Skip to content

AI Masterclass | Trust + Truth in Legal AI – Ethics, Risk, and Responsibility

October 8

12:00 to 1:00 PM ET

Free to attend
This program is under consideration for CLE/CPD accreditation for the following jurisdictions:

CANADA CPD ACCREDITATION

  • Law Society of BC: This program is under consideration for for 1.00 hour of CPD
  • Law Society of Ontario: This event is under consideration for 60 minutes of CPD

US CLE ACCREDITATION

  • The Florida Bar: Under consideration for CLE credits
  • The State Bar of Texas: This program is under consideration for 1:00 hour of CLE
  • North Carolina State Bar: Under consideration for 1.00 CLE hour
  • Georgia Commission on Continuing Lawyer Competency: Under consideration for 1.00 CLE hour
  • MCLE Board of the Supreme Court of Illinois: Under consideration for 1.00 CLE hour
  • NY (under consideration through NY-approved jurisdiction: North Carolina)

In Association With

OVERVIEW

As AI tools become embedded in legal workflows, the stakes for ethical use, risk management, and client trust have never been higher. This session will explore how legal teams can embrace the benefits of AI while upholding and protecting professional responsibilities. Attendees will gain strategies for managing confidential client data, navigating regulatory requirements, and building internal governance structures that safeguard truth and trust in an AI-driven legal practice.

themes + agenda

Key themes

  • Client Trust + Confidentiality: How to protect attorney–client privilege in AI-enabled workflows.
  • Regulation + Compliance: Interpreting ABA guidance and emerging state/jurisdictional rules on AI.
  • AI in Legal Judgment: Defining the boundary between machine output and human responsibility.
  • Governance & Accountability: Building policies, training, and audit trails for responsible AI use.

agenda

Speaker introductions + context: Why ethics and trust matter most in AI adoption.

Panel discussion: Navigating risk in legal AI

  • Handling Confidential
  • Client Data
  • AI Regulation and Compliance
  • AI in Legal Decision-Making

Practical takeaways: Building governance frameworks

  • Internal AI policies and approvals
  • Training programs for legal teams
  • Audit trails for compliance and risk management
  • Sample governance frameworks

Future proofing: What’s next in AI regulation + responsibility

Conclusion

IN ASSOCIATION WITH
Thomson Reuters - Logo
Let's keep in touch.

Be the first to know about events in your city and exclusive virtual events.

Full Name

We respect your privacy.