathetic, plain-language communication. - Data accuracy zealot; hates duplicate typing.
1. LinkedIn feed 2. State bar listserv daily 3. Clio Community forum 4. Legaltech Slack active 5. YouTube CLE sessions
- Age 32–45; referral coordinator at boutique litigation or PI firm. - Works hybrid; high volume email, phone, and text referrals. - BA in communications; 6–10 years intake/BD operations. - Compensation $60k–$95k plus bonus; uses Outlook, Lawmatics, Clio Grow.
Built a regional referral network at a prior firm; tracked deals in spreadsheets. After a missed conflict check delayed onboarding, he adopted standardized intake and instant retainer workflows.
1. Quick referral intake links capturing essentials automatically. 2. Instant retainer generation by matter type. 3. Audit trail for source attribution and conflicts.
1. Referral info arrives incomplete and inconsistent. 2. Manual retainer edits delay signature. 3. Lost attribution undermines partner payouts.
- Metrics-driven; worships conversion and cycle time. - Connector who values responsiveness and reciprocity. - Compliance-aware; insists on conflict checks upfront.
1. LinkedIn messages 2. Law Firm Growth Facebook 3. Clio Grow community 4. Legal.io community 5. Zoom webinars bar
- Age 30–42; owner of consumer-focused micro-firm (estate, traffic, LLC). - Suburban; 70% clients on mobile; web-first intake. - JD; 5–9 years; solo with 1 assistant. - Revenue $250k–$600k; stack: Stripe, Calendly, Webflow, Clio Manage.
Launched flat-fee bundles after clients balked at hourly uncertainty. A weekend site launch stalled when DIY forms broke; now prioritizes robust automation.
1. Checkout-to-engagement automation with payment and e-sign. 2. Dynamic templates tied to product SKUs. 3. Status texts reducing post-purchase anxiety.
1. Abandoned carts when onboarding feels bureaucratic. 2. DIY form builders break legal logic. 3. Payment and signing live in separate silos.
- Product-thinking lawyer; loves predictable workflows. - Client-experience first; hates friction and wait times. - Growth-minded, data-literate, experiments relentlessly.
1. LinkedIn posts 2. Indie Law Twitter 3. Webflow forums 4. Stripe Community 5. YouTube no-code tutorials
- Age 35–55; partner/counsel in cannabis, healthcare, or fintech licensing. - Multi-state practice; clients dispersed; remote-first team. - JD with compliance certifications; 10–20 years experience. - Revenue $500k–$1.5M; tools: iManage, NetDocuments, Outlook, Teams.
After an examiner flagged a wrong statute citation in a template, Casey overhauled document governance. Now mandates state-driven clause logic and signer roles with time-stamped trails.
1. State-aware clause libraries with update control. 2. Locked templates with permissioned edits. 3. Full audit trail for regulators and clients.
1. Outdated templates slip into production. 2. Email attachments create uncontrolled versions. 3. Missing signer roles break compliance.
- Risk-averse; zero tolerance for ambiguity. - Evidence-driven; trusts audits over anecdotes. - Delegates but verifies relentlessly.
1. LinkedIn regulatory groups 2. ACC Network forums 3. State bar compliance listserv 4. NetDocuments community 5. JD Supra newsletters
- Age 27–40; program manager at legal aid or law school clinic. - Serves low-income clients; heavy SMS reliance; limited desktops. - BA/MPA; 5–8 years nonprofit operations. - Budget-constrained; stack: Google Workspace, Twilio, DocuSign grants.
After paper sign-in sheets derailed a citizenship drive, Sam switched to text-first triage and batch document prep to serve more clients per session.
1. Queue-based SMS intake with multilingual prompts. 2. Batch document generation for similar matters. 3. Kiosk-friendly e-sign for shared devices.
1. Paper forms slow lines and lose data. 2. Shared devices stall on logins. 3. Volunteers misapply templates under pressure.
- Mission-first; measures impact per hour. - Scrappy optimizer; does more with less. - Accessibility advocate; champions plain language.
1. Nonprofit Tech for Good newsletter 2. Legal Services Corporation listserv 3. Slack TechSoup community 4. LinkedIn nonprofit ops 5. YouTube how-to demos
- Age 26–38; intake manager at mid-size PI firm. - 24/7 lead flow; rotating team; heavy phone-to-text switching. - BA; 3–7 years PI intake; shift lead. - Comp $50k–$80k plus bonuses; tools: RingCentral, Lead Docket, Clio.
After losing a seven-figure case to a delayed retainer, Parker redesigned the playbook to auto-text, prefill, and one-tap sign within minutes.
1. One-minute retainer generation from minimal answers. 2. Auto-reminders escalating across channels. 3. Duplicate-lead merge and conflict checks.
1. Missed windows while clients sit in ERs. 2. Agents retyping data across systems. 3. Duplicates corrupt metrics and follow-ups.
- Competitive closer; prioritizes speed-to-sign. - Process hawk; enforces scripts and SLAs. - Coach mindset; trains new hires fast.
1. LinkedIn PI groups 2. Crisp Community Facebook 3. r/LawFirm Reddit 4. CallRail Community 5. YouTube call coaching
Key capabilities that make this product valuable to its target users.
Automatically routes funds to trust vs. operating based on jurisdiction, fee type, and matter stage. Shows a clear breakdown to the client at checkout and posts compliant ledger entries, eliminating manual errors and reconciliation headaches.
Service that determines trust vs. operating allocations based on jurisdiction, fee type, and matter stage. Supports precedence, effective/expiration dates, versioned rule sets, default fallbacks, and simulations. Validates inputs (currency, amounts, fee labels), handles edge cases (partial payments, refunds, chargebacks), and returns deterministic split decisions in under 200ms. Emits structured events for downstream posting and audit logs, and degrades safely to firm-defined defaults if no rule matches.
Admin UI and API to create, test, prioritize, and retire split rules. Enables condition builders (jurisdiction, fee type, matter stage, amount thresholds), percentage or fixed-amount splits, rounding policies, and conflict detection. Includes effective dating, draft/publish workflow, rule simulations against historical payments, RBAC permissions, and immutable audit trails with who/when/what changes for compliance.
Integration layer to route a single client payment to multiple destinations (IOLTA/trust and operating) per the rule decision. Supports processors that offer split disbursements or orchestrates secondary transfers where needed. Ensures PCI-compliant tokenization, idempotent requests, webhook verification, retries with exponential backoff, and reconciliation of processor fees. Handles separate merchant accounts per firm and per account type, and logs settlement details for each leg of the split.
Client-facing checkout UI that clearly displays line-item totals, the calculated split (amounts to trust vs. operating), fee labels, and applicable notices/disclaimers. Supports mobile-first design, accessibility (WCAG AA), multi-jurisdiction copy, and dynamic updates as items change. Captures explicit consent and stores the rendered breakdown snapshot with the transaction for auditability. Provides localized currency formatting and tax/fee disclosure where applicable.
Automatic posting of double-entry ledger entries per matter for both trust and operating accounts upon authorization/settlement events. Supports earned-upon-receipt, advance fee, and flat-fee scenarios with scheduled transfers from trust when fees become earned. Maintains per-matter trust balances, produces exportable audit logs, and syncs entries to external systems (e.g., QuickBooks, Clio) with retry/backfill. Prepares data for three-way reconciliation and generates exceptions when balances don’t match.
Controls to detect and quarantine anomalies such as unsupported split capabilities, webhook mismatches, or destination account issues. Routes affected funds to a suspense ledger, halts auto-posting, and triggers alerts to designated roles. Provides a resolution workflow (re-route, refund, manual post), SLAs, and dashboards for aging items. Every action is captured in an audit trail with export capabilities for compliance reviews.
Prebuilt, state-specific rule templates and disclosures covering common fee types and matter stages, with periodic update feeds. Includes change logs, in-app notifications, and a sandbox to test updates against real firm data before publishing. Allows per-firm overrides while preserving a vendor-managed baseline to accelerate onboarding and reduce legal research burden.
Device‑aware checkout that defaults to Apple Pay/Google Pay with instant ACH and card fallback. Pre‑filled amounts and saved payer details reduce friction so retainers fund in seconds—no portals, no forms.
Detect the user’s device and browser capabilities to automatically present Apple Pay on eligible Safari/iOS/macOS environments and Google Pay on eligible Chrome/Android environments, falling back seamlessly when unsupported. Implement merchant domain verification (Apple Pay), Google Pay API configuration, supported networks, and Payment Request API integration where applicable. Instantiate ephemeral, signed checkout sessions linked to a matter, pre-populate payer identity from intake, and enforce currency/locale rules. Ensure accessibility, WCAG-compliant focus/labels, and localized wallet labels. Provide secure telemetry for wallet availability and success/fail analytics to optimize conversion.
Pull the correct retainer amount, matter ID, memo, and accounting destination from LexFlow intake and engagement settings to pre-fill the checkout. Lock or allow edits per firm policy, show fee/surcharge disclosures by jurisdiction, and validate min/max thresholds. Auto-fill payer name, email, and phone from intake to speed checkout and ensure receipt delivery, with inline edits persisted to the payment record. Support multiple currencies, rounding rules, and tax configuration where applicable. Display concise line items and a clear trust vs. operating designation to set payer expectations before tap-to-pay.
Route retainer funds to trust (IOLTA) or operating accounts according to matter configuration, ensuring processor fees are drawn from operating and never deducted from trust. Enforce jurisdictional constraints (no surcharging from trust, no commingling), and generate an immutable audit trail with timestamps, user, and device data. Support multi-account firms, per-matter overrides, and reconciliation exports. Provide compliance-safe receipts reflecting trust deposits and fee handling, and block disallowed actions with clear error messaging.
When wallets are unavailable or fail, present a streamlined, hosted card form with auto-filled billing details, supporting 3DS/SCA and network tokenization. Maintain the same session, amount, and memo; handle challenge flows and retries without losing context. Keep PCI scope to SAQ A via provider-hosted fields, and implement robust error states, rate limiting, and fraud controls. Provide clear, single-action affordances to reduce friction and preserve conversion parity with wallets as much as possible.
Offer a bank payment button using instant account verification (e.g., Plaid/Financial Connections) to enable one-tap bank pay. Where supported, enable instant settlement or same-day ACH; otherwise fall back to standard ACH with transparent timing. Capture required mandates and NACHA authorizations, provide risk controls (amount caps, velocity, and return scoring), and support micro-deposit fallback. Clearly message settlement expectations and fees, and surface return codes with automated retry policies and firm notifications.
After successful payment, capture explicit consent to save the payment method via the processor’s tokenization for future one-tap charges. Link saved methods to the client record in LexFlow with clear revocation controls and data retention policies. Support network tokens for cards, verified bank accounts for ACH, and prevent storage of sensitive PAN/PII outside the PSP. Auto-suggest saved methods on subsequent payment links, skipping data entry while honoring compliance, consent, and firm billing policies.
Listen to processor webhooks and propagate normalized payment events (processing, requires_action, succeeded, failed, refunded) to LexFlow. Update the matter timeline in real time, trigger receipt delivery by SMS/email, and optionally advance linked workflows (e.g., send engagement for e‑sign) upon success. Implement idempotent handlers, signature verification, dead-letter queues, and retry backoff. Expose event logs in the firm dashboard for auditing, with exportable receipts and ledger entries.
Intelligent reminder cadence that re‑texts a secure magic link, times follow‑ups, and adapts to decline reasons in real time. Offers instant alternatives (e.g., switch to ACH) to rescue failed payments and shrink drop‑off.
