Research briefings
Original, data-driven reports on how the legal industry is adopting — and governing — AI. Reader-funded and conflict-free.
10 min
This briefing synthesizes findings from a structured survey of 150 third-through-fifth-year transactional associates across 20 AmLaw 200 firms, conducted between October and December 2025, with follow-up interviews completed in January 2026. Participating firms included representation from the M&A, private equity, technology transactions, and commercial real...
10 min
A measurable and largely unacknowledged asymmetry has taken root in how corporate legal departments evaluate AI-assisted work product. When an associate general counsel reviews a contract summary produced by her own team using Harvey or Microsoft Copilot, she applies a materially different standard of scrutiny...
10 min
The legal AI insurance market has reached an inflection point. After two years of watching quietly while law firms and legal departments deployed generative AI tools at scale, major professional liability carriers entered Q3 2026 with materially revised underwriting questionnaires, new exclusion language embedded in...
10 min
A structural accountability problem is quietly reshaping legal AI procurement. Law firms and corporate legal departments are deploying large language model-based tools at scale — for contract analysis, legal research, due diligence, brief drafting, and litigation support — while operating under a fundamental information asymmetry:...
10 min
Energy and infrastructure legal teams sit at the intersection of the most document-intensive, jurisdiction-fragmented, and technically specialized practice areas in corporate law. Project finance counsel managing utility-scale solar transactions routinely process interconnection agreements, power purchase agreements, environmental impact statements, and state utility commission orders simultaneously...
10 min
Based on structured survey of 157 law firms and legal departments, supplemented by 23 vendor interviews and review of 41 published AI governance policies