AI Due Diligence Automation Analyst

Breva AI

Remote · $100k – $130k / year · Full-time · Posted 5 months ago

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About the role

M&A due diligence requires reviewing thousands of contracts, financial statements, and regulatory filings under extreme time pressure. A typical deal room contains 10,000 documents that a legal team has 3 weeks to review. Our AI pre-screens documents, extracts key risk factors, and flags issues that need human attention — reducing review time by 65%. You'll build the extraction and risk identification pipeline: classifying documents by type, extracting material terms from contracts and financial disclosures, comparing extracted terms against deal-specific risk criteria, and generating the summary reports that deal teams review instead of reading every document. Due diligence is high-stakes NLP. A missed liability clause can cost the acquirer millions. A false alarm wastes expensive attorney time during a compressed timeline. You'll calibrate the system to be thorough without being noisy — and every extraction must trace back to its source document and page number.

Fully remote.

Responsibilities

Build document classification and material term extraction for deal room review
Design risk identification pipelines comparing terms against deal-specific criteria
Generate summary reports with source-traced findings for deal team review
Calibrate extraction sensitivity balancing thoroughness with attorney time efficiency
Handle diverse document formats across contracts, financials, and regulatory filings

Requirements

3+ years in NLP with document extraction or legal technology experience
Hands-on LangChain and RAG experience for information extraction
Strong Python skills with FastAPI for pipeline development
Understanding of legal document structures and M&A terminology
Experience building systems where extraction accuracy has financial consequences