Generate signed, expiring, single-use magic links that auto-authenticate clients and deep-link them directly into the next required step (resume intake, e-sign, or payment). Tokens include scoped permissions, configurable TTL, revocation on reuse, and optional device binding. Support branded domains and short links, anti-phishing safeguards, and full event telemetry (sent, delivered, clicked, expired). Integrate with the existing auth layer, SMS provider, and document workflows so that re-issued links invalidate prior ones and state is preserved across devices. Provide rate limiting, audit logs, and admin-configurable expiry defaults.
Implement a rules-driven scheduler that sequences and times follow-ups based on client behavior, payment outcomes, and firm-defined SLAs. The engine evaluates signals (delivered, opened, clicked, replied, partial progress, payment failure reason) to decide next step, channel, and timing. Respect time zones, quiet hours, and frequency caps; deduplicate overlapping campaigns; and auto-cancel when the objective is met. Provide prebuilt strategies (e.g., fast-pace, conservative) and per-firm customization, with A/B test support on timing and content. Integrate with messaging providers, the auth/magic-link service, payment webhooks, and CRM state. Ensure fault-tolerant queues, idempotent scheduling, and observability (runbooks, metrics, alerts).
Ingest real-time webhooks from supported payment processors (e.g., Stripe, LawPay) to detect failures, normalize processor-specific codes into a unified taxonomy, and update the client’s journey state. Surface friendly explanations (e.g., insufficient funds, address mismatch, try later) and feed the adaptive engine with structured reasons to route recovery flows. Provide secure webhook verification, retry/backoff, idempotency keys, and a simulation sandbox for QA. Persist outcomes for analytics and ensure PII minimization while maintaining traceability.
Upon a detected failure or high-friction payment attempt, automatically present alternative options (ACH, alternate card, Apple/Google Pay where available, or payment plans) within the magic-link flow and via SMS CTAs. Prefill invoice/matter data, carry forward client identity, and minimize steps to confirmation. Dynamically choose the best alternative based on decline reason (e.g., insufficient funds → ACH or plan) and firm configuration. Handle ACH mandates/NACHA compliance, KYC constraints, and bank verification flows (instant or micro-deposits). Confirm success with receipts and update downstream systems (engagement letter status, ledger). Disable unavailable options per firm/jurisdiction.
Capture, store, and enforce TCPA consent with timestamp, source, and scope; register and map A2P 10DLC brand/campaigns; and honor standard keywords (STOP, START/UNSTOP, HELP) across all threads. Enforce quiet hours by jurisdiction, frequency caps, and suppression lists with audit trails. Provide configurable disclaimers and links to terms/privacy, support data subject requests (GDPR/CCPA), and define retention/deletion policies for messaging metadata. Expose admin tools to view consent history and export compliance logs; block sends when consent is absent or revoked.
Offer a template engine with variables (client name, matter type, next step, balance), conditional logic based on journey state and decline reason, and guardrails for SMS length/segments. Support multi-language localization with fallbacks and per-firm brand voice presets. Provide previews across devices, automatic short-link insertion with UTM tagging, and link preview metadata. Include versioning, approval workflow, and integration with A/B testing to compare copy variants for recovery rate improvement.
Deliver dashboards and exports tracking send/deliver/click/convert, time-to-complete, recovery rate by reason code and channel, step-level drop-offs, and revenue attributed to recovered payments. Provide cohort and A/B test comparisons, per-firm and per-campaign breakdowns, and drill-down to message and client timeline. Include anomaly alerts (e.g., deliverability drop, spike in specific decline reasons) and an API endpoint for BI integration. Ensure metrics are privacy-safe and consistent with compliance policies.
Lets clients securely hand off payment to a spouse, parent, or employer via a forwardable, role‑aware link. Captures payer identity and authorization language while preserving a clean audit trail—no chasing checks.
Generate a secure, forwardable payment link that is scoped to the payer role and limited to payment-related views. The link encodes matter, amount, and role metadata, supports SMS and email delivery from LexFlow, and can be forwarded by the client to a third-party payer without exposing confidential intake data. Include tokenization with configurable TTL, optional single-use enforcement, revocation, device/IP rate limiting, and deep-linking to the authorization and checkout steps. Track link creation, deliveries, opens, and completion, and surface real-time status within the matter to eliminate manual follow-up.
Collect and verify the payer’s identity and relationship to the client before payment. Capture full name, contact details, relationship (spouse/parent/employer/other), and optional organization details for employers. Verify identity via OTP (SMS/email) and bind the verification to the handoff token. Store verified payer profile on the matter to avoid duplicate entry, and display it in the audit timeline. Provide configurable fields per practice area and jurisdiction, with validation and error handling suitable for mobile flows.
Present dynamic authorization language tailored to the state and matter type that satisfies third-party payer ethics requirements (no interference, confidentiality boundaries, and scope of information sharing). Leverage LexFlow’s template engine to render jurisdiction-specific clauses, capture affirmative consent via mobile e-sign or compliant clickwrap with typed name, and record timestamps, IP, and user agent. Version and store the exact language accepted for each transaction and expose it in the evidence package. Provide accessibility and language locale support.
Process payments via major cards, ACH, and mobile wallets through supported gateways (e.g., LawPay/Stripe) with tokenization and PCI-compliant handling. Allow firm-level configuration for operating vs. trust (IOLTA) routing, enforce gateway rules (e.g., no surcharging on trust), and support refunds/voids per processor capabilities. Handle gateway webhooks for real-time status, retries on transient failures, and idempotent posting. Map processor responses to matter-level payment states within LexFlow.
Enable staff to configure the payable amount (flat retainer, invoice balance, or custom) and optionally allow partial payments, payment plans, and multiple payers. Track remaining balance, allocate payments to fees/expenses according to firm rules, and optionally calculate convenience fees where permitted. On completion, automatically reconcile to the matter ledger, generate receipts for client and payer, and update matter and intake status to reduce manual bookkeeping.
Record every event from link creation to payment completion, including deliveries, opens, identity verification outcomes, consent acceptance, payment attempts, and final settlement details. Store key evidence (authorization text version, signatures, IP/user agent, timestamps) with hash-chained integrity to prevent tampering. Provide a human-readable timeline in the matter, and export a signed PDF/JSON evidence package for compliance, disputes, or insurer reimbursement.
Provide a console within the matter to create, resend, or revoke handoff links; set expiration windows; and view real-time status. Automate payer reminders via SMS/email with throttling and quiet hours, and notify staff on success or failure. Allow reissue of a new link that invalidates prior tokens, and optionally fall back to client payment if the payer does not complete by expiry. All actions update the audit trail and trigger webhook events for downstream systems.
Built‑in trust accounting guardrails: blocks prohibited surcharges, validates IOLTA routing, and enforces state‑specific fee rules. Prevents misallocation and produces a point‑and‑click audit trail for bar compliance.
Validates that all trust deposits and disbursements are routed to verified IOLTA/trust accounts and never to operating accounts. Performs account-type verification during bank linking, checks routing/ACH metadata, and continually re-validates via scheduled checks. Blocks transactions to unverified or mismatched accounts, places funds on hold until verification clears, and logs every decision with reason codes. Integrates with LexFlow’s intake, payment links, and document packets so fee language and payment instructions always reference a validated destination. Ensures misallocation is prevented, decreases compliance risk, and provides a verifiable trail for bar audits.
Detects and blocks convenience or processing surcharges on trust-funded transactions in jurisdictions where they are prohibited, while allowing permitted configurations for operating-account payments. Parses invoices and payment links for surcharge line items, evaluates jurisdiction, payment method, and payor type, and enforces the correct outcome with clear, in-context guidance. Suggests compliant alternatives (e.g., absorb fees, switch to operating account for earned fees, or adjust payment method), and records the rationale, jurisdictional citation, and user actions in the audit log. Integrates with LexFlow’s pricing, invoicing, and payment flows to prevent non-compliant fee structures from reaching clients.
Provides a configurable, versioned rule engine that enforces state-specific fee and trust accounting rules, including treatment of advance fees, earned-upon-receipt arrangements, caps, required disclosures, and refund obligations. Applies the strictest applicable rule set when multiple jurisdictions may govern and explains each enforcement decision with citations. Supports effective dates, emergency updates, and safe rollbacks. Surfaces pre-signing warnings in document automation, blocks non-compliant invoice items, and requires justification for approved overrides with role-based controls. All evaluations are captured in the point-and-click audit trail for easy bar review.
Automatically classifies and splits invoice line items and incoming payments into trust vs. operating ledgers based on their status (unearned fees, costs, earned fees) and applicable rules. Prevents out-of-trust disbursements, negative client trust balances, and cross-matter commingling. Suggests compliant transfer workflows when fees become earned and supports three-way reconciliation by maintaining client sub-ledgers, bank balances, and general ledger mappings. Integrates with LexFlow’s document milestones to mark when fees become earned (e.g., engagement signed, work completed) and updates ledger states accordingly with full auditability.
Implements maker-checker approvals for trust disbursements and trust-to-operating transfers with configurable thresholds and roles. Requires secondary approval for sensitive actions, enforces time-bound approval windows, and blocks execution if approvals expire or are revoked. Provides clear change summaries, supporting documents, and linked matter context to approvers. All actions produce tamper-evident logs with user, timestamp, IP, and rationale to strengthen the audit trail and deter improper withdrawals.
Generates a comprehensive, point-and-click audit trail for each client and matter, including account verifications, rule evaluations, warnings, overrides, invoices, receipts, transfers, approvals, and reconciliations. Offers filters by date range, jurisdiction, user, client, and matter, and exports to PDF/CSV with hash verification for authenticity. Links each audit record back to its source event and supporting artifacts to enable quick responses to bar inquiries and internal reviews without manual compilation.
Determines applicable jurisdiction(s) for a matter using client location, venue, and responsible attorney bar registrations, defaulting to the strictest rule set when more than one may apply. Monitors changes to matter metadata and updates enforcement in real time. Allows restricted overrides with justification and optional admin approval, displays rule sources and citations to users, and records all decisions for auditability. Ensures Compliance Guard applies the correct rules without burdening users with manual selections.
Instantly posts payment status and receipts back to the matter, unlocking next steps like welcome packets or calendar links. Attaches a PDF receipt and trust deposit confirmation, and updates conversion analytics automatically.
Implements webhook listeners to ingest payment events from supported processors and immediately update the linked matter’s payment status (authorized, captured, partially paid, failed, refunded, chargeback). Maps events to matters via invoice/matter references, ensures idempotent processing with deduplication keys, and supports retry with exponential backoff. Persists timestamps and processor metadata, separates test vs production environments, and offers an initial backfill by polling recent transactions. Keeps the matter timeline and status accurate without manual reconciliation.
Generates a firm-branded, itemized PDF receipt upon successful payment with date/time, matter reference, amount, taxes/fees, payment method (masked), authorization code, and processor reference. When applicable, includes a trust deposit confirmation section with required jurisdictional phrasing. Stores the PDF in the matter’s documents, attaches it to the payment activity, and provides a client-shareable link. Supports on-demand regeneration, correct timezone/localization, and consistent file naming conventions.
Automatically triggers configurable workflows when a payment posts (e.g., send welcome packet, release intake docs, provide calendar booking link, advance matter stage to Retained). Supports conditions based on payment type, amount thresholds, and matter type; handles partial payments and deposits; prevents duplicate sends with idempotent guards; and records automation outcomes on the matter timeline. Enables firms to onboard clients quickly with minimal staff intervention.
