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Law Firms Shift AI Focus from Adoption to Ownership and Governance

Published
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10

Why it matters

Law firm leadership has shifted its focus on artificial intelligence from initial adoption to governance, ownership, and business impact. While AI usage is now widespread across the industry, firms have not established clear operational responsibility or ownership rights over AI-generated outputs—a gap that creates consistency and compliance risks as deployment accelerates. This ambiguity has become the primary barrier to scaling AI effectively.

Jennifer Johnson of Calibrate has argued that ownership and operational responsibility should track the range of functions AI touches within a firm rather than follow a single definition. The American Bar Association's Rule 5.4 currently prohibits non-lawyer ownership of law firms, but experts predict eventual deregulation to permit corporatization as AI capitalizes legal expertise. The UK and Australia have already allowed law firm corporatization, providing a model for how AI could transform labor-driven partnerships into capital-intensive enterprises.

Adoption has doubled since 2025, yet governance programs have failed to keep pace. Firms now face tension between federal deregulation efforts and increasingly strict state-level AI regulations, with no comprehensive federal AI statute in place. General counsel and firm leaders prioritizing cost control and operational efficiency confront an unresolved question: who owns AI outputs and bears accountability for their use. Without cross-functional ownership involving legal, HR, IT, and privacy teams—and without documented review gates before deployment—firms remain exposed to AI-related risks. The industry has moved from asking whether to use AI to how to manage it, with focus shifting to control, accountability, and long-term strategy.

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