Legal AI Operating System
A platform for building, deploying, and governing AI across the legal enterprise. Governance-first architecture. Every decision auditable, explainable, and traceable by design.
The Three Problems This Solves
| Problem | Stat | What the OS Does |
|---|
| Shadow AI — your people are already using AI without your knowledge or control | 69% of legal professionals use generative AI for work | Provides a safe, governed alternative that replaces the ChatGPT tab |
| Fake Governance — most firms have no AI policy, or a policy nobody reads | 43% of firms have no AI policy and no plans to create one | Governance is structural — Row-Level Security at the database, not a PDF |
| Billable Hour Pressure — clients know AI makes routine work cost zero | 85% of clients say firms should disclose AI use; 64% expect to depend less on outside counsel | Proves value with an audit trail, turns compliance into competitive advantage |
The Architecture
Five layers. Each independent. Governance at the center.
Layer 4 — Organizational Model ← Maps functions to practice groups, divisions, strategy
Layer 3 — Program Operations ← Portfolio dashboard, enablement, discovery, engagement
Layer 2 — Legal AI Functions ← Standalone apps. Each owns UI, workflow, data, governance contract
Layer 1 — Governance & Trust ← Auditability, Explainability, Traceability. Structural, not policy.
Layer 0 — Knowledge Foundation ← Unified KB, precedent libraries, clause libraries, search
The three non-negotiable pillars:
- Auditability — Full prompt capture. Response + reasoning chain. Deterministic score replay. Structured JSONL logging. Immutable.
- Explainability — Chain of reasoning visible to the reviewer. Classification decisions cite the specific clause or signal. No black boxes.
- Traceability — Who, when, what, why. Every override logged. Every artifact exportable. The answer to "prove it" is one query away.
The architectural principle: Deterministic over LLM. The platform never trusts an LLM score directly. Every classification, risk score, and recommendation goes through a programmatic scoring layer. The LLM provides reasoning. The system provides judgment.
What's Built
Deployed
- Matter Intake & Triage — Two-stage pipeline (Router → Evaluator). 5 weighted dimensions. Full audit trail. Under 10 seconds.
- Contract Review & Analysis — 5 specialized agents. RAG-powered with 30+ legal standards. 360 contracts/hour. Production.
- Employment Legal Agents — Separation agreement generator (US, EMEA, AU). Legal metrics analysis. State report filing. RLS walls between employment and commercial.
- Cowork Legal Plugin — 9 skills for in-house legal teams. Playbook-driven contract review. NDA triage. Compliance checks. Risk assessment.
Roadmap
- Due Diligence Accelerator — Bulk document review. Clause-level comparison. Deltas only to the reviewer.
- Regulatory Change Monitor — Monitors regulatory updates across jurisdictions. Maps changes to active matters.
- KM & Precedent Intelligence — "Have we done this before, and what did we argue?" — answered in seconds.
- Client Value Reporting — "Here's what AI saved this quarter" — with the audit trail to prove it.
Repository Structure
legal-os/
├── README.md ← You are here
├── VISION.md ← Full platform vision (all 8 functions, present tense)
├── BUILD_PLAN.md ← Concrete build plan for roadmap items
├── matter-intake/ ← Matter Intake & Triage (FastAPI + Next.js)
├── contract-review/ ← Contract Review & Analysis (FastAPI + Next.js + Celery)
├── plugins/ ← Cowork Legal Plugin (9 Claude skills)
└── governance/ ← Governance documentation + diagrams reference
Links
Built by Charlie Fuller. Governance-first. Deterministic over LLM. The audit trail is the product.