Provides a provider-agnostic integration layer that normalizes events and fields across processors (e.g., Stripe, LawPay, Square). Verifies signatures, manages API keys and webhook secrets per environment, and maps processor-specific nuances (ACH pending windows, delayed capture, refunds/chargebacks) into a standard internal schema. Includes a configuration UI for adding providers and toggling features, making it simpler to switch or add gateways without changing downstream workflows.
Accurately classifies payments as trust or operating, captures IOLTA-related metadata (account, bank, jurisdiction), and applies compliance rules: non-earned funds flagged as trust deposits, optional hold until funds clear, clear labeling on receipts, and safeguards for refunds or chargebacks. Produces exportable entries for accounting systems and prevents non-compliant automations (e.g., disbursements) until funds are eligible.
Updates conversion and revenue analytics when payment events arrive, attributing payments to the correct intake source, campaign, and matter. Calculates time-to-pay, conversion rates, and average revenue by channel; deduplicates events; handles late and reversal events (refunds/chargebacks) to keep metrics accurate. Streams standardized events to the analytics warehouse and in-app dashboards for real-time visibility.
Provides an admin console to view event processing status, failures, and retries, with tools to reprocess events, adjust mappings, and acknowledge resolutions. Maintains immutable audit logs for compliance, capturing what was posted to the matter, receipt versions, and who performed actions. Supports alerting to email/Slack when failures exceed thresholds and integrates with monitoring tools for error tracing.
Visual, clause-by-clause risk scoring with color-coded badges and concise reasoning. Surfaces the highest-risk language first and offers one-tap fixes, helping attorneys resolve issues faster and reduce exposure.
Automatically segment uploaded or generated documents into atomic clauses, map each clause to a standardized legal taxonomy, and anchor them to stable IDs and locations within the document. Support DOCX and PDF (with OCR for scanned files) and preserve redlines and formatting. Extract variables and references from LexFlow templates so clause context reflects client intake data and state-specific parameters. Provide a structured output consumed by the Risk Heatmap, enabling per-clause scoring, navigation, and updates that remain synchronized with the underlying document automation pipeline.
Compute a per-clause risk score using configurable, state-specific rule sets, practice-area profiles, and client context gathered during intake. Combine likelihood and severity into a normalized 0–100 score with thresholds that drive color badges. Recalculate scores in real time as clauses are edited or fixes are applied, and expose a scoring API so other LexFlow modules can retrieve or contribute risk factors. Support firm-level tuning, safe defaults, and unit-tested rule bundles for each supported jurisdiction.
Render accessible, color-coded badges (e.g., green, yellow, orange, red) adjacent to each clause that reflect the current risk threshold with WCAG-compliant contrast and clear iconography. Provide hover or tap tooltips with a short summary, numeric score, and last-updated timestamp. Offer a persistent legend and an option to toggle badge visibility in both desktop and mobile views, and support exporting badges and summaries in downloadable reports when required.
Surface a prioritized queue of the highest-risk clauses across the open document, with quick jump-to navigation that scrolls and highlights the target clause. Enable filtering by risk level, issue category, jurisdiction, and document section, and remember filter preferences per user. Provide keyboard shortcuts and mobile-friendly controls, deep-linking to specific clauses, and persistent state across sessions to streamline iterative reviews.
Offer contextual, one-tap remediation for flagged clauses using state-specific, firm-approved language blocks and playbooks. Display proposed edits as inline redlines with the ability to accept, modify, or reject changes and automatically merge variables from client intake. Validate that fixes reduce the score as expected, record the outcome, and keep the document synchronized with LexFlow’s automation pipeline. Allow administrators to manage suggestion libraries and approval workflows.
Provide concise, clause-specific reasoning that explains why a risk was flagged, referencing the applicable rule, precedent, or policy ID without exposing sensitive content. Maintain an immutable audit trail of detected risks, applied fixes, overrides, user IDs, timestamps, and score changes. Support exportable audit reports for client communications and compliance, with configurable retention aligned to firm policy.
Block or warn on e-sign initiation when unresolved red-level risks remain, with configurable firm policies for when an explicit override and justification are required. Present a pre-send checklist summarizing outstanding issues, applied fixes, and residual risks, and optionally include a client-facing risk summary in the engagement packet. Integrate with LexFlow’s mobile e-sign flow to ensure safeguards apply consistently across devices.
Each flag includes pinned citations to controlling rules and statutes plus a plain-language summary. Open sources in a tap to validate decisions without context-switching or extra research time.
Provide contextual citation pins attached to each validation flag within intake reviews and generated documents. Tapping a pin reveals a card showing the controlling authority’s title, canonical citation, jurisdiction, authority type (statute, rule, case), effective/last-updated date, a plain-language summary, and quick actions (copy citation, open source, share). Cards must render responsively on mobile, support keyboard navigation and screen readers, and load asynchronously to avoid blocking the workflow. Integrates with LexFlow’s flagging engine via pin IDs and the Citation API for content retrieval and caching. Expected outcome: attorneys validate decisions in one tap without context switching, reducing time-to-engagement.
Implement a rules-driven mapping service that selects controlling authorities for each flag based on client matter jurisdiction, practice area, and document type. Support precedence handling (controlling vs persuasive), jurisdiction fallbacks (e.g., federal or model rules when state-specific is unavailable), and conflict resolution rules. Store mappings as versioned configurations with testable rules, enabling rapid updates as statutes and rules change. Integrates with matter metadata services and the Citation API to return the correct set of pins per context. Outcome: citation pins reliably reflect the correct controlling law for each matter.
Create a resolver that converts canonical citations into deep links to authoritative, open-access sources (e.g., state code sites, CourtListener, Cornell LII). Maintain a routing table for citation patterns per jurisdiction, perform periodic link health checks, and provide graceful fallbacks (alternate sources, archived snapshots) when a primary source is unavailable. Support in-app webview with one-tap open, external browser handoff, and optional connectors to firm subscriptions if configured. Ensure secure URL handling, CORS compliance, and telemetry for failures. Outcome: users can validate authorities instantly without manual searching.
Deliver concise, plain-language summaries for each pinned authority that explain practical implications for the specific intake decision. Use structured templates per authority type and controlled vocabulary to ensure consistency and reading-level targets. Provide a content workflow with draft creation, reviewer approval, versioning, last-reviewed timestamps, and rollback. Summaries are stored per authority and can be contextualized by jurisdiction and document type. Display disclaimers and link to full text. Outcome: attorneys understand the ‘so what’ at a glance, reducing extra research time.
Define a normalized citation object schema (canonical cite, title, jurisdiction, authority type, court/legislature, effective dates, precedence rank, relevance tags, summary ID, source URLs, last validated). Expose secure CRUD and query endpoints for pins, mappings, and summaries with role-based access, pagination, and caching. Support idempotent updates, audit fields, and bulk operations for curation. Provide search by citation, keyword, jurisdiction, and practice area. Outcome: a reliable backbone for creating, retrieving, and rendering citation pins across LexFlow.
Build an admin UI to add, edit, bulk import/export, and publish citation records, jurisdiction mappings, and summaries. Include preview of the end-user card, validation of citation formats, duplicate detection, and dependency checks before publish. Provide role-based permissions, change history, rollback, and scheduled publishes. Notify stakeholders of material changes that may affect live matters. Outcome: content stays accurate and current without engineering intervention.
Instrument citation pins to capture impressions, opens, copy/share actions, time-to-open, link resolution errors, and downstream engagement effects. Store tamper-evident audit logs of displayed authorities per matter for compliance. Provide dashboards and exports to evaluate impact on intake-to-engagement time and conversion rates. Respect user privacy and retention policies with configurable data lifecycles. Outcome: measurable performance, quality monitoring, and compliance traceability for the Citation Pins feature.
Detects cross-jurisdiction conflicts and auto-drafts compatible clause sets with carve-outs or choice-of-law options. Prevents mismatches in multi-state matters and cuts hours of manual reconciliation.
Automatically infer and persist all relevant jurisdictions (e.g., party domiciles, incident locations, governing law candidates) from client intake data, uploaded documents, and texted answers. Supports multi-entity and multi-venue matters, normalizes locations to states, and updates jurisdiction scope as new facts arrive. Exposes a structured jurisdiction profile to downstream services and the document generator. Integrates with LexFlow intake mappings and ensures minimal duplicate entry while improving accuracy of state-specific automation.
Rules-driven service that encodes state-by-state constraints, mandatory/forbidden terms, and incompatibilities for targeted document types (e.g., engagement letters, NDAs, fee agreements). Evaluates detected jurisdictions to identify conflicts, required carve-outs, and viable governing-law choices. Returns machine-readable recommendations and human-readable rationales, with rule modularity to allow rapid updates as statutes or case law change. Provides APIs for the clause composer and UI to consume.
Central repository of clause templates keyed by jurisdiction and matter type, including applicability metadata, required language, fallback variants, and dependencies (e.g., arbitration venue, venue selection, damages limitations). Supports tagging, search, and de-duplication; stores drafting notes and citations. Integrates with existing LexFlow document automation tokens and data model to ensure correct variable substitution. Enables safe reuse across documents and ensures consistent, compliant drafting.
Automatically assembles compatible clause sets using the conflict engine’s output and the clause library, inserting necessary carve-outs, savings language, and a choice-of-law section tailored to the detected jurisdictions. Preserves readability and house style, supports configurable drafting preferences, and ensures fields merge correctly from intake data. Generates a ready-to-sign draft with minimal attorney edits and can re-compose on demand when facts or preferences change.
Interactive preview that surfaces detected conflicts, selected clause variants, and rationales, with side-by-side diffs and inline explanations. Allows attorneys to override selections, lock clauses, and provide justifications while preserving downstream compliance checks. Displays warnings when overrides introduce known risks, and writes all decisions back to the matter record. Supports export of an annotated draft for client review and internal QA.
Version control for rules and clause variants with immutable logs of what versions were applied to each generated document. Provides change notifications when state law updates impact saved templates or active matters, and enables one-click re-run of harmonization with a comparison of changes. Produces an audit-ready report tying selected clauses to jurisdictions and rule versions for ethical compliance and malpractice defense.
Guided composer that assembles approved safe-harbor alternatives from firm libraries and audited rulepacks, tailored by fee type and matter stage. Produces ready-to-swap language that preserves intent and satisfies regulators.
Enable import of audited regulatory rulepacks and firm-approved safe-harbor patterns in a structured, machine-readable format with full version control. Each rulepack carries jurisdiction tags, effective/expiry dates, approver signatures, checksums, and change logs. The system validates schema on upload, prevents breaking changes, supports rollback to prior versions, and maps rules to specific clause triggers and contexts. Rulepacks integrate with the firm clause library and power the composer and validation engine to guarantee that only current, approved guidance is used during assembly.
Capture and normalize key context signals (fee model, matter stage, practice area, client locale, governing law, and regulator) from intake and case data to drive safe-harbor selection. Provide configurable mappings and defaults, jurisdiction-aware fallbacks, and override controls with justification capture. Expose a lightweight API/SDK to sync context from external case systems. Context profiling filters the library to only approved alternatives that fit the scenario, minimizing research time and misapplication risk.
Deliver a step-by-step composer that surfaces only approved clause alternatives and required disclosures based on the current context. Provide inline hints, citations, and rationale sourced from rulepacks; quick search and filtering; keyboard shortcuts; accessibility support; and autosave of choices. The UI records decision rationale and selected variants to enable downstream auditability and reuse. Designed for mobile and desktop, it integrates directly with the clause library and respects user permissions.
