Legal AI is moving fast enough to make even the most switched-on lawyers feel behind - especially if you have been away from practice, or you are the only in-house counsel expected to "figure it out."

We sit down with Claire Thorndyke, sole in-house counsel at Quiet Council, to talk through what it really looks like to get up to speed in a practical, defensible way - without pretending every legal team is already running autonomous agents. Claire shares her three-pillar roadmap for adopting generative AI in legal practice -and we dig into real privacy programme use cases, from data processing agreement review and data mapping to subject rights requests, redaction, extraction, and policy development, with a clear focus on risk, supervision, and accountability.

Claire also shares how she ran a live tool trial, how she categorised the legal AI market between research copilots and contract review tools, and what criteria mattered most: accuracy, usability, data safety, time saved, and ROI. We close with practical advice on vendor diligence, avoiding lock-in as models keep evolving, and building relationships with your internal technology partners.

Press play to find out where to start, what to avoid, and how to build an AI strategy that actually works for your practice.