Adapting to AI:
A Practical Approach to Governance

Gain a better understanding of artificial intelligence, specifically how it is being used today, its potential and attendant risks, legislative and regulatory considerations, and how to incorporate AI most responsibly into your practice or business. 

Developed and presented by a practicing attorney and a knowledge management professional, this webinar is designed for attorneys and other professionals who wish to better understand artificial intelligence, specifically how it is being used today, its potential and attendant risks, legislative and regulatory considerations, and how to incorporate AI most responsibly into your practice or business.

The objectives of this course are to help you understand the basics of artificial intelligence and generative AI and their many applications in conducting research, drafting documents, preparing for depositions, and conducting discovery reviews.

Attendees will come away with an understanding of the various risks associated with AI, such as biased and inaccurate outputs, unauthorized disclosures of private data, and intellectual property infringement.

We discuss relevant regulation and governmental guidance, then close with best practices in establishing AI governance teams and processes. 

Speakers

Blair V. Robinson
Blair V. RobinsonAttorney, Formerly with Robinson+Cole
Elizabeth Salsedo-Surovov
Elizabeth Salsedo-Surovov
Director of Knowledge Management
Robinson+Cole
Take it now at the West LegalEdcenter

Learning Objectives

  1. Gain an understanding of artificial intelligence and generative AI. 
  2. Learn about the categories of work in which AI is being applied in the practice of law, e.g., legal research, document drafting, deposition preparation, and discovery review.  
  3. Understand the various risks associated with AI, e.g., biased and inaccurate outputs, unauthorized disclosures of private data, and intellectual property infringement.  
  4. Get an overview of governmental regulation and guidance 
  5. Best practices in establishing AI governance teams and processes with an eye toward complying with regulations and mitigating risk. Â