// AI·2025
OFICINA AI
RAG assistant for a firm sitting on 1.2M documents.
ClientInternal · LegalTech client
Year2025
CategoryAI
Duration20 semanas / 20 weeks
RoleML engineering, full-stack, evaluation
// Context
A 240-attorney law firm wanted a copilot that answers with verifiable citations from their internal case-law corpus.
// Challenge
Guarantee citation accuracy with no hallucinations, per-matter authorization and < 4s latency on answers spanning 8+ relevant docs.
// Approach
Ingest pipeline with OCR, embeddings on pgvector, hybrid BM25 + dense retriever, generation with Claude, and automated eval on LangSmith. UI with inline citation verification.
// Stack
- Claude API
- LangChain
- pgvector
- Postgres
- Tesseract
- Next.js
// Results
0sp95 latency
0%citation precision
−0hsaved per attorney/week