Continuously evaluate selected clauses against rulepack constraints to detect conflicts, missing mandatory language, jurisdictional incompatibilities, and cross-clause dependencies. Display severity, citation-backed explanations, and one-click fixes. Support pre-publication validation gates, batch validation for existing templates, and simulation mode for different jurisdictions. The engine exposes results via API and logs all validations for audit and QA.
Generate a side-by-side comparison and tracked-changes view showing how selected safe-harbor language will modify the current document. Support one-click application into Word/Docx and PDF-backed templates while preserving formatting, numbering, cross-references, and defined terms. Provide bulk swap for multi-clause updates, instant undo, and metadata updates on the document record. Integrates with LexFlow’s document engine to produce signature-ready outputs.
Introduce a configurable approval flow for newly assembled or updated safe-harbor packages, supporting multi-step reviews, dual-control approvals, SLAs, reminders, and hold/rework states. Persist an immutable audit trail capturing who changed what and when, linked to rulepack versions and document outputs. Provide exportable evidence packages and one-click rollback to the last approved variant. Enforce role-based permissions and SSO for secure governance.
Simulate jurisdiction, fee arrangement, and client profile changes to preview which clauses would be blocked or replaced before sending. Avoids last-minute redlines and helps template architects harden playbooks.
Provide a guided, side‑panel configuration experience to build “what‑if” scenarios by selecting jurisdiction (state), fee arrangement (hourly, contingency, fixed, hybrid), and client profile attributes (e.g., entity type, language needs, risk flags, matter type). Pre‑populate values from the active matter’s intake, allow overrides without mutating the source record, and validate selections against template applicability constraints. Persist commonly used scenario presets per template/playbook, and support quick toggles for A/B comparisons. Integrate with LexFlow’s data model for templates, matters, and clause metadata so the sandbox can assemble an accurate context without requiring duplicate entry.
Render a live comparison that highlights clauses that would be blocked, replaced, or conditionally modified under the selected scenario. Show before/after text, replacement source, and inline badges for decision reasons (e.g., “Blocked by CA contingency rule R‑12”). Provide filters (blocked/replaced/unchanged), counts, and deep links to the originating rule or clause library entry. Include a full document preview mode with redline and clean views, and ensure diff updates within 1–2 seconds on typical documents. Integrate with the existing document renderer to maintain pagination and variable resolution consistency.
Implement a deterministic, side‑effect‑free evaluation service that applies playbook rules to a given scenario context to decide clause inclusion, exclusion, and variant selection. Accept inputs for jurisdiction, fee model, client profile, and matter type; output a structured decision report (JSON) with decisions, rationales, and references to rule IDs and template versions. Support precedence, fallback variants, and chained conditions. Guarantee no writes to matters/templates in sandbox mode. Provide unit tests, rule coverage metrics, and performance targets (p95 < 2s for 50‑page templates). Expose an API to the UI and template editor for consistent use across the product.
Allow users to save named scenarios tied to a specific template/playbook version, with ability to clone and edit. Provide exports: (a) annotated PDF with change badges, (b) redline DOCX, and (c) JSON decision report. Enable shareable firm‑internal links with role‑based access and attach scenarios to matters for later reference during engagement. Support a “replay at send” option that re‑evaluates the saved scenario against current rules to catch drift before e‑sign dispatch.
For each blocked or replaced clause, surface actionable suggestions such as alternative clauses, acceptable fee model tweaks, or additional client data required to unlock a preferred clause. Display projected downstream impacts of applying a suggestion and enable one‑click apply to a draft template (with confirmation and diff preview). Leverage the clause library and rule metadata to justify suggestions and link to policy notes.
Record an immutable trace for each simulation, including user, timestamp, inputs, template and rule versions, decision outcomes, and performance metrics. Provide searchable logs by matter, template, or rule ID, and support export for compliance review. Include a cryptographic hash of the decision report to support evidentiary chain‑of‑custody needs typical in legal workflows.
Maps SMS intake answers to clause toggles and conditional logic so the correct variants auto-insert during document generation. Eliminates manual checks and keeps intake-to-document flow compliant end-to-end.
Ingest inbound SMS responses from clients, handle multi-part and out-of-order replies, and normalize them into typed, validated fields (dates, addresses, amounts, booleans) with confidence scores. Apply synonym dictionaries (e.g., yes/yep/y), locale-aware parsing, and lightweight NLP for entity extraction. When confidence falls below thresholds or required data is missing, trigger structured follow-up prompts. Emit a clean key–value payload to the Intake Mapper for rule evaluation, ensuring high accuracy and minimal manual cleanup while integrating seamlessly with LexFlow’s intake pipeline and document generation services.
Provide an admin UI to map normalized intake fields to template variables, clause toggles, and clause variants across document templates. Support drag-and-drop mapping, multi-field concatenation, computed expressions, default fallbacks, and bulk import/export of mappings. Include search and tagging for fields and clauses, role-based access, and change hints. Persist mappings per template and matter type, feeding the rule engine at generation time to automatically insert correct clause variants with zero manual review.
Enable no-code creation of conditional rules that determine clause inclusion and variant selection based on intake answers. Support AND/OR nesting, comparisons, list membership, regex, date math, and null checks. Allow reusable rule blocks, parameterized conditions, and rule ordering/precedence. Provide an explanation mode that shows why a rule fired and what data it used. Store rules versioned with audit metadata and bind them to specific templates and jurisdictions for consistent, maintainable logic.
Offer curated, versioned rule packs per state/jurisdiction that encode required clauses, language variants, and toggles tied to local compliance requirements. Auto-select the appropriate pack based on client location or matter metadata, with effective dates and sunset periods. Allow authorized overrides with reason codes and capture deltas from base rules. Integrate with the logic builder and mapping layer so jurisdiction-specific nuances are applied automatically during generation.
Provide an interactive preview where admins can input or load sample intake answers and see a live document preview that highlights included/excluded clauses and selected variants. Show a rule trace explaining each decision, allow step-through of rule evaluations, and enable quick toggling of answers to observe effects. Support DOCX and PDF previews, mobile-friendly views, and template/version selection to validate mappings before sending for e-sign.
Record a detailed log for each document generation: input field values (redacted where sensitive), rules evaluated, decisions taken, clause variants chosen, timestamps, template and rule pack versions, and user/system IDs. Provide searchable, exportable logs linked to matters, with retention policies and access controls for PHI/PII. Surface a human-readable summary to aid troubleshooting, and expose structured logs via API/webhook for downstream compliance systems.
Detect missing, conflicting, or low-confidence inputs before generation and route to the appropriate recovery path: send targeted SMS clarification prompts, request human review, or apply a jurisdiction-approved safe default clause set. Provide clear, actionable error messages in the UI, support retries with idempotency keys, and ensure partial progress is saved. Log all recoveries in the audit trail and prevent document issuance when compliance-critical data is unresolved.
Automatically recognizes ID type (driver’s license, passport, state ID) and issuing jurisdiction from a texted photo, prompts for missing front/back, reads MRZ/PDF417 barcodes, and checks expiry. Extracts clean name/DOB/address to auto‑fill intake, preventing typos and rework.
Automatically classifies a texted ID photo as driver’s license, passport, or state ID and detects the issuing jurisdiction (state/country). Uses CV/OCR and jurisdiction templates to handle rotation, glare, and partial crops. Emits structured metadata (doc_type, jurisdiction, confidence) to drive downstream parsing and template selection. Integrates with LexFlow’s MMS ingestion and stores inference results alongside the client intake record for auditability.
Determines whether both sides of the ID are required based on detected type and jurisdiction, and automatically prompts the client via SMS with a secure link to capture the missing side. Provides capture guidance (alignment overlay, glare/focus checks, auto-crop) and blocks submission until minimum quality thresholds are met. Retries and escalation messaging are configurable. Events are logged to the intake timeline.
Decodes machine-readable zones (MRZ) on passports and PDF417 barcodes on driver’s licenses to extract structured fields (name, DOB, address, document number, issue/expiry dates). Validates checksums and jurisdiction-specific formats, supports multiple images per submission, and falls back to OCR when barcodes are unreadable. Ensures low-latency processing and emits parsing confidence per field for downstream decisions.
Evaluates extracted issue and expiry dates to flag expired or not-yet-valid IDs, applying jurisdiction rules (e.g., temporary licenses). Surfaces status badges in the intake record, prevents auto-fill on invalid documents, and triggers automated SMS to request an alternative ID when needed. Provides configuration for firm-specific tolerance windows and exception overrides with audit notes.
Normalizes extracted fields (proper casing, diacritics, address standardization, removal of OCR artifacts) into LexFlow’s canonical schema and maps them to the firm’s intake and engagement templates. Supports preview and one-click apply, with change tracking and rollback. Writes cleaned data to contacts/matters to eliminate duplicate entry across the platform and downstream document automation.
Computes per-field confidence scores from classification, barcode/MRZ decoding, and OCR, applying thresholds to auto-accept high-confidence values and route low-confidence extractions to a review queue. Provides a side-by-side UI with the ID image, extracted fields, and suggested corrections, with single-click accept/edit and learning feedback to improve future accuracy. All actions are logged for audit.
Encrypts ID images and extracted PII in transit and at rest, uses time-limited signed links for capture flows, and redacts sensitive values in logs. Enforces least-privilege access, records audit trails, and supports configurable retention and automatic deletion per firm policy. Aligns with SOC 2 controls and legal industry privacy expectations while maintaining operational visibility.
Mobile-friendly guidance that spots glare, blur, and cropping before submission and asks the client to re‑snap if needed. Works via a secure magic link from SMS, boosting first‑pass success and cutting back‑and‑forth so verifications clear in minutes.
Issue signed, time-bound magic links that open a capture session in the mobile browser without requiring login. Links are one-time use, tied to matter and recipient phone, with configurable expiration and replay protection. Server validates tokens, enforces rate limits, and records audit events. Session bootstrap displays consent and privacy notice, then establishes a short-lived session ID for the capture flow. Deep links carry document type/profile so the correct guidance loads. Integrates with LexFlow intake by generating and sending links via existing SMS provider, and posting session lifecycle events back to the case record.
Provide live analysis of the camera preview to detect blur, glare hotspots, low contrast, improper cropping/edge coverage, skew, and motion before capture. Compute an overall quality score plus specific issue flags in under 150 ms per frame on common mobile devices. Thresholds are configurable per document type. Operates client-side via WebRTC/getUserMedia with graceful fallback, minimizing data transfer until a passable frame is captured. Emits structured quality metadata for storage and analytics.
Render adaptive overlays (e.g., ID card rectangle, full-page document guides) and edge detection to help users align documents. When stability and quality thresholds are met, trigger auto-capture with haptic/audio cues; provide tap-to-capture as fallback. Perform on-device perspective correction, crop, and compression to target size while preserving legibility. Localize instructional text and support accessible contrast and font sizes. Designed for mobile Safari/Chrome with low-bandwidth mode.
When a capture fails quality checks, present targeted, plain-language tips based on the failing metrics (e.g., tilt to reduce glare, move to brighter light, fill the frame, hold steady). Allow configurable attempt limits, with an option to proceed anyway if firm policy allows and the user acknowledges reduced quality. Persist attempt history and final quality score with the submission for reviewer context. Provide quick retry with preserved guide overlays and settings.
