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Please add yourself to our Notify Me list so we can inform you when registration opens for the Fall 2022 program.

Introduction

Artificial Intelligence, and especially machine learning, are transforming the way companies and other organizations provide services, develop products, analyze data, and manage internal processes. The legal profession is no exception. From contract analytics, legal research, and expertise automation to litigation review and contract generation, law firms, in-house corporate legal teams, and attorneys working for nonprofit organizations and government agencies are increasingly using AI to enhance their own workflows and deliver client services.

Join us and earn MCLE credit and a Certificate of Completion from UC Berkeley!

Location & Start Date

Online

Live Sessions

When & Where

Fall 2022

Program Benefits

  • Gain a foundational understanding of AI and its near and long-term applications;
  • Learn how to advise clients on the development, acquisition, and use of AI tools and datasets;
  • Become familiar with the tools that lawyers use in their practices and have an ethical obligation to understand;
  • Discover what can go wrong with AI systems;
  • Explore how AI technology intersects with the law, ethics, and policy; and Earn MCLE credit and a certificate of completion.

Program Structure

This interactive online program is designed to maximize opportunities for learning, discussion, and networking.

  • Each half-day of programming is comprised of three sessions, which will begin at 8:30 AM and end around 12:30 PM Pacific Time.
  • Each session will consist of a 50-minute presentation followed by a 20-minute breakout discussion with the speaker or panelists.
  • Breaks are scheduled between each session.

Post Program Webinars

The learning doesn’t stop when the program ends on November 10th. Participants of the Berkeley Law AI Institute will be invited to attend three, specially curated webinars that will take place on a quarterly basis beginning in early 2022.

  • Topics: Timely discussions related to AI and the law (exact topics to be determined)
  • Format: Webinars with Q&A Schedule: Approximately every three months starting in early 2022 (exact dates to be determined)
  • Duration: 60-90 minutes
  • Additional Cost: None! These optional webinars are open to all Berkeley Law AI Institute participants

Course Design (2021)

Day 1

Understanding AI

The first day introduces the subject of Artificial Intelligence and explores the topic from a number of perspectives.

Session 1 Introduction to AI
Session 2 Mechanics of Machine Learning
Session 3 Machine Learning Demo

Day 2

AI Applications

The second day explores the vast and growing AI ecosystem, the technology’s disruptive capabilities, how to evaluate AI opportunities, and how to leverage AI to better serve clients/customers and build competitive advantage.

Session 1 AI Applications in the Legal Profession and Beyond
Session 2 AI and the Contract Review Process | A Case Study
Session 3 Promises and Challenges of AI

Day 3

AI Strategy / Implementation in the Legal Profession

Day three focuses on how law firms, in-house legal teams, and other organizations are implementing machine learning and artificial intelligence in their business and service offering.

Session 1 Data Governance –Approaches for AI and Beyond
Session 2 USPTO’s AI System – Development, Rollout, and Operation
Session 3 Data Discovery Technologies: AI Support and Dangers

Day 4

AI and the Law – Part 1

The final two days focus on AI as it relates to societal, ethical and legal issues.

Session 1 What can go wrong?
Session 2 Data Acquisition and Use in AI: IP and Other Issues
Session 3 Corporate Transactions and AI

Day 5

AI and the Law – Part 2

Session 1 Privacy and Data Protection in AI Datasets
Session 2 AI, Life Sciences and Health Care
Session 3 AI Technologies in Emerging Companies: What are the Next Issues that Attorneys Will Face?

Post Program Webinars

Participants of the Berkeley Law AI Institute can continue learning about AI and the Law by attending three, invitation-only webinars that will take place in 2022. See the Program Structure description above for more information about this opportunity for continued learning.

Tuition & Discounts

General Tuition

TBD

Group Discount

  • A group discount is available for organizations that register three or more individuals.
  • Cannot combine discounts.

Please email us at executive@law.berkeley.edu for more information.

