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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.

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
Acceder Members + Guests

Takeaways

• Why effective AI governance starts before execution, not only when reviewing outputs.
• How to define an adequacy standard for AI-assisted work based on matter type, risk, and expected quality.
• How a failure mode taxonomy can help legal teams identify and respond to different categories of AI risk.
• Why AI training should focus on interrogating outputs and maintaining human accountability, rather than simply teaching people how to use tools.
• How to move from isolated AI experimentation toward a more consistent and governable operating model for legal teams.
Limited guest seats are available. Your request will be reviewed by the Chapter Chair.

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AI Governance for Regional Legal Teams
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