AI for legal — where every answer traces to the document, and privilege still holds.

Legal work runs on a contradiction most AI vendors gloss over: the value of an associate's or an AI system's output is leverage — more documents reviewed, more precedent surfaced, faster — but the profession's entire liability model depends on confidentiality and privilege holding without exception. A tool that speeds up review but can't account for what it saw, stored, or logged isn't a shortcut. It's an exposure.

I build AI that holds both ends at once. Grounded retrieval so every answer comes from the actual document or matter file, not a model's approximation of one. Access controls and audit trails so you can show, precisely, what the system touched and what it didn't. Leverage where the work demands it, confidentiality everywhere else.

Where AI moves the number

The highest-leverage work in a firm or legal department is document-heavy, precedent-bound, and billed or budgeted by the hour — exactly where a well-built, source-cited system earns its keep.

• Contract & document intelligence — contract review, clause extraction, redlining support, and due diligence synthesis, with every finding tied to the exact page and clause.
• Research synthesis — case law and statute research, brief drafting support, and precedent summarization, source-cited so nothing goes in front of a judge or client unverified.
• Matter & knowledge retrieval — matter history retrieval, internal know-how search, and prior-work reuse that turns years of filed work product into something the team can actually find.

In legal, an answer you can't trace back to the document is unusable — not because it's wrong, but because you can't prove it isn't. I build systems that show their work, every time.