How is the adoption of AI impacting law firms' talent strategy?

How is AI adoption changing law firms’ talent strategy? Inthis episode of Clarity, Ragunath (Raghu) Ramanathan, President of LegalProfessionals at Thomson Reuters, speaks with Esther Bowers, Chief PracticeInnovation Officer at Honigman, about how AI is influencing lawyer development,recruitment, training, and day-to-day legal work. Bowers explains that the firmhas taken a deliberate, enterprise-wide approach to AI adoption, carefullyevaluating client expectations, ethics, security, risk, and practice-specificuse cases before rolling out tools across the organization. While adoptionvaries by practice area, AI is becoming increasingly embedded in legalworkflows, helping lawyers improve efficiency, enhance research and draftingprocesses, and rethink how legal services are delivered.

A key theme throughout the discussion is that AI is notreducing the need for lawyers but is changing how they work and the skills theyneed to develop. Bowers describes how Honigman is incorporating AI into lawyertraining, summer associate programs, professional development, andknowledge-sharing initiatives. The firm is preparing lawyers to work alongsideAI tools while placing greater emphasis on strategic thinking, business acumen,client relationships, and problem-solving. Looking ahead, she expects AIcapabilities and adoption to continue accelerating, creating new opportunitiesfor firms and clients alike.

3 reasons to listen

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1. Learn how one law firm is approaching AI-driventalent development, including lawyer training, adoption programs, knowledgesharing, and summer associate initiatives.

2. Understand why AI is changing legal work withoutreducing the need for lawyers, shifting the focus toward higher-value skillssuch as strategy, client service, and business understanding.

3. Gain insight into how leading firms are managingAI adoption across different practice groups, balancing innovation, riskmanagement, ethics, and client expectations.

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Learn how leading law firms are adapting talent strategies for an AI-driven future.