// Case studies
RAG workflow for legal due-diligence document review
LLM extraction with citation anchors, 200-page datarooms triaged in hours, not days, with human sign-off gates.
By Simplileap · Published December 18, 2025 · 10 min read
A corporate law boutique supporting M&A, 15 associates, high volume of PDF datarooms, needed faster first-pass review without compromising privilege or accuracy hallucinations could destroy.
Simplileap built a private RAG pipeline: documents ingested to Azure Blob; chunking with layout-aware parser; embeddings in pgvector; GPT-4o retrieval with mandatory citation spans; LangSmith trace logging.
Governance: no training on client data; per-matter workspace isolation; associate must click confirm per extracted clause; export audit PDF for file.
Problems: scanned PDFs OCR quality poor, human flag queue; Tamil and Hindi exhibits required multilingual embedding model swap; cost caps per matter with token budgeting.
Outcome: median first-pass review time 11 hours → 3.5 hours on 200-page sets; partners reported zero unverified citations accepted in pilot. Firm anonymized, corporate law practice.
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