Leasey
Industry

Legal

RAG and document intelligence for legal research, contract review, and matter intelligence — with citations down to the clause.

Evidence-grade retrieval over long documents

Legal AI fails on two axes: hallucinated case law and retrievals that return paragraph 14 when the answer is in paragraph 93. We build layout-aware ingestion, hybrid retrieval with reranking, and claim-level faithfulness evals so every citation is defensible.

Compliance posture

  • Privilege-aware access
  • Audit logging
  • Private endpoints
  • Data residency

Use cases we see.

  • Case and statute research with citation-grounded answers
  • Contract review: clause extraction, redlining prep, risk flags
  • Matter intelligence over deposition transcripts and exhibits
  • Discovery review with permission-aware retrieval
  • Policy and regulatory Q&A

In production.

Financial Services

Compliance knowledge assistant over regulated documents

Hybrid-retrieval RAG assistant for compliance and legal teams to search policy, contracts, and regulatory filings — with citations every analyst can trust.

4.2×
retrieval hit rate vs naive baseline
<3%
hallucination rate on eval set
Minutes
not hours, to find the right clause

Stack we use here.

OpenAI
Anthropic
pgvector
Cohere Rerank
LlamaParse
Langfuse

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Let’s ship your AI system.

Whether you’re scoping a new LLM product, hardening an existing one, or standing up the infra behind it — we’ll map the shortest path to production.

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