The Document Volume Problem in M&A Due Diligence
Why datarooms with 4,000+ documents break traditional review workflows — and what extraction-first approaches change about deal timelines.
Insights
The practice of M&A contract analysis
Provision extraction, deal structure, IP diligence, and the AI shift in corporate legal practice.
Assignment Restrictions: The Provision That Quietly Kills Deals
How buried assignment consent clauses in vendor agreements surface at the worst possible moment — and why automated extraction finds them before your paralegal does.
IP Carve-Outs From the Acquirer's Perspective
What acquirers actually care about when reviewing IP ownership carve-outs: licensed-in software stacks, open-source obligations, and assignment chains.
Earn-Out Mechanics: What You Need to Extract Before You Sign
The earn-out clauses that generate post-close litigation — performance measurement periods, definitional ambiguity, and acceleration triggers buried in schedules.
How We Get a Diligence Memo Done in Hours, Not Weeks
A behind-the-scenes look at LegalVynt's ingestion pipeline: how we process thousands of documents, extract material provisions, and generate a structured memo that deal counsel can actually use.
Why Corporate Counsel Is Finally Ready for AI-Assisted Diligence
The risk threshold for AI in legal workflows has shifted. What changed — and why M&A diligence is the highest-leverage entry point for legal AI in corporate practice.
What Legal Teams Should Require From AI Vendors on Data Security
Data room documents are among the most sensitive in any transaction. A practical checklist for evaluating AI vendors on confidentiality controls, retention policies, and access architecture.