Location & Start Date
Online
Live SessionsWhen & Where
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.
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.
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.
Day 4
AI and the Law – Part 1
The final two days focus on AI as it relates to societal, ethical and legal issues.
Day 5
AI and the Law – Part 2
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
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)
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
Lilith Bat-Leah
Director of Data Science and AI Strategy at Driven, Inc.
Joseph Borstein
CEO and Co-Founder of LexFusion
John Brockland
Partner and Global Head – Technology Sector, Hogan Lovells
Wei Chen
General Counsel of Infoblox; Founder of The Atticus Project
Charina Chou
Global Policy Lead for Emerging Technologies at Google
Eric Crawley
Vice President and Managing Director, Global Advanced Solutions at Epiq
Jim Dempsey
Lecturer at UC Berkeley Law School and Senior Policy Advisor at Stanford Cyber Policy Center
Lothar Determann
Partner, Baker & McKenzie LLP
Dan Hendrycks
UC Berkeley Computer Science PhD student
Anthony Jules
Co-founder and COO at Robust.AI
Molly Kocialski
Regional Director at the US Patent and Trademark Office
Jason Lohr
Partner in Intellectual Property, Media, & Technology Group at Hogan Lovells
Jamila Loud
Human Rights and Social Impact Research Lead at Google
Stuart Meyer
Co-Chair, Post-Grant Proceedings and Partner, Intellectual Property at Fenwick
Matthew Miller
Senior Vice President, Information Governance & Data Privacy at HaystackID
Jayant Narayan
Lead – Artificial Intelligence & Machine Learning, Technology Policy at the World Economic Forum
Vadim Nazarov
Co-Founder and CEO at ImmunoMind
Lydia Parnes
Partner, Privacy and Cybersecurity at Wilson Sonsini
Michael Philips
Assistant General Counsel at Microsoft
Anand Rao
Global Artificial Intelligence Lead at PwC
Allison Schmitt
Fellow and Director, Berkeley Center for Law and Technology Life Sciences Project
Wayne Stacy
Executive Director, Berkeley Center For Law & Technology
Matthew Stepka
Managing Partner, Machina Ventures
Matthew Such
Group Director at the US Patent and Trademark Office
Lee J. Tiedrich
Partner and co-chair of the firm’s Artificial Intelligence Initiative, Covington & Burling LLP
Lindsey Tonsager
Partner, Covington & Burling LLP
Susan Tull
Counsel at Latham & Watkins
Manuela Veloso
Head, JPMorgan Chase AI Research Professor at Carnegie Mellon University
Andrea Wang
Co-Founder and CEO of AHEAD Medicine
Presented By:
