// Industry
Legal AI development
AI for legal — document review, research, and drafting grounded in the source, with citations you can check.
// The problem
Why this is hard
In legal, a confident hallucination is a sanction risk — a fabricated citation isn't a bug, it's a filing you can't make. AI genuinely helps with review, research, and drafting, but only if every claim traces to a real source you can check, confidential material never leaks, and a person stays in the loop on anything that matters.
// What matters here
The capabilities that move the needle
RAG & Knowledge Systems
Research and review grounded in the actual documents with citations back to the passage, so nothing is asserted that the source doesn't support.
LLM Integration & Evals
Drafting and review behind an eval suite, so quality is measured and a fabricated citation fails the gate rather than reaching a brief.
AI Agents & Automation
Document workflows automated with human-in-the-loop, so the lawyer reviews and signs off — the AI never files unattended.
MLOps & Infra
Confidentiality controls, access scoping, and the option to run models in your environment so privileged material stays private.
// Proof
Shipped in production
Legal — Contract review
first-pass review time
vs. full manual read-through
clauses linked to source
every flag cites the exact text
// FAQ
Common questions
// Related
Insurance
AI for insurance — claims, underwriting, and document automation that are accurate, explainable, and auditable.
Fintech
AI for fintech — document intelligence, automation, and decision support that hold up to an audit, not just a demo.
// Let's build
Building AI for legal?
Tell us where you are. We reply within a day with a concrete next step.