Library

The source-of-record documents behind Lawma — the four core planning specs, the consolidated investor-facing Research Foundation memo, the briefing packet prepared for ethics counsel, and the long-form diligence archive. The designed planning pages (Business Plan, Financial Tables, Revenue Explained, Requirements, Engineering, Advertiser Portal) live under Plan and Product in the top nav.

Core planning documents

The four master markdown specs. Each cascades into the designed pages above and is the audit trail behind every decision.

Product Requirements Specification

Product-owner / business-analyst grade specification — vision, personas, user paths, functional and non-functional requirements, data model, and the LA County divorce form inventory.

Investor Business Plan

Pre-seed / seed fundraising plan — problem, solution, market sizing, business model, competition, go-to-market, team, financials (incl. Plans A / B / C raise paths), and the raise.

Engineering Plan

Architecture, technology stack (AWS-native single-cloud per D27), security architecture for privileged legal data, the LLM / RAG design, data model, build sequencing, and cost estimate.

Revenue & Monetization Model

Five-stream revenue model — 10% marketplace platform fee, non-lawyer referrals, attorney sponsored placement, curated direct-sold ads, EFSP transaction fees — plus the optimization playbook and a five-year projection.

Safety memo

The internal diligence counterpart to the public Safety page — the five hallucination-control guardrails, the structural privilege + UPL moat with verbatim competitor disclaimers, and the attorney control surface that operationalizes CRPC 1.1 / 5.3.

Safety, Hallucination Control & the Privilege Moat

The diligence-level counterpart to the public /safety page. The five guardrails between AI and the courthouse (RAG corpus, current-law verification, hyperlinked citations, reasoning-trail transparency, mandatory attorney sign-off with edit + audit trail), the structural privilege/UPL moat that the self-service competitors cannot match (with their own verbatim disclaimers), and the engineering/ethics architecture behind the supervising-attorney control surface.

Competitive landscape (2026)

A complete market map of U.S. consumer legal-tech as it stands in 2026 — taxonomy, vendor profiles, threat assessment, and Lawma's position against the well-funded near-neighbors.

Competitive Landscape & Positioning (2026)

A complete map of the U.S. legal-tech market as it stands in 2026 — every vendor profiled from its own marketing, sorted into a seven-category taxonomy, scored on client-facing AI depth and structural attorney supervision. Why Lawma's quadrant is empty, why no other vendor matches Lawma on all five defining attributes, the threat-tiered analysis of the well-funded near-neighbors (Lawhive, General Legal, Hello Divorce, Boundless, Prosei), and the standard partner-meeting answers.

Archive — long-form research memos (14)

The 14 long-form diligence memos that fed the Research Foundation synthesis above. Each remains available for direct linking from the synthesis memo and from older planning documents. Kept for audit-trail completeness; not the headline an investor needs to read.

Memo 01 — UPL & Privilege

Validated research on unauthorized-practice-of-law exposure and attorney-client privilege under the supervised-paralegal architecture.

Memo 02 — CA Regulatory & Fee-Splitting

Validated research on California lawyer-referral-service rules, B&P §6155, and Rule 5.4 fee-splitting — the boundaries that shape every Lawma revenue stream.

Memo 03 — LLM Architecture

Local vs. cloud models, hallucination risk, the recommended AI architecture, and why Anthropic Claude under zero-data-retention is the chosen provider.

Memo 04 — Market & Competition

Access-to-justice gap sizing, competitor mapping (LegalZoom / Hello Divorce / Rocket Lawyer / Avvo / etc.), and the California divorce process baseline.

Memo 05 — Market Expansion (5-state → 15-state)

Per-state addressable-market sizing across the launch and expansion footprint — CA, TX, NY, FL, IL plus the 10 Y4/Y5 platform-leverage states. Source for D31 / D35 case-type expansion.

Memo 06 — Adoption Curve & S-Curve Methodology

The SRL × adoption × ARPU methodology underpinning every revenue projection — 33% reach ceiling, per-state S-curve, conservative-bracket scenarios. Anchors D28 and §14.4 of the business plan.

Memo 07 — Numbers Audit

Investor-credibility audit: 11 findings + ~110-row stats inventory verifying every quoted figure in the business plan against primary sources.

Memo 08 — EFSP Economics

Electronic Filing Service Provider economics: certification path, per-state pricing comparison (InfoTrack / FileTime / Tyler), and the phased integrate-first-certify-second strategy locked in D30.

Memo 09 — Legal Authority Quotes

Twelve primary-sourced access-to-justice quotes (Hecht, Hubbard, Sandefur, ABA Resolution 108, LSC Justice Gap 2022) and three unbundled-representation policy citations used across homepage / for-attorneys.

Memo 10 — Marketing Strategy

Channel strategy for the content engine + institutional distribution (LSC Innovations conference, SRLN, state bars, law-school clinics). Companion to docs/05 social-content scaffold.

Memo 11 — Instagram Launch Posts

Draft launch-week Instagram post copy + visual direction (AI-for-humanity narrative, 5 content pillars, 90-day calendar).

Memo 12 — Guided Interview Standards

Standards for the AI-guided intake interview: question taxonomy, branching logic, attorney-review gates, audit logging, accessibility compliance (WCAG 2.1 AA).

Memo 13 — Sponsored Placement Revenue Models

Comparable analysis (Avvo, FindLaw, Justia, Lawyers.com) plus the $149 Featured / $349 Premier tier structure recommendation locked in D32. Source for Stream 4 of the revenue model.

Memo 14 — Conversion, CPM & Monetization Rate Research

Source-of-truth for the locked Y5 rates underwriting Tables 2 + 4 — visitor → paid conversion 1.9%, sponsored adoption 10%/3%, programmatic CPM $5, referral $22, EFSP $2.50, marketplace 10%. Every rate cites a comparable platform.