AI in Civil Law & Litigation

• Format: Live Webinar
• Program date: Session June 12, 2026. 1:00 PM EST

• The Hon. Justice Rick Libman, Ph.D. (Osgoode) of the Ontario Court of Justice

 AI in Substantive Law Practice- Mod 3: Course 3.3 (AI in Civil Law & Litigation) - Registration for Standalone Credits

Description

Modern litigation is defined by the volume of data. This course focuses on scaling your civil practice through automated discovery and predictive analytics.

• Key Learning Outcomes:

  • Technology Assisted Review (TAR): Implementing e-Discovery workflows that satisfy judicial expectations for production.

  • Predictive Analytics: Using data tools to forecast judicial leanings, settlement ranges, and litigation risks.

  • Liability Frameworks: Who is at fault when AI fails? Exploring tort and contract liability for AI errors in a civil context.

Registration Details & Format

Admission Requirement: Registrants must be licensed legal practitioners in good standing (Canada or International).

Learning Formats:

• Online: 24/7 On-Demand Video 

• Online: Live Interactive Sessions 

Registration Instructions

Upon successful payment, an automated email will be sent within 5 minutes. Registrants must check their email account, including the spam/junk folder, for further access instructions.

Professional Declaration & Terms

• Privacy & Data Policy: Registrants agree that they will not use real, sensitive, or identifiable client data during any AI tool demonstrations or practical labs if applicable. 

• Attendance Verification: Registrants understand that for "Audit-Proof" certification, attendance (live) or watch-time (on-demand) will be tracked, and if applicable Registrants may participate in a brief knowledge assessment at the end of each module.

• Refund Policy: Registrants acknowledge that module fees are non-refundable once digital course materials or videos have been accessed.

• Privacy Policy
• Support Policy

• How to pay Tuition Fees and Dues