AI that knows the law. For lawyers who can't afford Harvey.
Solo lawyers and small firms spend 40% of their time on tasks AI could handle — but they can't afford enterprise legal AI.
A solo attorney with 50 active cases handles everything: document review, legal research, contract drafting, client communication, billing. They bill $200-400/hour but only 60% of their time is billable. The other 40% is research, drafting, and review — tasks that AI can accelerate 3-10×.
The tools today are either too expensive or too generic:
- Harvey: $1K-5K+/seat/month — built for AmLaw 100, not solo firms
- ChatGPT/Claude: generic, no legal domain knowledge, hallucinates citations
- Westlaw/LexisNexis: research only, $300-800/month, no AI features
- Mike (OSS): requires self-hosting Supabase + R2 + multiple API keys
No affordable, self-improving AI exists for the 1.2 million US lawyers NOT at big firms.
| Signal | Number |
|---|---|
| US lawyers | 1.3 million |
| Lawyers at firms <50 attorneys | 75% (975K) |
| Solo practitioners | 400K |
| Average hourly rate | $200-400 |
| Time lost to non-billable research/drafting | 15-25 hours/week |
| Harvey's price (est.) | $1K-5K+/seat/month |
| ChatGPT/Gemini hallucination rate on legal | 15-30% |
This is a high-frequency, high-cost pain point for a million professionals with no affordable solution.
- Solo practitioners (400K in US): doing everything themselves, drowning in documents
- Small firms (2-10 lawyers): sharing overhead but can't afford dedicated legal ops
- Mid-size firms (10-50): have some tools but nothing AI-native
- Legal aid organizations: massive caseloads, zero AI budget
- Paralegals: spend days on document review that AI could do in minutes
LegalOS is an AI legal assistant that handles the four highest-time-cost tasks for lawyers:
| Feature | What It Does | Time Saved |
|---|---|---|
| Document Review | Analyzes contracts, briefs, discovery — highlights risks, missing clauses, inconsistencies | 70% |
| Legal Research | Searches case law (CourtListener), statutes, regulations — returns cited, verified answers | 60% |
| Contract Drafting | Generates first drafts from templates + context — clause suggestions, risk flags | 50% |
| Case Analysis | Summarizes case documents, extracts key facts, identifies precedent relationships | 80% |
No hallucinated citations. Every legal reference is verified against CourtListener or user-uploaded sources.
- Upload — Drop contracts, briefs, discovery documents (PDF, DOCX, TXT)
- Ask — "Does this contract have a non-compete clause? Is it enforceable in California?"
- Research — "Find cases where California courts invalidated non-competes for software engineers"
- Draft — "Generate an employment agreement with California-compliant non-compete language"
- Learn — OV5 experiments on accuracy, relevance, and completeness — compounds weekly
Document Review:
- Clause extraction: identifies 50+ standard contract clauses automatically
- Risk scoring: flags unusual terms, missing protections, jurisdiction-specific issues
- Comparison: side-by-side analysis of two versions of the same document
- Batch processing: analyze 100+ documents simultaneously
Legal Research:
- CourtListener integration: 7M+ US court opinions, searchable
- Citation graph: traces precedent relationships (which cases cite which)
- Jurisdiction filter: limit results to specific courts, states, circuits
- Natural language: "cases where non-compete was found unenforceable for lack of consideration"
Contract Drafting:
- Template library: 20+ standard agreements (NDA, employment, service, lease)
- Context-aware: adapts clauses based on jurisdiction, industry, party type
- Clause library: reusable clause snippets with jurisdiction notes
- Redline generation: produces track-changes output for existing contracts
Case Analysis:
- Auto-summarization: extracts parties, claims, defenses, key dates
- Issue spotting: identifies legal issues from complaint language
- Timeline generation: creates visual case timelines from document dates
- Precedent mapping: shows how cited cases relate to current matter
| Segment | Count (US) | AI Need | Price Sensitivity |
|---|---|---|---|
| Solo practitioners | 400K | High (doing everything alone) | High |
| Small firms (2-10) | 350K | High (no dedicated ops) | Medium |
| Mid-size (11-50) | 150K | Medium (some tools) | Medium |
| Legal aid | 80K | Very high (massive caseloads) | Low |
| Total addressable | ~1M |
- Harvey serves the top 5% — AmLaw 100, Fortune 500. The other 95% have no AI.
