The Ethics of AI and Machine Learning in Legal Practice

Date / Time

Venue

This is a virtual event, accessible online and over phone. Access instructions will be provided after registration.

Description

This complimentary webinar is produced in connection with the latest Bloomberg Law Special Report.

Large law firms and corporate legal departments increasingly use artificial intelligence and machine learning to assist in litigation, due diligence, and compliance matters. Besides offering higher efficiency and lower costs, legal analytics help inform legal strategy, improve case outcomes, and streamline business operations.

Yet professional judgment is still required to ensure that data is gathered and used in a competent and ethical manner.

Join Bloomberg Law for an informative 60-minute webinar that explores how large law firms and corporate counsel are using AI and legal analytics as part of their litigation practice, the ethical considerations of using AI and machine learning technology, and how to achieve the right blend of automation and human input.

Educational Objectives:

• Understand the scope and use of AI and machine learning in legal practice
• Explore various challenges of analytics and other AI applications
• Learn what ethical obligations are implicated by using AI tools in legal practice
• Gain strategies for ethically using AI on technology platforms

Who would benefit most from attending this program?

Corporate Counsel, Law Firm Partners and Associates, Legal Practitioners

This webinar is made possible with the support of the following sponsors:

    

Presenters

David Kleiman
  • Senior Product Manager, Litigation
  • Bloomberg Law

Christopher Mammen
  • Partner
  • Womble Bond Dickinson

Mindy Rattan
  • Litigation Team Lead, Analysis
  • Bloomberg Law

Arlene Zalayet
  • Senior Vice President and General Attorney
  • Liberty Mutual Group

Continuing Education

Credits:
General COA, 1.0 CLE Ethics
Practice Areas:
Legal
Prerequisite:
Working understanding of artificial intelligence
Level:
Intermediate
Production Date:
04/01/2019