Define profiles for common legal IDs and forms (e.g., driver’s license front/back, retainer signature page, state-specific verification forms) that set detection thresholds, overlays, mandatory region coverage, and page counts. Select profiles via deep link or API from the intake flow. Maintain a versioned rules library mapped to LexFlow template IDs and jurisdictions. Allow firm-level overrides of thresholds within safe bounds.
Encrypt uploads in transit and at rest, strip EXIF/geolocation, and run antivirus scanning before persistence. Normalize outputs to PDF or high-resolution images with embedded capture timestamp, quality score, and hash. Support chunked uploads with resume and exponential backoff, enforce file size and type limits, and provide user-visible progress and retry. Apply retention policies and automatic purge on abandoned sessions. Log all events for compliance.
Surface captured documents in LexFlow’s back office with thumbnails, quality scores, failure flags, and attempt history. Enable one-click re-send of a pre-populated magic link for a targeted re-capture request. Emit webhooks when captures meet thresholds to auto-advance verification steps. Provide filters and reports for first-pass success rate, average time to pass, and common failure reasons to inform tuning.
Optional OFAC/PEP/sanctions screening using OCR’d identity data with configurable match thresholds. Returns clear pass/possible‑match results with next‑step recommendations and logs everything into the verification report for audit‑ready compliance.
Ingest client-provided ID images captured via mobile upload or text reply, then perform OCR and barcode/MRZ parsing to extract full name, date of birth, nationality, address, document number, and known aliases. Normalize and validate fields (name order, Unicode/diacritics, transliteration, and date formats), detect image quality issues, and prompt recapture when required. Store structured, minimally necessary PII for screening with encryption in transit and at rest, apply redaction in logs, and map extracted fields into LexFlow contact and matter records to eliminate duplicate entry. Provide fallbacks to guided manual entry with field-level validation and real-time hints.
Provide firm-level admin controls to configure fuzzy-matching thresholds per list category (OFAC/SDN, PEP, sanctions, adverse media) and per attribute weight (name, DOB, nationality, address). Support phonetic and transliteration variants, nickname dictionaries, and partial matches. Include a test harness to preview hit rates using sample profiles or anonymized historical cases before saving settings. Version all configurations with effective dates for auditability; enforce role-based permissions; allow matter-level overrides with justification capture; and propagate active settings to all new screenings.
Integrate with primary and secondary watchlist sources (e.g., OFAC/SDN, BIS, UN, EU, HMT, major PEP datasets) via API using a provider-agnostic abstraction. Normalize schemas, handle pagination, and track dataset freshness with last-updated timestamps. Implement caching with configurable TTL to control latency and cost, plus automatic failover and retry if a provider is unavailable. Support jurisdictional scoping to include/exclude lists by practice area, and tag each screening with the exact dataset versions and retrieval timestamps to support defensible results.
Classify outcomes into Clear Pass or Possible Match using interpretable scoring and show matched attributes, scores, and rationale. Present role-aware guidance with recommended actions (e.g., request secondary ID, collect proof of address, escalate to partner review) and enable one-click creation of tasks, client requests, or notes in LexFlow. Offer configurable gating rules to pause document generation or e-sign until resolution, with permissioned overrides that capture justification and are logged for audit.
Generate a tamper-evident verification report capturing screening inputs (redacted where appropriate), client consent status, thresholds applied, watchlists consulted with versions, results, reviewer actions, evidence attachments, timestamps, user IDs, and final disposition. Embed the report into the matter file, include it in engagement packets when required, and support export to PDF and JSON with a unique hash for integrity verification. Maintain immutable, append-only event logs and enforce retention policies aligned with firm settings and regulatory requirements.
Provide a dedicated queue for Possible Match cases with assignment, SLA timers, and notifications. Allow reviewers to compare client identity data against matched entries side-by-side, attach supporting documents, add notes, and record a final decision of False Positive or Confirmed Match. Enforce optional dual-control (second approver) where configured, auto-trigger re-screening on status changes or at defined intervals, and propagate the outcome to downstream gating (document generation/e-sign) and the verification report.
Insert clear disclosures and consent collection into mobile intake flows explaining the purpose of sanctions/PEP screening, data sources, retention, and client rights. Support click-to-consent with timestamp, IP/device metadata, and jurisdiction-specific language. Persist consent records linked to the client and matter, surface consent status in the screening UI, and block screening where consent is required and not obtained, with an admin override path that captures justification and is logged for audit.
When rules or mismatches require it, automatically requests a utility bill or bank statement, extracts address and name, and cross‑checks against the ID and intake. Bundles a matched proof‑of‑address page into the signed packet for KYC‑grade completeness.
Implements configurable conditions to automatically request proof of address when jurisdictional rules require it or when name/address mismatches are detected between ID verification and intake data. Supports state-specific KYC thresholds, freshness windows (e.g., document dated within 60–90 days), and accepted document types per locale. Integrates with LexFlow’s intake pipeline and ID check to evaluate triggers in real time, enqueue requests, and record rationale for audit. Exposes admin controls for rule tuning and provides versioned rule sets to ensure consistent outcomes across matters.
Provides clients a mobile-friendly, secure upload experience for utility bills or bank statements via SMS/email link with one-time tokens. Accepts PDF and image formats, guides clients with on-screen tips, performs client-side checks for glare/cropping, and enforces redaction guidance for sensitive non-required fields. Files are encrypted in transit and at rest, virus-scanned, and stored with time-limited access URLs. Includes automated reminders, expiration handling, and fallback channels to maximize completion rates while meeting privacy requirements.
Extracts name and address from uploaded proofs using OCR tailored for utility bills and bank statements, with support for varying layouts and international/stateside formats. Normalizes outputs (e.g., casing, abbreviations, apartment/unit parsing), captures document date, issuer, and confidence scores per field, and flags redactions. Produces a structured payload usable by matching logic and stores source snippets to aid human review. Operates asynchronously with retry logic and quality thresholds to maintain throughput and accuracy.
Compares extracted name/address against government ID and intake data using configurable fuzzy matching (e.g., nickname/alias maps, edit distance, unit number tolerance, USPS/locale normalization). Determines pass/fail with explainable reasons, applies confidence thresholds, and produces actionable discrepancy codes (e.g., address recency, surname variant, street suffix mismatch). Automatically updates client record on high-confidence matches and routes edge cases for review while maintaining an immutable decision log.
Provides a side-by-side review screen showing the uploaded document, extracted fields with confidence, ID, and intake details, along with explanation of match decisions. Enables reviewers to accept, reject, or correct fields, and to override decisions with required reason codes. Captures full audit trail including timestamps, reviewer identity, pre/post values, document hash, and rule version, supporting downstream compliance audits and dispute resolution. Integrates with tasking/notifications to minimize queue time.
Generates a KYC-style summary page that includes matched status, issuer, document date, normalized name/address, and cropped evidence snippets, then bundles it into the engagement’s signed PDF packet. Ensures pagination, bookmarks, and metadata align with LexFlow’s document automation, and embeds a link/reference to the underlying artifact in the audit log. Applies firm branding and jurisdictional wording where required and preserves accessibility and print fidelity for court or bank submissions.
Captures explicit biometric/ID processing consent with timestamp, device fingerprint, and policy link in plain language. Stores a downloadable consent record, honors retention policies by jurisdiction, and gives firms click‑to‑produce privacy evidence.
Build a responsive, mobile-first consent flow that presents plain-language disclosures for biometric/ID processing and requires an affirmative action (e.g., checkbox + Confirm) before proceeding. The flow must display the applicable purpose, data categories, retention window, and a prominently visible link to the governing policy. On submission, capture and store a UTC timestamp, IP address, user agent, device fingerprint, and the exact policy version shown. Support SMS-deep links from intake texts, multilingual content, and WCAG 2.2 AA accessibility. Ensure idempotency (prevent duplicate records), resilient error handling, and creation of a unique consent record ID tied to the matter and contact. Persist records in a tamper-evident store and expose them via the case timeline in LexFlow.
Implement a versioned policy repository that stores state/jurisdiction-specific privacy/biometric policies with effective dates, locales, and content hashes. A routing layer must select the correct policy version based on detected jurisdiction (IP geolocation), user-declared state, or matter jurisdiction, with deterministic precedence rules and admin overrides. The consent screen must render the selected policy link and persist the exact version identifier and hash used at the time of consent. Provide an admin UI to publish, schedule, and retire policy versions, with validation that a valid policy exists for each jurisdiction. Handle unknown/ambiguous jurisdictions with a safe default and prompt for user confirmation. Log all policy selections for auditability.
Generate a privacy-preserving device fingerprint at consent time using a constrained, configurable set of attributes (e.g., user agent, OS, timezone, screen metrics), hashed with a rotating salt to avoid cross-site tracking. Capture and store supporting metadata (IP, user agent, referrer, network type) with data minimization and configurable retention. Detect private browsing or fingerprint blocking and fall back to a reduced confidence identifier. Clearly disclose fingerprinting in the consent text where required. Associate the fingerprint and metadata with the consent record, expose a confidence score, and prevent use outside consent verification. Validate that collection methods align with BIPA/CPRA requirements and provide a toggle to disable fingerprinting per jurisdiction if prohibited.
Provide a rules engine to define retention windows and destruction obligations by jurisdiction and data category (e.g., biometric template, ID image, consent records). Automatically schedule deletions when records reach end-of-life, with configurable grace periods, notifications to admins, and a legal hold override. Perform irreversible deletion (including cryptographic erasure for encrypted data), record a non-sensitive tombstone with deletion metadata, and maintain an immutable audit trail of retention decisions and actions. Include preloaded templates for common jurisdictions and surface upcoming deletions in the matter and global dashboards. Expose APIs and webhooks for external DMS/CRM to synchronize deletions.
Enable one-click generation of a court-ready consent evidence package from the client or matter view. Bundle the consent details (client identifiers, purpose, policy URL and content hash, timestamps, IP, device fingerprint, jurisdiction basis, retention policy applied) with an audit trail of events. Produce outputs as a tamper-evident PDF with a visible hash and embedded verification manifest, and as machine-readable JSON for eDiscovery. Include firm branding, optional redactions for sensitive fields, and a QR/link for public verification of integrity. Support direct export to connected DMS/CRM via API, email share, and secure download with time-limited links. Log package creation as an auditable event.
Introduce a consent prerequisite gate in intake and e-sign workflows: block biometric/ID capture and document e-sign steps until a valid, unexpired consent record exists for the matter. On success, issue a short-lived consent token, propagate it to downstream steps, and persist status on the timeline. Expose webhooks/events (consent.captured, consent.expired, consent.withdrawn) and API endpoints for external systems. Handle re-consent when policies change or consent expires, and display clear status badges to staff. Ensure idempotent retries, robust error recovery, and audit logging for every gate decision.
Deliver an admin dashboard to view, filter, and export consent records by date range, jurisdiction, matter, and status (valid, expired, missing, withdrawn). Provide alerts for missing consent in active workflows and upcoming expirations. Maintain an immutable, append-only audit log for consent creation, policy selection, exports, retention actions, and admin overrides, with user attribution and IP. Enforce role-based access control and least-privilege permissions for viewing/exporting consent data. Offer CSV/JSON export, scheduled reports, and SIEM/syslog integrations for central monitoring.
Aggregates liveness, face‑match confidence, barcode‑to‑print consistency, tamper cues, and device/location signals (where permitted) into a simple risk score with human‑readable reasons. Offers one‑tap actions—approve, retry with guidance, or escalate—so staff make fast, defensible decisions.
