Our Take
Law firms are finally putting practicing lawyers in charge of AI strategy instead of relegating it to IT departments, recognizing that successful deployment requires deep client knowledge.
Why it matters
Legal AI is moving from experimentation to production deployment, requiring specialized leadership that understands both legal practice and technology implementation. Firms without dedicated AI leadership risk falling behind on client service delivery.
Do this week
Legal ops leaders: audit whether your AI initiatives report to practicing lawyers or IT staff, and push for practitioner-led governance before Q3 budget cycles.
Seven major legal appointments signal AI integration push
K&L Gates created a new global AI and innovation partner role, appointing Jake Bernstein to lead AI strategy, governance, and platform selection. The position consolidates AI responsibility under a practicing partner rather than technology staff.
Bernstein will co-chair the firm's AI Solutions Group alongside partners focused on revenue growth and cybersecurity policy. K&L Gates managing partner Stacy Ackermann noted that "agentic AI is moving from concept to deployment in months, not years" and requires partner-level leadership who understands daily client needs.
The firm earned ISO/IEC 42001:2023 AI management certification in March and deployed Legora across all practices. Their broader AI stack includes Vincent, CoCounsel, and Microsoft 365 Copilot (per company announcement).
Six other appointments followed: Morgan Lewis hired Michael Rinehart as CIO from Dechert, Axinn brought in Rachael Philbin as chief innovation officer from Proskauer Rose, and Eversheds hired Kenzo Tsushima to lead Legal Managed Services for Konexo US.
On the vendor side, Harvey appointed Brooks Evans as CISO from Roblox, LegalEng hired former CLOC president Mary O'Carroll as CEO, and Litera brought in Grant Hewlett as VP of product for firm intelligence from Gradient Legal Consulting.
Practicing lawyers taking control of AI strategy
The K&L Gates appointment represents a structural shift from treating AI as an IT project to embedding it in legal practice. Traditional law firm technology decisions flow through CIOs and administrative staff, but AI workflow integration requires understanding client matter types, billing structures, and risk tolerance.
Bernstein's role combines platform selection with "workflow development and data management," indicating firms are moving beyond pilot programs toward systematic deployment. The concentration of appointments across major firms suggests coordinated preparation for expanded AI use.
The timing aligns with broader legal AI adoption. Multiple firms now run production AI tools for contract review, legal research, and document drafting, but success depends on integration with existing practice workflows rather than standalone deployment.
Governance structure determines AI success
Legal organizations should audit whether AI initiatives report through practicing lawyers or technology departments. Successful AI deployment requires understanding billable hour implications, client confidentiality requirements, and practice-specific workflows that IT staff cannot assess.
The wave of senior appointments indicates firms are preparing for expanded AI integration in Q3 and Q4. Organizations without dedicated AI leadership risk fragmented tool adoption and integration failures.
Tsushima's appointment at Eversheds specifically targets "routine and high-volume legal work" through managed services, suggesting firms are identifying specific use cases for AI deployment rather than general experimentation.