- Mike proves demand — 3.7K GitHub stars for an OSS legal AI platform
- CourtListener is free — 7M+ US court opinions, no API cost for bulk data
- Lawyers bill by the hour — if AI saves 10 hours/week at $300/hr, that's $3K/week value
- Regulatory tailwind — courts increasingly expect AI-assisted research efficiency
| Harvey | Mike | Westlaw/Lexis | ChatGPT | LegalOS | |
|---|---|---|---|---|---|
| Price | $1K-5K+/mo | Free (OSS) | $300-800/mo | $20/mo | $49-199/mo |
| Legal-specific | ✅ | ✅ | ✅ | ❌ | ✅ |
| Document review | ✅ | ❌ | ❌ | ❌ | ✅ |
| Case law search | ✅ | ✅ | ✅ | ❌ | ✅ |
| Contract drafting | ✅ | ❌ | ❌ | Partial | ✅ |
| Self-improving | ❌ | ❌ | ❌ | ❌ | ✅ |
| Verifiable citations | ✅ | ✅ | ✅ | ❌ | ✅ |
| Open source | ❌ | ✅ | ❌ | ❌ | ✅ |
Flat SaaS. No per-document pricing. No revenue share.
| Tier | Monthly Price | Who | What |
|---|---|---|---|
| Free | $0 | Law students, legal aid | 5 document reviews/mo, 10 research queries/mo |
| Solo | $49/mo | Solo practitioners | 50 reviews/mo, unlimited research, 20 drafts/mo |
| Firm | $149/mo | Firms 2-10 | 200 reviews/mo, unlimited research, 100 drafts/mo, team sharing |
| Pro | $299/mo | Firms 11-50 | Unlimited everything, priority support, API access |
| Solo | Firm | |
|---|---|---|
| Revenue/user/month | $49 | $149 |
| Operating cost/user/month | ~$5 | ~$8 |
| Gross margin | 90% | 95% |
| Break-even users | 5 Solo | 2 Firm |
| Month | Users | Revenue | Milestone |
|---|---|---|---|
| 1 | 50 | $2,450 | Beta launch |
| 3 | 200 | $9,800 | PMF validation |
| 6 | 500 | $24,500 | Growth |
| 12 | 1,500 | $73,500 | Self-sustaining |
| 24 | 5,000 | $245,000 | Market leader |
Goal: 200 active users, zero revenue. Build trust and case studies.
Why: Legal aid has massive need, zero budget. Law students will become paying lawyers. Free users provide feedback and testimonials.
Channels:
- Legal aid organization partnerships (free access)
- Law school clinics (free for educational use)
- Bar association newsletters and events
Goal: 500 paying users at $49/mo.
Channels:
- Solo/small firm Facebook groups and Reddit (r/LawFirm, r/Lawyertalk)
- State bar association CLE (Continuing Legal Education) presentations
- Content marketing: "I let AI review my contracts for 30 days — here's what it found"
- SEO: "AI contract review for solo attorneys" "affordable legal AI"
Goal: 1,500 paying users, $50-75K MRR.
Channels:
- Firm referrals (partners bring in associates)
- Legal tech conferences (ABA Techshow, Legalweek)
- Integration partnerships (Clio, MyCase, PracticePanther)
- Direct sales to small firm managing partners
| Signal | Target |
|---|---|
| Free → Paid conversion | >25% |
| Month-2 retention | >70% |
| Referral rate | >20% of new users |
| Time saved per lawyer/week | >5 hours |
| Citation accuracy | >95% |
| NPS (Net Promoter Score) | >40 |
CreatorOS and SeedSight already serve entrepreneurs who need legal protection. Every TikTok creator signing a brand deal. Every RedNote brand managing suppliers. LegalOS is their natural next step.
