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CapitalFamily office (anonymized)
RAG over 11,500 pages of litigation exhibits
- Semantic search + metadata filters across the exhibit corpus
- Cited-answer Q&A grounded in source documents
- Timeline and cross-reference tooling
745
exhibits indexed
11,500+
pages searchable
Cited
answers, every time
The situation
A litigation matter involved hundreds of exhibits totaling over 11,500 pages. Finding the relevant document, or building a timeline, meant manual review at a scale that doesn't fit a deadline.
What we built
We built a retrieval system combining semantic vector search with metadata filters over the full exhibit corpus, plus cited-answer Q&A that always grounds responses in source pages.
Key capabilities
- Semantic + metadata search across 745 exhibits
- Cited Q&A grounded in source documents
- Timeline and cross-reference tooling
- Party-aware document classification
Results
- Relevant exhibits surfaced in seconds
- Every answer traceable to a source page
- Review at deadline speed
Challenge
- 11,500+ pages, hundreds of exhibits
- Manual review doesn't scale to deadlines
- Answers must be source-grounded
Solution
- Hybrid semantic + metadata retrieval
- Cited Q&A over the corpus
- Timeline + cross-reference tools