AI Governance for Legal Professionals

Managing Risk, Regulation, and Responsible Deployment

Artificial Intelligence is no longer experimental — it’s operational in hiring, compliance, litigation support, and client services. With these opportunities come challenges: bias in hiring algorithms, hallucinations in legal tools, explainability gaps in financial systems, and privacy risks in biometric data. At the same time, state regulations like NYC Local Law 144, California CPRA, and Illinois’ BIPA are reshaping the compliance landscape.

This program equips attorneys and firms with a practical framework for AI governance — blending legal ethics, risk management, and regulatory insight. Participants will learn how to evaluate operational readiness, apply standards such as the NIST AI Risk Management Framework, and implement safeguards for responsible AI adoption.

Duration:

120 minutes (2.0 General CLE/MCLE credits)

Format:

Live Webinar / In-Person

Audience:

Attorneys, Law Firms, Compliance Officers, In-House Counsel, and Legal Educators

Learning Objectives

By the end of this course, participants will be able to:

Spot and mitigate core AI risks including bias, hallucinations, and explainability gaps.
Apply governance frameworks such as the NIST AI RMF and ISO/IEC 42001.
Interpret and respond to key state-level regulations (NYC Local Law 144, CPRA, BIPA, Colorado Privacy Act).
Evaluate organizational readiness using practical governance checklists and clauses.

Session Highlights

Governance Foundations

Key oversight roles and responsibilities.

Risk Spotting

Bias, hallucinations, and model drift in practice.

Regulatory Landscape

Practical implications of new state-level rules.

Operational Readiness

Tools and checklists for implementation.

Governance in Action

Drafting safeguards into legal agreements.

Bonus Resource

Participants will receive a customizable AI Use Case Policy Template, including:

Faculty

Instructor: Harish Bhat, Chief AI Officer, Trellissoft; Adjunct Faculty, Golden Gate University Law School; Author of Demystifying Prompt Engineering: AI Prompts at Your Fingertips.