
Legal · RAG System
Case Law Research Assistant for Mid-Market Law Firm
Hybrid RAG with citations: research time per matter from 4–6 hours down to ~45–90 minutes.
The Problem
Associates were spending 4-6 hours per matter researching relevant case law, precedents, and contract clauses across a large internal archive.
The Solution
A RAG system with hybrid search (vector + BM25), cross-encoder re-ranking, and source attribution, returning top precedents with citations in minutes, not hours.
What we would do differently
Version the citation index from the first ingest. Re-indexing after a source update broke links in saved research memos and cost a weekend.
Business Impact
Associates reclaim research hours for strategy and drafting. Payback is usually measured in months once matter volume is stable.
On-premise RAG for legal & regulated dataTech Stack
More case studies
View allCrypto / FinTech
Durable AI Ops Layer on Multi-Venue Exchanges
Desk copilots that turn natural-language intent into HITL-approved exchange orders (Vercel AI SDK, Temporal, and MCP) without YOLO trading bots.
Banking / FinTech
Conversational Rules Engine for Crypto↔Fiat Banking
Users set salary-day and balance rules in chat; Temporal workflows execute convert → transfer recipes with confirm cards and zero double-pays on webhook retries.
Banking
Durable AI Ops Layer for Mid-Market Banking
KYC exceptions and payment repairs on Temporal + Vercel AI SDK + MCP: maker-checker Signals, PII redaction, zero double-posts on core retries.