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AI Trial Advocacy: Your Guide to Handling the Evidentiary Implications of Artificial Intelligence

by Ontario Bar Association

The Ontario Bar Association (OBA) presents "AI Trial Advocacy: Your Guide to Handling the Evidentiary Implications of Artificial Intelligence," a comprehensive two-day program designed to equip litigators with the necessary skills to navigate the complexities of AI-related evidence in legal proceedings. This event is scheduled for November 1 and November 29, 2024, at the OBA Conference Centre in Toronto.

Participants will engage in in-depth sessions covering critical topics such as AI-generated evidence, expert reliance on AI in formulating opinions, and strategies for unpacking and challenging underlying AI technologies. The program features demonstrations and debriefs led by esteemed faculty, including AI leaders, members of the judiciary, and experienced litigators, providing valuable insights into the questions to ask and approaches to consider when handling AI in litigation.

Attendees will benefit from networking opportunities with peers and experts in the field, fostering professional connections and discussions on the evolving role of AI in the legal landscape. Notable speakers include The Honourable Peter Lauwers of the Court of Appeal for Ontario and Professor Maura R. Grossman from the University of Waterloo and Osgoode Hall Law School, among others.

This program is ideal for litigators seeking to stay ahead in the rapidly evolving field of AI in law. By participating, attendees will gain the knowledge and tools necessary to effectively address AI-related evidentiary issues, ensuring they are well-prepared to tackle future litigation challenges in this new era.

Speakers(17)

Aaron Wenner

Non-Party (AI Product Representative) at Jurisage Group

Non-Party (AI Product Representative) in the demonstration of Examination for Discovery of a Non-Party.

Brent Arnold

Counsel for the Plaintiff at Gowling WLG

Counsel for the Plaintiff in the demonstration of Motion Seeking Examination for Discovery of a Non-Party.

Darcy Romaine

Counsel for the Defendant at Boland Romaine LLP

Counsel for the Defendant in the demonstration of Pre-Trial Conference.

Jennifer Leitch

Executive Director at National Self-Represented Litigants Project

Executive Director at the National Self-Represented Litigants Project, discussing unique challenges in dealing with self-represented parties and AI.

Katherine Di Tomaso

Counsel at Stieber Berlach LLP

Counsel at Stieber Berlach LLP, discussing unique challenges in dealing with self-represented parties and AI.

Kathryn Manning

Counsel for the Plaintiff at DMG Advocates LLP

Counsel for the Plaintiff in the demonstration of Pre-Trial Conference.

Matthew Maslow

Director – eDiscovery Innovation Leader at Deloitte

Defendant in the demonstration of Examination for Discovery of the Defendant.

Paul-Erik Veel

Counsel for the Plaintiff at Lenczner Slaght

Counsel for the Plaintiff in the demonstration of Examination for Discovery of a Non-Party.

Professor Maura R. Grossman

Professor at University of Waterloo and Osgoode Hall Law School

Professor at the University of Waterloo and Osgoode Hall Law School, introducing the fact scenario.

Professor Suzanne Chiodo

Professor at Osgoode Hall Law School

Professor at Osgoode Hall Law School, discussing how AI implicates key evidence principles.

Event Details

Date
November 29, 2024
Location
🇨🇦 Toronto, Canada
OBA Conference Centre
Pricing
Varies by tier
Audience
Litigators, legal professionals, and members of the judiciary interested in understanding and managing AI-related evidentiary issues in legal proceedings.
CLE Credits
This program is eligible for up to 1 Professionalism Hour and up to 11 Substantive Hours. The OBA has been approved as an Accredited Provider of Professionalism Content by The Law Society of Ontario.

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