Mid-size Law Firm · Legal · Litigation
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
97%
citation accuracy across reviewed outputs
0
fabricated citations across 4 months in production
Legal · Litigation
Mid-size Law Firm
Client
Mid-size Law Firm
Legal · Litigation
Headline metric
−68%
average research time per matter
Deliverables
4
shipped to production
Stack
3+ tools
across the build
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.
Research time per matter down 68%, citation accuracy at 97%, and zero fabricated citations across four months of production traffic. The team owned this end-to-end.
Mid-size Law Firm
Legal · Litigation
average research time per matter
citation accuracy across reviewed outputs
fabricated citations across 4 months in production
What we shipped.
- Legal research agent
- Citation verifier
- Review queue
- Audit logging
The tools we used.
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