Course Financing

If you are interested in financing this course, Sallie Mae provides competitive education loan programs for credit qualified borrowers.  For more information and to apply, visit the Sallie Mae website. If you decide to pursue such financing, please submit your application to Sallie Mae first and then contact us at executive@law.berkeley.edu. We will provide additional instructions on completing your registration.

Certificates & MCLE

Certificate Type

Certificate of Completion

Participants will earn a Certificate of Completion from Berkeley Law Executive Education.

MCLE

TBD

The number of MCLE credit hours approved by the California State Bar will be announced.

Speakers (2021 Partial List)

Headshot of Dr. Ryan Abbott

Dr. Ryan Abbott

Prof. of Law and Health Sciences, University of Surrey School of Law; Adjunct Asst. Prof. of Medicine, David Geffen School of Medicine at UCLA

Headshot of Lilith Bat-Leah

Lilith Bat-Leah

Director of Data Science and AI Strategy at Driven, Inc.

Headshot of Joseph Borstein

Joseph Borstein

CEO and Co-Founder of LexFusion

Headshot of John Brockland

John Brockland

Partner and Global Head – Technology Sector, Hogan Lovells

Headshot of Wei Chen

Wei Chen

General Counsel of Infoblox; Founder of The Atticus Project

Headshot of Charina Chou

Charina Chou

Global Policy Lead for Emerging Technologies at Google

Headshot of Eric Crawley

Eric Crawley

Vice President and Managing Director, Global Advanced Solutions at Epiq

Headshot of Jim Dempsey

Jim Dempsey

Lecturer at UC Berkeley Law School and Senior Policy Advisor at Stanford Cyber Policy Center

Headshot of Lothar Determann

Lothar Determann

Partner, Baker & McKenzie LLP

Headshot of Dan Hendrycks

Dan Hendrycks

UC Berkeley Computer Science PhD student

Headshot of Anthony Jules

Anthony Jules

Co-founder and COO at Robust.AI

Headshot of Molly Kocialski

Molly Kocialski

Regional Director at the US Patent and Trademark Office

Headshot of Jason Lohr

Jason Lohr

Partner in Intellectual Property, Media, & Technology Group at Hogan Lovells

Headshot of Jamila Loud

Jamila Loud

Human Rights and Social Impact Research Lead at Google

Headshot of Stuart Meyer

Stuart Meyer

Co-Chair, Post-Grant Proceedings and Partner, Intellectual Property at Fenwick

Headshot of Matthew Miller

Matthew Miller

Senior Vice President, Information Governance & Data Privacy at HaystackID

Headshot of Jayant Narayan

Jayant Narayan

Lead – Artificial Intelligence & Machine Learning, Technology Policy at the World Economic Forum

Headshot of Vadim Nazarov

Vadim Nazarov

Co-Founder and CEO at ImmunoMind

Headshot of Lydia Parnes

Lydia Parnes

Partner, Privacy and Cybersecurity at Wilson Sonsini

Headshot of Michael Philips

Michael Philips

Assistant General Counsel at Microsoft

Headshot of Anand Rao

Anand Rao

Global Artificial Intelligence Lead at PwC

Headshot of Allison Schmitt

Allison Schmitt

Fellow and Director, Berkeley Center for Law and Technology Life Sciences Project

Headshot of Wayne Stacy

Wayne Stacy

Executive Director, Berkeley Center For Law & Technology

Headshot of Matthew Stepka

Matthew Stepka

Managing Partner, Machina Ventures

Headshot of Matthew Such

Matthew Such

Group Director at the US Patent and Trademark Office

Headshot of Lee J. Tiedrich

Lee J. Tiedrich

Partner and co-chair of the firm’s Artificial Intelligence Initiative, Covington & Burling LLP

Headshot of Lindsey Tonsager

Lindsey Tonsager

Partner, Covington & Burling LLP

Headshot of Susan Tull

Susan Tull

Counsel at Latham & Watkins

Headshot of Manuela Veloso

Manuela Veloso

Head, JPMorgan Chase AI Research Professor at Carnegie Mellon University

Headshot of Andrea Wang

Andrea Wang

Co-Founder and CEO of AHEAD Medicine

FAQs

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