Build a scoring engine that ingests liveness results, face‑match confidence, barcode‑to‑print consistency, document tamper cues, and permitted device/location telemetry, normalizes them to a common scale, and outputs a single 0–100 risk score. The engine must support pluggable signal providers (SDKs/APIs), configurable weights, per‑jurisdiction overrides, and graceful degradation when a signal is unavailable. It should expose a synchronous API for real‑time intake flows and an asynchronous mode for deferred evaluation, with idempotency and retry safety. The score and raw sub‑signals must be persisted to LexFlow’s matter record for downstream automation and reporting.
Generate human‑readable reasons that explain the score by listing top contributing signals (e.g., low liveness, barcode mismatch, device geolocation outside state) with their weights and thresholds. Provide an immutable audit log capturing inputs, model version, configuration snapshot, decision taken, and user actor to support defensible compliance posture. Include export to PDF/CSV and API retrieval for inclusion in engagement files. Reasons must be comprehensible to non‑technical staff and localized where applicable.
Provide primary actions—Approve, Retry with Guidance, Escalate—directly on the risk card within the intake workflow. Tie each action to downstream automation: Approve triggers document generation and e‑signature; Retry generates targeted guidance and re‑capture tasks; Escalate opens a manual review queue with checklists. Enforce role‑based permissions, log decisions, and support bulk actions for high‑volume days. Emit webhooks for external systems and allow undo within a short grace period with full audit.
Gate collection and use of device/location signals behind explicit, recorded client consent and per‑jurisdiction policy. Provide configuration to disable or down‑weight certain signals in states where they are restricted. Surface consent language in SMS/web flows, store consent artifacts with timestamps, and automatically adjust scoring inputs based on the client’s and firm’s location. Implement data minimization, configurable retention, and PII redaction in logs while preserving evidentiary value.
Offer an admin UI and API to manage scoring policies: adjust signal weights, set pass/retry/escalate thresholds, define per‑practice‑area and per‑state templates, and schedule effective dates. Provide simulations on historical data to preview impact, with safety checks (e.g., cannot set all thresholds to auto‑approve). Support versioning, rollback, and change approvals with notifications to stakeholders.
When a score falls into retry range, generate targeted, plain‑language guidance based on failing signals (e.g., "Move to brighter light," "Align barcode fully," "Remove glasses"). Provide a streamlined re‑capture flow with auto‑capture, quality checks, and limited attempts, integrated into SMS/mobile web. Support multilingual tips, accessibility considerations, and carry forward previously successful signals to avoid rework.
Deliver dashboards and alerts for pass/retry/escalation rates, average scores, and time‑to‑decision by source, state, practice area, and device type. Track false positive/negative rates via manual review outcomes, detect signal drift or provider outages, and recommend policy adjustments. Provide exportable reports and scheduled emails to partners, with SLA health indicators for each upstream verification provider.
Transforms vague referral emails into a guided SMS intake in seconds. Parses sender and client details, matter hints, attachments, and deadlines, then launches a branded text flow that pre-fills fields and requests missing info. Eliminates manual triage and retyping while preserving referral attribution and speeding first client contact.
Build a parser that ingests inbound referral emails (originals or forwards) and reliably extracts referrer identity, prospective client details (name, mobile, email), matter hints (practice area, jurisdiction/state), key dates/deadlines, and attachment metadata into a normalized LexFlow intake payload with confidence scoring. Handle common provider formats (Gmail/Office/IMAP), quoted threads, signatures/footers, and forwarded headers. Normalize and validate phone numbers and emails, detect missing or low-confidence fields, and tag/referrer attribution for reporting. Preserve the original email message and map all extracted data to LexFlow’s contact, matter, and intake schema for downstream automations.
Resolve extracted identities against existing LexFlow contacts and open matters using fuzzy matching across name, phone, email, and referrer context. Prevent duplicate records, support auto-linking at high confidence, and route ambiguous matches to review. Merge complementary data without overwriting verified fields, carry forward historical context, and preserve referral attribution on the linked record. Provide match confidence, change logs, and admin controls for thresholds and merge policies.
Initiate a branded SMS intake from the parsed email payload while enforcing TCPA/CTIA compliance and firm policies. Check opt-in status, include required disclaimers and STOP/HELP language, respect quiet hours and rate limits, and log consent events. Select the correct firm sender ID/number, handle message segmentation and retries, and fall back to email or voicemail tasks if no mobile or consent is unavailable. Track delivery, clicks, and replies for attribution and SLA monitoring.
Generate a guided, mobile-friendly SMS conversation tailored to inferred matter type and state, pre-filling known fields from the email and only requesting missing or low-confidence information. Validate inputs inline (names, addresses, dates), support branching logic and language selection, and allow resumable sessions with timeouts. Persist responses to LexFlow’s intake and document templates, enabling immediate e-sign packaging upon completion. Provide tokens for state-specific clauses and automate handoff to the signature workflow.
Download, virus-scan, and store email attachments; perform OCR on PDFs/images and classify document types (ID, referral letter, police report, insurance, court notice). Extract key fields (names, DOB, addresses, policy/case numbers, docket dates) to enrich the intake and drive document automation. De-duplicate files, retain original filenames and context, and link artifacts to the matter. Avoid transmitting sensitive content over SMS; instead, reference securely stored documents in the intake flow.
Detect and normalize time-sensitive language and dates in email bodies and attachments (e.g., hearing dates, SOL, response due) and automatically create tasks, calendar holds, and alerts with severity. Respect time zones, identify conflicts, assign owners, and set SLA timers for first contact and follow-ups. Update or close tasks as new emails arrive or the SMS intake progresses to engagement.
Provide a review queue for low-confidence parses and match decisions showing extracted fields, confidence scores, and source highlights within the email/attachments. Allow one-click approve, edit, or suppress before SMS launch based on configurable thresholds per firm. Surface suggested contact matches, show impact previews (records to be updated/created), and maintain a full audit trail. Support bulk actions and keyboard shortcuts for rapid triage during high volume.
Auto-builds a sanitized packet for outside firms using configurable redaction rules (PII minimization, privilege, and jurisdictional privacy). Normalizes attachments, masks sensitive fields, and includes a crisp matter summary with timeline and next steps. Shares via secure link with view/download controls and a complete audit trail, so you share just enough to move fast without risking exposure.
A configurable rules engine and admin UI to define, version, and test redaction policies by jurisdiction, matter type, and client preference. Supports presets for common privacy regimes, privilege toggles, PII categories, regex/dictionary patterns, and confidence thresholds. Includes policy versioning, change history, simulation against sample documents, and approval workflow. Integrates with LexFlow organization settings and applies policies automatically when generating shareable packets, ensuring consistent, compliant redaction across matters.
Automated detection and masking of sensitive data across text and attachments, including PDFs, Word docs, images, and scans via OCR. Combines pattern matching, dictionaries, and NLP-based entity recognition to find SSNs, DOBs, addresses, emails, phone numbers, financial and health identifiers. Supports masking modes (black box, partial, hashing), redaction annotations, confidence scoring, and exportable redaction maps for review and override. Scales via background jobs and queues, emitting structured outputs that downstream steps use to render sanitized documents.
Automated identification and handling of attorney–client privileged content and work product using configurable cues such as participants, domains, headers, keywords, and document classes. Allows exclusion of entire documents or targeted redaction of sections, with the option to auto-generate a privilege log. Provides safe lists, override controls, and a final pre-share check to prevent inadvertent waiver. Integrates with the rules engine and detection pipeline to produce a single sanitized packet compliant with privilege constraints.
Uniformly converts outgoing files to share-safe formats (e.g., PDF/A), flattens annotations, removes hidden data and metadata (EXIF, comments, tracked changes), and ensures OCR for searchability. Harmonizes page sizes and orientation, standardizes file naming, deduplicates via hashing, and preserves originals internally for audit and reprocessing. Adds optional dynamic watermarks and page labels to indicate redactions. Outputs a clean, consistent packet ready for secure sharing while minimizing compatibility and leakage risks.
Generates a concise, editable matter summary that pulls structured facts, parties, key issues, and objectives from LexFlow intake and activity. Builds a chronological timeline of events, filings, and deadlines, and compiles a tailored next-steps checklist for the recipient. Supports jurisdiction-specific disclaimers and templates, attorney edits with tracked changes, and regeneration based on updated data. Bundles the summary into the share packet to accelerate outside counsel onboarding and reduce back-and-forth.
Creates expiring, revocable secure links to the sanitized packet with granular permissions: view-only or download, per-recipient watermarking, password/OTP protection, access windows, domain allowlists, rate limiting, and optional IP/geo restrictions. Supports multi-recipient sharing via email or SMS, with link analytics and immediate revocation. Ensures encryption in transit and at rest, and enforces file-level permissions. Integrates with LexFlow notifications and stores controls alongside the matter for reuse and auditing.
Captures an immutable, time-stamped record of policy versions, redaction actions, document transformations, link creation, recipient invitations, views, downloads, and revocations, including IP, device, and location signals. Provides searchable in-app logs, export to CSV/PDF, and integrations to external SIEM systems. Supports chain-of-custody reports per matter and anomaly alerts for suspicious access patterns. Aligns with retention policies and enables defensible reporting for compliance and incident response.
Generates bar-compliant fee‑split letters based on practice area, jurisdiction, and firm policy. Pulls referrer details and proposed percentages from the intake, inserts required disclosures, and routes for mobile e‑sign with role‑aware sequencing. Tracks acceptance, counters, and expirations, then posts the signed agreement to the matter so revenue sharing is locked before work begins.
Implements a rules engine that maps practice area and matter jurisdiction to bar-required disclosures, restrictions, and clause language, assembling only compliant content for each scenario. Maintains a versioned catalog of state-specific requirements and firm policy overlays (e.g., percentage caps, client-consent prerequisites, co-responsibility language), with automatic updates and effective-dating. Supports multi-jurisdiction matters by detecting conflicts and selecting the stricter rule set. Exposes validation results and remediation guidance at draft time, preventing circulation of non-compliant letters. Integrates with LexFlow’s rules service and template library to ensure every generated agreement is bar-compliant out of the box.
Automatically pulls referrer identity, contact info, bar number (if available), matter metadata, and proposed split percentages from LexFlow intake records into the draft. Normalizes data (e.g., names, addresses), deduplicates against the contact directory, and validates completeness and format. Applies business rules to catch invalid or disallowed splits (e.g., exceeding policy caps, missing client consent requirement) and highlights required fixes before drafting. Provides inline edit and lookup for missing details with audit logging of changes. Reduces duplicate entry and lowers error rates while keeping data consistent across matter, CRM, and document artifacts.
Generates fee‑split letters by conditionally assembling clauses and schedules based on practice area, jurisdiction, and firm policy. Supports parameterized sections for percentages, cost allocation, scope, term, and client consent statements, with previews and redlines. Enforces firm-configured guardrails (min/max splits, required disclosures, prohibited wording) at compose time. Enables template variants per practice area and branding, with centralized management and versioning. Outputs signature-ready documents optimized for mobile viewing while preserving print fidelity, ensuring accurate and consistent drafts without manual editing.
Routes agreements for e‑signature with configurable, role-based signing order (e.g., receiving firm partner → referring attorney → client if required), conditional participants, and per-role authentication. Provides mobile-optimized signing, automated reminder cadence, expirations, and fallback channels (SMS/email) leveraging LexFlow’s e‑sign service. Supports parallel or serial steps as dictated by jurisdictional rules or firm policy, and prevents out‑of‑order execution when compliance requires a sequence. Captures timestamps, IPs, and completion certificates for defensible records and updates matter status as signers complete steps.
