AI-Native Legal Operating System
A fully local, self-hosted legal workstation that runs entirely on your own hardware. No cloud. No subscriptions. No data ever leaving your network.
All data stays on your network. Period.
All inference via Ollama. No API keys.
Full CourtListener dataset indexed.
Own your tools. Forever.
AI watches your work and automatically suggests time entries. Research sessions, email correspondence, document review — captured with confidence scores you can approve in one click.

AI rates each suggestion so you know what to review
Real-time visibility into unbilled work in progress
Approve, edit, or dismiss entries instantly

Read opinions with AI-generated holdings, citation treatment signals, headnotes, and full citation network — all indexed locally.
Green/yellow/red treatment signals
Key holdings extracted by local LLM
Full citation network navigable
Full procedural timeline
Track 15,000+ documents across custodians. Tag, flag, batch review with Bates numbering — integrated right into your matter workflow.

Documents Tracked
Review Progress
Flagged for Review
Relevance Tagging
Everything opens as a tab. Cases, matters, documents, billing views — all in resizable, side-by-side panels. Work like a developer, practice like a lawyer.

PostgreSQL full-text search with pgvector semantic search. Find cases by concept, not just keywords.
Local LLM extracts key holdings and legal principles from every opinion. No cloud API calls.
Red/yellow/green treatment indicators. Know if a case has been overruled, distinguished, or followed.
Full Indiana Code indexed with historical versions (2009-2025) and AI-powered statute treatment analysis.
Navigate the full citation network. See what cites what, and how — applied, distinguished, overruled.
Ask questions grounded in the actual corpus. AI retrieves relevant passages and cites its sources.
A first-class AI assistant that spans all modules — with guardrails that keep your data safe.
AI connects to databases with read-only credentials. It cannot write directly to any production table.
All AI output lands in a staging schema first. Nothing goes to production without review.
The assistant knows what you have open and can synthesize across caselaw and practice management.
Runs beautifully on a Mac Mini with 16GB RAM. No server room, no IT department, no six-figure infrastructure budget.
The entire system — 1.4 million opinions, full-text search, semantic vectors, and local AI inference — fits on hardware you can buy at the Apple Store and set up in an afternoon.