Survey Methodology: 200 legal operations and IT leaders at law firms with 50+ attorneys and corporate legal departments with 10+ in-house lawyers, fielded March–April 2026. Respondents drawn from AmLaw 200 firms (n=84), regional and boutique firms with 50–250 attorneys (n=61), and Fortune 1000 in-house legal...
Research
Page 1 / 8In-depth analysis for legal professionals navigating technology adoption.
Across the Am Law 200 and large regional firms, AI-assisted work product has moved from novelty to operational baseline in under three years. What has not kept pace is the governance architecture around partner supervision of that work. This briefing synthesizes survey data, publicly available...
Vendor lock-in has always been a feature of enterprise software procurement. What is different about legal AI is the speed at which dependency compounds, the opacity of data architecture, and the near-total absence of institutional exit planning. Based on practitioner interviews conducted between January and...
A Research Briefing | The Legal Stack | AI Governance & Data Privacy
Thirty-one state bars have now issued some form of AI-related ethics guidance, up from nineteen at the close of 2024. Eight of those thirty-one bars have issued formal ethics opinions carrying binding or near-binding precedential weight. The remainder have produced informal guidance, FAQs, or standing...
Legal AI procurement has matured considerably since 2023, but the transparency infrastructure supporting it has not kept pace. A systematic review of publicly available documentation, terms of service, and marketing materials for the 15 most widely deployed legal AI platforms as of Q2 2026 —...