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  4. AI Governance for Regional Legal Teams
Legal Operations KPIs Singapore (APAC Hub) chapter

AI Governance for Regional Legal Teams

From pilots to policy, training, and measurable outcomes

AI governance becomes more difficult once experimentation turns into real legal work. The challenge is not only setting policies, but deciding what acceptable AI-assisted output looks like, where failures can occur, and how human accountability should work in practice.

Alok Priyadarshi, VP, Strategic AI Advisory and Legal Transformation at QuisLex, brings nearly two decades of experience across legal technology, operations, and AI transformation, including leadership roles at Novartis and EY. He will share how legal teams can define adequacy standards, identify and classify AI failure modes, build controls before execution, and train professionals to interrogate AI outputs rather than simply use the tools.

Attendees will leave with a practical framework for moving from isolated AI pilots toward a more consistent and governable model for AI-assisted legal work.

Takeaways

• Understand why an Institutional Capability Assessment should come before governance design.
• Define adequacy standards and checkpoints based on matter type, risk, and expected quality.
• Identify AI failure modes that output verification alone may not reliably catch.
• Design governance and controls before execution, rather than relying only on final review.
• Place human judgment at the right points in the workflow, from intake through execution and final review.
• Train legal professionals to interrogate AI outputs and maintain accountability.
Alok Priyadarshi Alok Priyadarshi VP - Strategic AI Advisory and Legal Transformation QuisLex
Fecha Wednesday, September 16, 2026
Time 4:00 PM – 5:30 PM GMT+8
Location Remote
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