| Platform | User | Job-to-be-Done | LegalOS Solution |
|---|---|---|---|
| TikTok | Creator with 50K+ followers | "I got my first $5K brand deal. The contract is 12 pages. I don't know if it's fair." | Contract review: flags unfair terms, explains in plain language |
| TikTok | Creator hiring first employee | "I need an employment contract. I have no idea what's legally required." | Employment agreement: 5 questions → compliant contract |
| TikTok | Creator launching a product | "I want to trademark my brand name. Where do I start?" | IP filing guide + NDA generator for suppliers |
| RedNote | Brand sourcing from 1688 | "My supplier sent a contract in Chinese. Does it protect me?" | Bilingual contract review + enforceability check |
| RedNote | Brand managing 5+ KOLs | "Each KOL has a different agreement. How do I standardize?" | KOL agreement template library, customizable per tier |
| Both | Entrepreneur growing fast | "I need legal foundations but can't afford a $400/hr lawyer." | All-in-one: $49/mo instead of $400/hr |
CreatorOS/SeedSight user (1,500 total)
→ "Review this contract" button → 300 click (20%)
→ Free trial (1 review) → 150 try (50%)
→ Convert to LegalOS Solo ($49/mo) → 75 convert (50%)
→ Revenue: $3,675/mo incremental. Zero acquisition cost.
Start from China — the largest untapped legal AI market. Then expand to civil law neighbors, common law markets, and emerging markets. Each wave builds on the last.
| China | |
|---|---|
| Legal system | Civil law (socialist) |
| Lawyers | 750K+ (growing 8-10%/year) |
| Law firms | 35K+ |
| Case law | 中国裁判文书网 (130M+ opinions, public) |
| Statutes | 全国人大法规数据库 |
| Database partner | 北大法宝 (PKULaw) |
| Language | Chinese |
| Distribution | WeChat Mini Program |
| Price | ¥99-599/mo ($14-82) |
| Harvey equivalent | ❌ None exists |
| Revenue target (Month 4) | 1,000 users, ¥99K/mo ($14K) |
Why first: No legal AI competitor. 750K lawyers. WeChat has 1.3B users — lawyers already live there. Government mandates digital legal transformation. Statute databases are public. Zero app-install friction. Lowest operational cost, highest volume potential.
| Japan | South Korea | Taiwan | |
|---|---|---|---|
| Legal system | Civil law | Civil law | Civil law |
| Lawyers | 42K | 30K | 12K |
| Case law | 裁判所 (Courts.go.jp) | 국가법령정보센터 | 司法院法學資料檢索 |
| Language | Japanese | Korean | Traditional Chinese |
| Price | ¥3,900-19,900/mo | ₩39,000-199,000/mo | NT$990-4,990/mo |
Why next: Same civil law system. Similar legal structures (all influenced by German civil law). Chinese-character legal terminology transfers. Combined: 84K lawyers.
| Germany | France | Netherlands | Nordics | |
|---|---|---|---|---|
| Legal system | Civil law | Civil law | Civil law | Civil law |
| Lawyers | 165K | 70K | 18K | 25K |
| Case law | Bundesgerichtshof | Legifrance | Rechtspraak.nl | National courts |
| Language | German | French | Dutch | SV/DK/NO/FI |
| Price | €39-239/mo | €39-239/mo | €39-239/mo | €39-239/mo |
Why third: Largest civil law market outside Asia. GDPR compliance needed but OV5 can self-host per country. Combined: 280K lawyers. Builds on civil law adaptations from Waves 1-2.
| US | UK | Canada | Australia | |
|---|---|---|---|---|
| Legal system | Common law | Common law | Common law | Common law |
| Lawyers | 1.3M | 200K | 130K | 90K |
| Case law | CourtListener | BAILII | CanLII | AustLII |
| Language | English | English | English/French | English |
| Price | $49-299/mo | £39-239/mo | C$59-359/mo | A$69-399/mo |
Why fourth: Largest single market (1.3M US lawyers). New engine module: common law case citation and precedent mapping. CourtListener is free. Combined: 1.7M lawyers. Most revenue per user.
| India | Brazil | Southeast Asia | Africa | |
|---|---|---|---|---|
| Legal system | Common law | Civil law | Mixed | Mixed |
| Lawyers | 1.5M+ | 1.2M+ | 200K+ | 300K+ |
| Case law | Indian Kanoon | JusBrasil | National courts | AfricanLII |
| Language | English | Portuguese | EN/TH/VN/ID | EN/FR/PT |
| Price | ₹499-2,499/mo | R$49-249/mo | $9-49/mo | $9-29/mo |
Why last: Largest total lawyer population (3.2M+). Very price-sensitive. Ultra-low pricing, revenue from volume. Combined with earlier waves: addressable market of 6M+ lawyers worldwide.
