Legal AI vendors are updating the models powering their tools with a frequency and opacity that creates measurable operational risk for law firms and legal departments. Our research — drawing on interviews with 30 legal operations directors and IT leads, contract review across 50 vendor...
Research
Page 3 / 8In-depth analysis for legal professionals navigating technology adoption.
Methodology: Survey of 412 legal professionals conducted October–December 2025, spanning 38 BigLaw firms, 61 mid-market firms (100–500 attorneys), and 47 in-house legal departments. Compensation data supplemented by lateral hire placement records from Major, Lindsey & Africa; Lateral Link; and Macrae, covering 2,100+ placements from 2024–2025....
Two years after generative AI tools became standard infrastructure at major law firms, the supervision frameworks governing their use remain dangerously uneven. This briefing synthesizes findings from a survey of 214 law firms and corporate legal departments conducted between January and April 2026, revealing that...
Methodology: 200-respondent practitioner survey, April–May 2026. Respondents drawn from law firms (n=112) and in-house legal departments (n=88), segmented by organization size, tool category, and deployment model. Failure defined as project abandonment, reduction to pilot-only scope, or failure to achieve ≥50% of stated ROI targets within...
The Legal Stack Research Briefing | Legal Ops / CLM Series
Eighteen months after generative AI moved from pilot curiosity to operational infrastructure inside legal organizations, the governance frameworks meant to contain and direct that infrastructure remain, for most organizations, aspirational documents rather than functioning systems. The Legal Stack's 2026 Legal AI Governance Maturity Index —...