Enables structured counters on split percentages and terms with automated re-validation against compliance and firm policy at each revision. Maintains a complete version history with diff views, comment threads, and approver sign-offs where policy thresholds are exceeded. Allows controlled edits to designated fields only, preventing unauthorized clause changes. Notifies stakeholders of counters and deadlines, and automatically regenerates the signable document upon acceptance. Produces an immutable audit trail for each negotiation cycle to support internal reviews and external audits.
Upon full execution, automatically attaches the signed agreement, completion certificate, and key terms (percentages, cost treatment, effective dates) to the LexFlow matter. Updates matter billing configuration to lock fee allocations and prevent conflicting changes downstream. Emits events to accounting and reporting integrations, and sets read-only flags on finalized fields while allowing authorized amendments via a formal change process. Ensures that revenue sharing is operationalized before work begins, reducing leakage and disputes.
Provides a centralized dashboard listing all fee‑split agreements by status (draft, out for signature, countered, expiring, executed) with filters by matter, practice area, jurisdiction, and referrer. Surfaces compliance warnings, approaching expirations, stalled signers, and policy exceptions. Sends configurable alerts (in-app, email, SMS) and daily digests to responsible users, with quick actions to nudge, extend, or withdraw offers. Exposes metrics on cycle time, acceptance rate, counters per agreement, and revenue-at-risk to inform operational decisions and improve conversion.
End‑to‑end referral attribution captured automatically across email ingest, SMS, magic links, signatures, and payments. Produces clear source-to-revenue mapping, partner scorecards, and exportable reports for payouts. Helps you reward the right partners, negotiate better splits, and double down on channels that actually convert.
Instrument LexFlow’s email ingest, SMS, magic links, e‑sign events, and payment events to automatically capture referral metadata (UTMs, partner codes, campaign IDs, landing source, and device context) at every touchpoint. Persist raw, timestamped events in a normalized schema tied to matters and contacts, with idempotency and retry logic for webhooks. Provide SDK/helpers for generating tracked magic links and SMS templates. Ensure near real-time ingestion with asynchronous processing that does not add latency to client-facing flows. This forms the foundation for end‑to‑end source-to-revenue mapping within the Attribution Ledger.
Create a deterministic/probabilistic identity resolution layer that unifies events across email, phone, magic link tokens, and e‑sign/payment identifiers into a canonical Client/Matter ID. Support cross-device and cross-channel stitching, duplicate suppression, and configurable lookback windows. Merge rules must preserve provenance and maintain reversible merges with audit notes. Handle re-engagements and reassignment when a contact changes numbers/emails. Accurate stitching ensures correct attribution across the full intake-to-payment journey.
Provide a rules engine to compute partner/channel credit using selectable models (first-touch, last-touch, time-decay, linear multi-touch) with configurable lookback windows, channel precedence, and exclusion lists (e.g., internal emails, direct traffic). Allow partner overrides per matter, minimum engagement thresholds, and automatic fallbacks when data is incomplete. Recomputations should be versioned with effective dates, preserving prior payout states. Expose a UI for admins to choose the model and simulate outcomes before applying changes.
Maintain an append-only ledger recording every attribution decision, including input events, model version, rules applied, final credit allocation, and user/system overrides. Implement tamper-evident hashing of ledger entries and store actor, timestamp, and reason codes. Support recalculation entries that link to superseded records without deletion. Provide searchable views and export endpoints to retrieve the full provenance for any payout line. This enables defensible, auditable source-to-revenue mapping.
Deliver dashboards that aggregate leads, qualified matters, conversion rates, time-to-engagement, realized revenue, refund/chargeback rates, and ROI per partner and channel. Include date and matter-type filters, cohort views, and drill‑downs to individual matters and their event trails. Provide benchmarks and anomaly flags (e.g., sudden drop in conversions). Allow saved views and shareable, read-only links for partner visibility without exposing client PII.
Generate payout periods with per-partner breakdowns that reflect the chosen attribution model, contracted split terms, thresholds, holdbacks, and clawback rules for refunds/chargebacks and disputed payments. Produce exportable CSVs and direct integrations to accounting systems (e.g., QuickBooks/Xero) with mapping to chart-of-accounts. Include a lightweight approval workflow, rounding rules, memo fields, and scheduled email delivery to finance stakeholders. Ensure amounts reconcile to the ledger and payment records.
Implement consent capture and preferences for tracking on magic links and web touchpoints, honor opt-outs, and minimize stored personal data in attribution records. Provide role-based access controls and field-level masking so partners and non-admin staff do not see sensitive client PII. Offer data retention settings, secure exports with redaction options, and comprehensive logging to support GDPR/CCPA and common law firm confidentiality obligations. Ensure Attribution Ledger features align with LexFlow’s security posture and policies.
Maps structured intake fields and documents directly into the receiving firm’s system with secure field-mapping presets. Supports common practice management platforms and CSV fallback, with role-based access and itemized sync status. Eliminates duplicate entry and ensures both sides work from the same source of truth from day one.
Implement a scalable integration framework that connects LexFlow to leading practice management platforms (e.g., Clio, MyCase, PracticePanther, Smokeball) using OAuth 2.0 with least-privilege scopes. Provide a connector abstraction layer that standardizes authentication, pagination, rate limiting, and error handling, enabling consistent CRUD operations across platforms. Include a universal CSV fallback that generates/imports schema-validated files aligned to mapping presets, with downloadable templates and optional scheduled SFTP delivery. Ensure transport encryption, secure secret storage, connector health checks, and alerting to guarantee reliable, compliant data movement from structured intake to the receiving firm’s system.
Provide a mapping editor that lets users apply secure, versioned presets by practice area and jurisdiction, then customize field-level mappings from LexFlow’s normalized intake schema to destination objects and fields. Support value transforms (e.g., phone normalization, date formats, name parsing), enum/value set mapping with validation, default values, and required-field checks. Include test-mode with sample payload preview and dry-run validation before activation. Enable preset sharing between firms with permission controls and change history to ensure consistent, auditable configuration across engagements.
Map generated documents and collected uploads from LexFlow to destination repositories (e.g., matter folders, document categories) with configurable naming conventions, versioning, and folder paths. Attach key metadata (e.g., client/matter IDs, e-sign envelope IDs, signing status, created-by, jurisdiction) and maintain cross-system links for traceability. Support common formats (PDF, DOCX) and ensure post-signature documents are transferred as finalized, tamper-evident copies. Provide duplicate detection and update-on-change behavior to keep both systems aligned without producing redundant files.
Implement granular RBAC for Co‑Counsel Sync, defining who can view mappings, edit presets, run or schedule syncs, approve changes, and access audit logs. Support firm-level and matter-level scoping, with role templates for Admin, Configurator, Operator, and Viewer. Enforce least-privilege access, integrate with SSO (SAML/OIDC) where available, and capture access events for auditability. Ensure sensitive fields and secrets (API keys, SFTP credentials) are masked and permission-gated to protect client confidentiality and comply with legal/ethical obligations.
Deliver a real-time dashboard that shows itemized sync status for records (clients, matters), individual fields, and documents, including timestamps, counts, and last-attempt outcomes. Surface human-readable error messages with remediation guidance, and provide per-item retry and bulk-retry controls. Generate immutable audit logs capturing payload hashes, before/after diffs, user actions, connector responses, and correlation IDs for each operation. Enable export and webhook/notification subscriptions (email, Slack) for failures and completion events to keep teams informed and compliant.
Support multiple initiation modes: event-based triggers (e.g., intake completion, document finalization, signature completion), on-demand one-click sync, and scheduled runs. Use idempotency keys and external IDs to prevent duplicates across retries and concurrent executions. Implement backoff and dead-letter handling for transient failures, with resumable batches to avoid partial updates. Provide pre-flight checks for connectivity and mapping validity, and allow per-matter throttling to respect partner rate limits while maintaining predictable delivery times.
Define per-field source-of-truth policies (LexFlow-only, receiving system, or bidirectional) with configurable conflict rules such as most-recent-wins, lock-after-signature, or approver-required. Track provenance and timestamps at the field level to inform decisions, and maintain a review queue for conflicts with inline diffs and suggested resolutions. Record accepted decisions to improve future automation and ensure both firms operate from a consistent, auditable data state from day one.
Enforces time-bound service levels on every referral. Auto-nudges recipients who haven’t opened, started intake, or signed the fee‑split; escalates to backup firms when thresholds hit; and notifies the referrer with live status. Prevents lead decay, protects the client experience, and keeps high-stakes referrals from stalling.
Configurable SLA policies that define time thresholds for key referral milestones (first open, intake start, intake completion, fee‑split signature, client e‑sign) with per-state, practice-area, and partner overrides. Supports business hours, firm time zones, observed holidays, and quiet hours to ensure nudges and escalations respect compliance and recipient availability. Includes default templates, inheritance, and a simulator to preview when nudges and escalations will fire for a given referral. Policies are versioned, auditable, and applied automatically on referral creation and updates.
A durable state machine that tracks referral lifecycle events across channels (open, click, intake started, intake completed, fee‑split signed, client e‑signed) and manages per-SLA timers. Ensures idempotent, exactly-once processing, retries on transient failures, and pause/resume when a referral is on hold or reassigned. Emits structured events to trigger nudges, escalations, and notifications, with backoff and dead-letter handling. Persists state for recovery and produces a complete timeline for auditing.
Automated reminder sequences delivered via SMS and email with jurisdiction-compliant content and opt-out handling. Templates support personalization (recipient name, matter type, deadlines), deep links into intake or signing, and localization. Cadences adapt to SLA stage and pause automatically upon recipient action. Includes send throttling, quiet hours, rate limiting, and per-partner branding. Tracks deliverability and engagement (delivered/opened/clicked/replied) to inform escalation logic.
Automated reassignment of stalled referrals to a configured pool of backup firms when SLA thresholds are breached. Supports routing strategies (round‑robin, weighted by past performance/SLA adherence, geography/jurisdiction fit), acceptance windows, and conflict checks before transfer. Transfers all context, collected intake data, and documents securely with updated fee‑split terms. Notifies original and backup firms, records reason codes, and supports reversion rules if the original firm engages within a grace period. Full audit trail of ownership changes.
Real-time notifications (email/SMS/Slack/webhook) to referrers with current referral status, upcoming SLA deadlines, and actions taken (nudges sent, escalations executed). A dashboard surfaces SLA health by referral and partner, shows countdowns to next thresholds, and provides an event timeline and nudge/escalation history. Allows authorized users to snooze, override, or manually escalate with mandatory reason codes. Supports filtering, export, and role-based access within LexFlow.
Immutable, time-stamped logs for all SLA-related events, notifications, escalations, and policy changes with actor identity and request metadata. Supports evidence-grade exports, configurable retention, and redaction of PII where required. Enforces role-based access and captures consent/opt-out states to satisfy TCPA, CAN‑SPAM, and state bar solicitation/advertising requirements. Links audit entries to documents and e‑sign envelopes to maintain an end-to-end chain of custody.
Aggregated reporting on SLA adherence, time-to-first-touch, time-to-engagement, nudge effectiveness, escalation rates, and conversion outcomes by partner, practice area, and jurisdiction. Generates scorecards that inform routing weights for backup selection and highlight underperforming partners. Includes trend charts, benchmarks, and scheduled report delivery to stakeholders. Exposes metrics via API for BI tools.