China ──► Civil Law Asia ──► EU ──► US + Commonwealth ──► Emerging
│ │ │ │ │
│ │ │ │ │
▼ ▼ ▼ ▼ ▼
Civil law Same system Scale civil Add common Volume play
proven adjacents law to EU law engine ultra-low price
Why this order:
- China has zero competition, biggest single market, WeChat distribution
- Civil law neighbors share legal system — near-zero adaptation cost
- EU scales civil law to high-GDP markets
- US/Commonwealth adds common law engine (new module, not rebuild)
- Emerging markets monetize volume
| Wave | Users | Avg Price | Monthly Revenue | Share |
|---|---|---|---|---|
| China | 5,000 | ¥99 ($14) | $70,000 | 22% |
| Civil Law Asia | 400 | $59 | $23,600 | 7% |
| EU | 600 | €39 ($42) | $25,200 | 8% |
| US + Commonwealth | 1,500 | $49 | $73,500 | 23% |
| Emerging | 12,000 | $9 | $108,000 | 34% |
| Total | 19,500 | $300,300 |
| Layer | What Adapts | Effort |
|---|---|---|
| Case law source | New API/parser per country | ~1 .clj file |
| Statute database | New API/parser | ~1 .clj file |
| Contract templates | Jurisdiction-specific clauses | ~1 .clj file |
| Language | Translation layer (AI-assisted) | ~2 .clj files |
| Pricing | Country config | 1-line change |
| GTM | Local partnerships per wave | Non-code |
OV5 learns cross-market patterns. A contract clause flagged in China's Civil Code can inform reviews in Germany's BGB. A research pattern from UK common law can improve US precedent search. The ontology compounds globally across 6M+ lawyers.
| Layer | What Adapts | Effort |
|---|---|---|
| Case law source | New API/parser per country | ~1 .clj file |
| Statute database | New API/parser | ~1 .clj file |
| Contract templates | Jurisdiction-specific clauses | ~1 .clj file |
| Language | Translation layer (AI-assisted) | ~2 .clj files |
| Pricing | Country config | 1-line change |
| GTM | Local partnerships | Non-code |
| Regulatory | GDPR, data residency | Infrastructure |
OV5 learns cross-market patterns. A contract clause flagged in Germany can inform reviews in France. A citation pattern from UK common law can improve US research. The ontology compounds globally.
LegalOS is built and operated by OV5 — the self-improving AI system that runs experiments, learns from outcomes, and compounds knowledge. One person oversees direction. The system handles execution.
| Role | Traditional | LegalOS (OV5) |
|---|---|---|
| Backend engineer | $150K/yr | $0 |
| Frontend engineer | $130K/yr | $0 |
| ML/legal domain expert | $200K/yr | $0 (CourtListener + OV5 ontology) |
| DevOps | $130K/yr | $0 |
| Total saved | $610K/yr | $200/mo flat |
15 minutes/day: review kept experiments, approve high-risk proposals, set strategic direction. Everything else is automated.
