AI Due Diligence Extraction Agent

Automating M&A Document Extraction with AI
The agent ingests thousands of files from virtual data rooms like Intralinks or Datasite, handling OCR for low-quality scans, de-duplicating versions, and auto-classifying documents by type and workstream—contracts, financials, HR, compliance—so nothing gets missed under tight deal timelines.
Extract Structured Terms, KPIs, and Red Flags at Scale
AI-powered extraction pulls contract clauses (termination, change-of-control, assignment, liability caps), financial metrics (revenue by cohort, churn, margins), and compliance data into normalized term sheets and datasets, then scores deviations against your diligence playbook to surface material risks.
Generate Cited, Audit-Ready Deliverables Fast
Every extracted fact links back to its source page, section, or cell—producing defensible risk registers, consent schedules, IC memo drafts, and model-ready exports (CSV, Excel, Parquet) that hold up to board scrutiny and external counsel review.
How Cassidy automates and ingests documents using AI
Step 1: Connect to the VDR and ingest documents
The Workflow triggers when your deal team initiates diligence, connecting to the seller's virtual data room with read-only credentials. Cassidy bulk-ingests all files and metadata, applies OCR to scans, normalizes filenames and dates, and de-duplicates versions to create a clean, searchable corpus.
Step 2: Classify and index by workstream
Cassidy auto-classifies every document—contracts, financial statements, HR agreements, SOC reports, litigation files—and maps them to your diligence checklist. This intelligent index ensures full coverage across legal, financial, tax, IT, and commercial workstreams.
Step 3: Build a retrieval-grounded Knowledge Base
Documents are chunked with clause-aware and table-aware parsing, then embedded into Cassidy's Knowledge Base. Every query and extraction is grounded in retrieved source text, with citations linking to exact page and cell coordinates.
Step 4: Extract structured terms and KPIs
Cassidy pulls contract clauses (renewal, termination, change-of-control, assignment, liability caps, IP ownership) and financial data (revenue by customer, churn, margins, AR aging, debt schedules) into normalized term sheets and datasets ready for modeling.
Step 5: Score against your playbook and flag risks
Extracted terms are compared to your buyer's diligence rubric. Cassidy tags clauses green, yellow, or red based on deviation and materiality, runs cross-document reconciliation (CIM vs. contracts vs. ledgers), and generates a prioritized risk register with severity, rationale, and source citations.
Step 6: Generate cited deliverables
Cassidy produces first-draft IC memo sections, red-flag registers, consent and change-of-control schedules, renewal calendars, and model-ready exports (CSV, Excel, Parquet)—each claim linked to its source for full auditability.
Step 7: Human-in-the-Loop review and iteration
High-severity flags and ambiguous legal language route to your team for sign-off. As the VDR updates, Cassidy detects new or changed documents, re-processes incrementally, and maintains versioned outputs so your diligence stays current through close.
Implement it inside your company
- Hands-on onboarding and support
- Self-paced training for your team
- Dedicated implementation experts
- Ongoing use case discovery
- ROI tracking & analytics dashboards
- Proven playbooks to get started fast