Guests scan a posted QR to self‑check in, pick language, and select matter type in seconds. LexFlow assigns a ticket number, launches a personalized SMS intake link, and deduplicates returning visitors—shrinking lines and kicking off clean, structured data immediately.
Provide admins the ability to create and manage per-location, per-queue dynamic QR codes that resolve to a short, signed URL carrying location and campaign context. Support printable poster templates, rotation/TTL of QR targets to prevent abuse, device fingerprinting and basic rate limiting, and automatic UTM tagging for analytics. The service must map scans to the correct firm location in LexFlow, initialize a check-in session, and log scan events for audit and diagnostics.
Deliver a lightweight, mobile-first web check-in that loads in under 2 seconds on 3G, offers a language picker with persisted preference, and is fully localized (copy, date/phone formats) while meeting WCAG 2.1 AA. Collect minimal fields (name, mobile number) to initiate intake, validate phone format by region, and initialize a secure, ephemeral session. Persist language and session context for downstream intake and messages, and gracefully handle poor connectivity with retry and state restoration.
Present a configurable list of matter types (with icons and translations) filtered by location, and capture jurisdiction/state when needed. Map selections to firm-defined workflows and state-specific templates in LexFlow, passing structured context (matter type, jurisdiction, location, language) to auto-launch the correct intake path. Support admin configuration, ordering, and A/B testing of options, and emit analytics on selections to inform template optimization.
Assign sequential, per-location daily ticket numbers at check-in and display the ticket to the guest with an estimated wait time. Provide a real-time queue view for staff with actions (start, pause, transfer, resolve) and optional public status screen feed. Send SMS updates on status changes and support SLAs/alerts for long waits. Integrate tickets with LexFlow contacts/matters and audit all state changes for accountability.
Match check-ins to existing contacts and open matters using verified phone number as the primary key with optional secondary fuzzy signals (name, DOB) and configurable lookback windows. Prevent duplicate records, attach the new ticket to the correct entity, and prompt for confirmation when confidence is low. Provide an admin review queue for ambiguous matches and maintain an audit trail of match decisions for compliance.
Upon successful check-in, generate a secure, expiring magic link that deep-links into the appropriate intake flow with context (language, matter type, jurisdiction, location, ticket). Deliver via SMS using the firm’s sender ID, with delivery status tracking, retry/backoff, and STOP/HELP compliance. Allow reissue of links on demand, ensure links survive app switching, and guard with token binding and expiry to protect PII.
Present clear consent language (locale-aware) for SMS/TCPA and privacy policy acknowledgement during check-in, and store timestamped, immutable consent artifacts tied to the contact and session. Apply data minimization, encrypt PII in transit/at rest, and provide retention controls for check-in records. Emit comprehensive audit logs for scans, matches, ticket state changes, and message events, with export APIs for compliance requests.
Live, per‑lane wait‑time estimates with automatic SMS updates like “You’re up in 2.” Staff get throughput projections and bottleneck alerts, reducing walk‑aways, calming crowds, and helping clinics hit 30+ processed per hour.
Enable administrators to define service lanes (e.g., Intake, Notary, Attorney Consult) with SLA targets, service rules, and capacity per lane. Support client check-in from multiple sources (SMS link, web kiosk, receptionist console) capturing contact info, matter type, language, and SMS consent. Automatically assign clients to the correct lane based on configurable rules, deduplicate entries, and link each check-in to an existing or new LexFlow contact/matter. Persist queue events (arrival, start, complete, no-show) to power ETA calculations, analytics, and audit trails. This establishes the canonical queue state required for accurate wait estimates and downstream notifications while fitting into LexFlow’s intake and document workflows.
Compute per-client, per-lane wait-time estimates using queue position, historical and live average handle time by lane and matter type, and current staffed capacity. Continuously recompute ETAs on state changes (check-in, start/finish, no-show, staff added/removed) with an update cadence of ≤60 seconds. Support priority flags (e.g., scheduled, ADA, VIP), capacity overrides, and confidence intervals. Provide an API and internal service for consuming ETAs across the product (client status page, staff dashboard, SMS triggers). Persist snapshots for auditability and to improve accuracy over time.
Deliver event-driven SMS updates such as initial ETA, key threshold updates (e.g., 20, 10, 5, 2 minutes), significant delays, and "You’re up" prompts with unique status links. Manage TCPA-compliant consent, opt-in/opt-out (STOP/HELP), throttling to prevent over-messaging, quiet hours, and multilingual templates. Integrate with SMS providers (e.g., Twilio) with retry/fallback to email when SMS fails. Expose configurable templates and triggers per lane and matter type. Log all messages for compliance and attach communications to the client’s LexFlow record.
Provide a real-time dashboard showing queue length, median/95th percentile wait, average handle time, staffed capacity, and projected completions per hour by lane. Display individual ETAs, no-show indicators, and SLA attainment. Enable quick actions (mark no-show, reassign lane, add/remove staff capacity, pause lane) and show the expected impact of actions on projections. Role-based access ensures only authorized staff can make changes. Responsive design supports tablets at clinics and desktops at the office.
Continuously compare live metrics against targets to detect forming bottlenecks (e.g., ETA > threshold, throughput trending below goal, spike in arrivals). Generate actionable alerts with recommended mitigations (redistribute staff, open a new lane, adjust templates) via in-app notifications and optional SMS/Slack/email for supervisors. Allow configurable thresholds and schedules, and record incidents with annotations for later analysis.
Identify potential walk-aways and no-shows using missed-call markers, lack of response to "You’re up" prompts, or geofenced kiosk inactivity. Mark and report abandonment events, capture reasons when available, and automatically send re-engagement SMS with options to reschedule, complete intake remotely, or request a callback. Feed abandonment metrics back into forecasting to improve ETA accuracy and reduce future drop-off. Surface abandonment and recovery rates in analytics and attach outcomes to the client’s LexFlow record.
Rule‑based triage that routes each intake to the right station (e.g., Spanish, Family Law, Notary), balancing load by language, complexity, and urgency. One‑tap reassignments and stall alerts keep matters moving without chaos.
Pre‑bundled, state‑specific packet sets for common clinic matters (e.g., expungements, name changes). One tap launches the correct intake, clauses, and document stack—cutting setup time to seconds and eliminating template errors under pressure.
Two‑way, in‑thread translation for 100+ languages with legal‑term normalization. Staff type in English; clients receive clear SMS/web messages in their language. Originals and translations are logged for auditability and follow‑up accuracy.
Start on a staff tablet, then securely hand off to the client’s phone via QR or magic link. The session resumes mid‑flow with saved answers—no retyping, no shared device risk, and faster throughput at each station.
Automated post‑clinic texts that deliver signed copies, next‑step checklists, appointment links, and payment/fee‑waiver options. Language‑aware and time‑boxed, it converts clinic visitors into retained clients and closes the loop on outcomes.
Detects and segments mixed‑language text (e.g., Spanglish) at the phrase level, normalizing grammar and terminology while preserving legal meaning. Prevents misinterpretation, boosts extraction accuracy, and feeds clean, consistent data into state‑specific templates—no manual retyping.
Expands slang, shorthand, and colloquialisms into precise, jurisdiction‑aware legal terms using practice‑area lexicons. Converts “got jumped” into “assault,” “baby daddy” into “putative father,” and flags ambiguous phrases for one‑tap review—cutting back‑and‑forth and standardizing document language.
Interprets emojis and reactions as structured intents and sentiments (urgency, consent, injury severity, risk). Auto‑toggles relevant intake fields and clause variants, capturing nuance from casual texts so documents reflect true context without guesswork.
Corrects dialect‑specific spellings, diacritics, and speech‑to‑text artifacts across English/Spanish variants. Resolves name/address variants and normalizes units and date formats, reducing typos that derail ID verification and ensuring spotless data lands in your docs.
Extracts people, dates, locations, amounts, case numbers, and matter types from bilingual threads and auto‑fills structured fields with confidence badges. Click‑through highlights show the source phrase for instant validation, accelerating intake while maintaining traceability.
When confidence is low or key details are missing, auto‑texts micro‑questions in the client’s language (e.g., county, incident date, relationship). Merges replies back into the intake in real time, resolving ambiguity without staff intervention and keeping momentum to e‑sign.
Delivers a plain‑language, bilingual summary of the cleaned facts and key fields for the client to confirm or correct in a tap. Logs confirmation with timestamp and device fingerprint, improving accuracy, reducing disputes, and strengthening your audit trail.
A face-to-face intake and drafting workspace that works with zero signal. Tap through matter-specific prompts, toggle clauses, and generate state-specific documents from cached rulepacks—so you can retain clients in the hallway without a network. Keeps momentum, prevents retyping, and produces signature‑ready drafts on the spot.
One‑tap preloading of templates, clause libraries, and automation logic for your jurisdictions. Version‑pinned and fully searchable offline, with clear compliance badges. Delta‑updates on reconnection keep your offline cache fresh without heavy downloads, ensuring accuracy and instant load times in dead zones.
Capture legally binding signatures offline with role‑aware sequencing right on your device. Each envelope is locally sealed with cryptographic hashes, device fingerprint, and timestamp; on reconnect, it auto‑applies a time‑authority stamp, delivers copies, and posts receipts—creating an audit‑grade trail even when court Wi‑Fi is down.
When signal returns, a conflict‑aware engine merges offline edits, queued intakes, and signatures. It deduplicates contacts/matters, surfaces human‑readable diffs, and applies changes in the right order to documents, MatterSync, and billing. Avoids overwrites and double work while preserving a clean audit history.
Snap court notices or paper forms and get instant offline OCR. Auto‑extracts case numbers, parties, dates, courts, and captions to prefill intake fields and document headers. Confidence badges and tap‑to‑correct keep you fast and accurate—turning paper into structured data without a connection.
Detects weak or metered connections and shifts to a low‑bandwidth mode. Compresses documents, bundles changes, defers heavy uploads, and prioritizes critical actions like e‑sign receipts and SMS invites. Preserves battery and ensures the most important steps complete first as bars flicker in and out.
Offline data stays encrypted-at-rest with passcode/biometric lock and MDM support. Set retention timers to auto‑purge after successful sync or a defined window, with panic‑wipe for sensitive matters. Maintains client confidentiality while retaining a portable, exportable offline audit log until it’s safely synced.
Innovative concepts that could enhance this product's value proposition.
After e-sign, auto-texts a one-tap retainer link (Apple Pay, ACH) with trust/operating split. Posts payment status back to matter, slashing drop-off between signature and payment.
Validates state-specific clauses in real time, blocking risky language and suggesting approved replacements. Ships with audited rulepacks; logs every intervention for compliance reports.
Clients text a photo of their ID and a selfie; LexFlow checks liveness, matches faces, and attaches a verification report to the signed packet for KYC-grade assurance.
Turns vague referral emails into guided SMS intake, then shares a sanitized packet and auto-generates fee-split letters with e-sign and attribution tracking across firms.
Runs pop-up clinic mode with numbered queues, bulk SMS links, auto-language detection, and batch e-sign—processing 30+ walk-ins per hour with clear triage and handoff.
Cleans messy mixed-language texts, expands slang to plain legal terms, and maps emojis to intent—feeding structured fields that produce spotless, state-specific documents.
Lets attorneys draft from courthouses with no signal—queueing SMS intakes, caching templates, and syncing e-signs when online—so engagements never stall on dead zones.
Imagined press coverage for this groundbreaking product concept.
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