| Milestone | When | Evidence |
|---|---|---|
| Product spec | June 2026 | This document |
| OV5 engine (shared infra) | June 2026 | CreatorOS modules (31 tests, 0 failures) |
| Clojure toolchain | June 2026 | test/lint/format/fix, CI-ready |
| CourtListener API feasibility | June 2026 | Verified: 7M+ opinions, free bulk data |
| Milestone | Target | Dependencies |
|---|---|---|
| Document parser (PDF, DOCX) | Month 1 | LibreOffice CLI + BB wrapper |
| CourtListener search module | Month 1 | src/legalos/case_search.clj |
| Contract clause extraction | Month 2 | src/legalos/doc_analysis.clj |
| Legal research engine | Month 2 | src/legalos/legal_research.clj |
| 10 legal aid beta partners | Month 2 | Working prototype |
| 50 law student users | Month 3 | Law school partnerships |
| First paying solo customer | Month 4 | Payment integration |
| 500 paying users | Month 8 | Content marketing flywheel |
| $50K MRR | Month 12 | Category leadership |
| Layer | LegalOS Owns | OV5 Enables |
|---|---|---|
| Sensor | Document accuracy, citation verification rate, user feedback | OV5 monitoring + CourtListener API health |
| Policy | Citation confidence thresholds, jurisdiction-specific rules | Experiment config |
| Tools | Document parsing, clause extraction, case search, drafting | clojure.test, clj-kondo, zprint |
| Quality Gate | 3 gates: lint → format → test. No hallucinated citations. | scripts/run-tests.sh |
| Learning | Keep-rate on document analysis accuracy, citation relevance | 100+ experiments/month compounds accuracy |
Same as TikTok vs RedNote for CreatorOS — LegalOS has jurisdiction variants. Each jurisdiction uses different data sources and legal systems, but the same OV5 engine powers all of them.
┌──────────────────────────────────────┐
│ DATA SOURCES (Public) │
│ CourtListener │ 中国裁判文书网 │ BAILII │
│ Legifrance │ CanLII │ 北大法宝 │
└──────────────┬───────────────────────┘
│
┌──────────────▼───────────────────────┐
│ OV5 SHARED ENGINE │
│ GTM Mayor │ Ontology │ World Store │
│ Experiment Loop │ 12 Backends │
└──┬──────────────┬───────────┬───────┘
│ │ │
┌────────────────▼──┐ ┌─────────▼──────┐ ┌──▼──────────────────┐
│ US LEGALOS │ │ 法治OS │ │ EU LEGALOS │
│ (Common Law) │ │ (Civil Law) │ │ (Civil Law) │
│ │ │ │ │ │
│ "Is this NDA │ │ "这份竞业限制 │ │ "Cette clause de │
│ enforceable?" │ │ 有效吗?" │ │ non-concurrence?" │
│ │ │ │ │ │
│ CourtListener │ │ 中国裁判文书网 │ │ Legifrance │
│ $49-299/mo │ │ ¥99-599/mo │ │ €39-239/mo │
│ 1.3M lawyers │ │ 750K lawyers │ │ 280K lawyers │
└───────────────────┘ └────────────────┘ └─────────────────────┘
One engine. One language. Three jurisdictions. Same scoring engine. Different data sources. Different legal systems. Zero additional infrastructure cost per jurisdiction.
Adding a new jurisdiction (Japan, Brazil, India) is a configuration change: new data source parser + jurisdiction-specific contract templates. The core engine (document review, research, drafting) doesn't change.
| What Changes | What Stays | |
|---|---|---|
| Per jurisdiction | Data source, contract templates, language, pricing | Document parser, clause extractor, AI routing, test suite |
| Per legal system | Case law API, statute database | Research engine, citation verification |
| Per language | UI, templates | Core logic, scoring, ontology |
LegalOS is one of five products OV5 powers from the same infrastructure:
| Product | Domain | Market |
|---|---|---|
| CreatorOS | TikTok product matching | 30M creators |
| SeedSight | RedNote brand intel | 300K brands |
| Amazon Seller | FBA product picks | 5M sellers |
| LegalOS | Legal AI (3 jurisdictions) | 6M+ lawyers |
| (next) | Domain TBD | — |
Same engine. Different domains. Zero additional infrastructure cost per product.
- No competition in China. 750K lawyers, zero AI legal platforms. First-mover advantage.
- No competition in US solo/small firm market. Harvey owns enterprise ($1K-5K/seat). No one serves the other 95%.
- Public case law databases are free. CourtListener (US), 裁判文书网 (China), BAILII (UK), CanLII (Canada), Legifrance (France). Zero API cost.
- Lawyers bill by the hour. 10 hours saved/week at $300/hr = $3K/week. $49/mo is trivial.
- Self-improving moat. Every document review, every research query feeds the ontology. Compounds across jurisdictions — a pattern learned in China improves US results.
- OV5 makes it possible. $200/mo total ops cost. 90%+ margins. One human, 15 min/day.