Legal Document RAG & Research Assistant

Challenge

Lawyers were spending hours searching through thousands of documents for relevant precedents and clauses. Manual review was slow and error-prone, with no reliable way to ensure comprehensive coverage.

Our approach

We built a RAG system over the firm's proprietary legal document corpus. The solution uses semantic search with hybrid retrieval combining dense and sparse methods, citation extraction, and answer generation with source attribution. Access controls are enforced per document collection, and the system was deployed on-premises for data sovereignty compliance.