Our Take
The governance scramble confirms most firms deployed GenAI without basic controls, creating audit and liability exposure that clients are now forcing them to address.
Why it matters
Courts are questioning AI-assisted legal review while in-house departments issue more demanding AI questionnaires than regulators. Legal practitioners need governance frameworks before facing discovery challenges or client rejections.
Do this week
Legal ops teams: audit your current AI governance across strategy, process, forensics, and client requirements this week so you can identify gaps before June's report publication.
LITI maps four governance gaps hitting law firms
Legal Technology Intelligence (LITI) will publish its third GenAI report in June 2026, focusing on governance challenges facing law firms after two years of rushed AI adoption (per company announcement).
The report identifies four governance layers firms must address: strategic governance around AI adoption without clear problem definitions, process governance for auditable and deterministic workflow integration, forensic governance to defend AI-assisted review in court proceedings, and client-driven governance responding to demanding AI questionnaires from in-house legal departments.
Lead analyst Neil Cameron, who authored LITI's 2024 and 2025 GenAI reports, will write the June publication. The report aims to define standards for AI implementation across these governance domains.
Courts and clients force governance reckoning
The timing reflects mounting pressure from two directions. Courts are beginning to scrutinize how AI-assisted legal review can be defended in proceedings, creating potential discovery and malpractice exposure for firms without clear validation processes.
Simultaneously, corporate legal departments are issuing AI questionnaires that exceed regulatory requirements from bodies like the Solicitors Regulation Authority (SRA). This client-driven governance creates a competitive filter where firms without adequate controls risk losing business.
The shift from adoption to governance signals the legal industry's recognition that deploying AI without proper oversight creates more risk than value. Firms that moved quickly on implementation now face the harder challenge of retrofitting accountability measures.
Audit current controls before standards emerge
Legal operations teams should conduct immediate governance audits across the four identified layers. Most firms lack strategic frameworks connecting AI tools to specific business problems, creating inefficient tool proliferation.
Process documentation becomes critical as courts expect firms to explain how AI outputs are validated and integrated into legal work product. Firms should establish clear audit trails for AI-assisted tasks before facing discovery requests.
Client questionnaires offer early signals of emerging standards. Legal teams should review recent client AI requirements to identify common governance expectations and benchmark their current capabilities against these evolving demands.