Legal AI Insights
Expert guides, best practices, and thought leadership for transactional attorneys. 1,321 articles covering every practice area.
Featured Articles
Everything You Need to Know About Prompting AI You Learned in Law School
The most effective AI prompting techniques, specificity, structured frameworks, strategic context, targeted follow-up, are skills every lawyer learned in law school. Research proves it.
Technology M&A Due Diligence: Software Licenses, IP Chains, and Data Privacy
A practical guide to technology M&A due diligence for deal attorneys. Covers software license review, SaaS agreement analysis, IP assignment chain verification, open source compliance, and data privacy assessment.
What 300 NDAs Taught Me About Change of Control Clauses
After analyzing change of control provisions across 300 NDAs for M&A transactions, clear patterns emerge. Five categories of COC provisions, each with different implications for deal execution and post-closing risk.
Anti-Assignment Clauses in M&A: What Every Deal Attorney Should Know
Anti-assignment clauses can derail acquisitions when they go undetected in a data room. This guide covers the types of anti-assignment provisions, how they interact with change of control transactions, and what deal teams should flag during diligence.
How to Evaluate Legal AI Tools for M&A: A 5-Axis Framework
Not all legal AI tools solve the same problem. Here is a framework for evaluating them across the five dimensions that actually matter for M&A deal teams: accuracy, speed, security, setup cost, and output quality.
LLM Hallucination in Contract Analysis: Why Source Verification Is Non-Negotiable
Large language models hallucinate. In legal contract analysis, a single fabricated clause citation can derail a deal. Here is how hallucination manifests in legal AI, why it happens, and how to build systems that prevent it.