FT: In-House Legal Teams Get Creative with AI — Nearly Two-Thirds Expect to Rely Less on Outside Counsel

The Financial Times (July 30) reported on in-house legal teams' accelerating AI deployments, drawing on ACC and Everlaw's October 2025 survey finding that AI adoption rates for in-house lawyers more than doubled in a year, with almost two-thirds of teams expecting to rely less on outside counsel as they strengthen AI capabilities. In-house teams are increasingly using AI for contract review, first-pass research, policy drafting, and matter triage — the four categories that have historically represented the routine outside counsel work most susceptible to insourcing. GC AI's December 2025 ROI study found in-house teams using AI reduce outside counsel spend by an average of 14% — approximately $252K per year at the ACC median $1.8M outside counsel budget. Conventus Law (July 30) made a critical distinction: AI efficiency is a reduction in the time a task takes; AI cost savings is a reduction in what a legal department actually pays. Reclaimed hours only turn into real cost reductions when the team deliberately re-routes that capacity to handle work that used to go outside. The transition from capacity savings to cash savings typically takes until year two of an AI rollout. For law firm client relationship leads: the year-two cash savings recognition is the commercial timeline that matters — the pipeline of client AI deployments maturing into outside counsel budget reductions is a 2026–2027 event, not a 2025 concern.