An agentic AI system that researches case law — and shows its work.

Automating multi-step legal research with bounded agents that cite, summarise, and flag for review.

−68%average research time per matter

At a glance

The challenge, approach & outcome.

Challenge
A mid-size firm's associates were spending half their time on first-pass research — finding cases, summarising holdings, building memo skeletons. Generic legal LLM tools hallucinated citations. Trust was the blocker.
Approach
Designed a bounded agent with tool calls into approved legal databases. Every claim is traced to a real citation, every summary cites the holding paragraph, and the agent refuses to answer rather than invent. Senior associate review on every output before partner sign-off.
Outcome
Research time per matter down 68%, citation accuracy at 97%, and zero fabricated citations across four months of production traffic. Associates redirected to higher-value drafting and strategy.

Deliverables

Stack

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