Couples counseling at Legalweek 2026: Firms and clients confront the AI value divide

· Source: Thomson Reuters Institute · Field: Legal & Regulatory — Legal Technology (LegalTech), Artificial Intelligence & Machine Learning, Legal Practice Management · Depth: Intermediate, medium

Summary

At Legalweek 2026, a significant "AI value divide" has emerged between law firms and their clients regarding generative AI (GenAI) adoption and cost savings. Clients, now more informed and demanding, expect firms to demonstrate measurable cost reductions from GenAI use on specific matters, moving beyond mere curiosity to accountability. However, many law firms struggle to provide hard data on ROI, often still in the "anecdotal phase" of measurement. This creates a paradox where clients demand AI adoption while simultaneously refusing to pay for AI-assisted work or requesting granular billing transparency to negotiate lower costs. This tension is exacerbated by increasing law firm rates, averaging over 7% growth in 2025 and 2026, and the fact that only 22% of firms have a coherent GenAI strategy.

Key takeaway

For legal professionals and law firm executives navigating GenAI adoption, you must proactively define and communicate the measurable value of AI to your clients. Waiting for clients to set terms or relying on anecdotal evidence will deepen the existing "AI value divide." Develop a clear GenAI strategy and be prepared to demonstrate concrete cost savings to maintain client trust and competitive advantage in a rapidly evolving legal landscape.

Key insights

The legal industry faces a growing "AI value divide" between client expectations and law firm's ability to demonstrate GenAI ROI.

Principles

Method

Law firms must proactively lead conversations with clients about AI ROI and value sharing, rather than waiting for clients to dictate terms. This involves moving beyond anecdotal evidence to data-driven proof of savings.

In practice

Topics

Best for: Executive, Entrepreneur, Legal Professional, CTO, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Thomson Reuters Institute.