Legal
Document search for a legal practice
- 80,000
- documents indexed
- hours → seconds
- to find a clause
- 100%
- answers cite their source
Problem
Matter files lived as tens of thousands of PDFs in folders. Finding a clause meant hours of reading, and juniors spent billable time on search.
Approach
- 01Ingestion pipeline with OCR and document classification for the full archive
- 02Semantic and keyword search over clause-level passages with matter-level access control
- 03Clause and precedent extraction that cites the source document
Outcome
Research that took hours now returns sourced passages in seconds. Associate time shifted from searching to drafting.
(Illustrative case; replace with a real engagement.)
Built with
- Azure AI Search
- OpenAI embeddings
- Python
- React
- Entra ID
Bring us the problem.
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- projects delivered
- 50+
- clients served
- 10+
- engineers
- 3+
- years in operation