Generative AI for the Legal Profession
A Comprehensive Crash Course Designed For All Legal Professionals
A Comprehensive Crash Course Designed For All Legal Professionals
Generative AI for the Legal Profession is a crash course designed for legal professionals who are adapting to the dynamic field of generative AI. The program is thoughtfully crafted to provide attorneys and non-attorney practitioners with essential knowledge of what generative AI is and how it can be responsibly integrated into their legal practice.
Led by Wei Chen, a seasoned general counsel experienced in AI applications, the course offers a pragmatic exploration of generative AI’s role in law, balancing its opportunities and challenges. The curriculum includes interactive exercises in prompt engineering, providing hands-on experience using AI tools while upholding ethical and professional standards. Key topics such as mitigating AI risks, including issues of hallucination and confidentiality, are an integral part of the learning experience.
Generative AI for the Legal Profession is not just about learning foundational AI concepts; it’s about mastering the skills to navigate and shape the future of the legal practice.
No prior AI experience or technical skills are required!
Online
Self-PacedProgram Schedule
Content Access: Participants are provided with a three-week recommended schedule but have access to the course content and platform for one year from the program start date. Participants will also have access to monthly lunch & learn webinars on hot topics in generative AI and a dedicated Slack channel for program participants.
Time Commitment: Participants can complete the required program content in under five hours.
The course is relevant for all legal professionals, but is specifically designed for:
This course is “asynchronous,” meaning that students can work at their own pace. We suggest participants set aside approximately 1-2 hours per week to complete the assigned material. While a syllabus is provided to guide the learning journey, students will have the flexibility to choose where to start based on their knowledge and experience.
Each module consists of a series of 5-10 minute structured videos delivered by the course creator and instructor, Wei Chen, using slides with visual presentations and demonstrating the use of generative AI tools to tackle illustrative use cases. Each use case also contains safety tips to mitigate generative AI risks and ensure compliance with professional responsibility and conduct. Following the videos, participants are asked to complete interactive exercises, allowing them to experiment with different generative AI tools. Also included are interviews with industry experts who share their views on hot topics and best practices for the use of generative AI in the legal profession.
The program also features optional, monthly webinars on hot topics in generative AI. These webinars provide participants with the opportunity to ask questions and bring up topics for discussion. The webinars are also recorded and made available for later viewing on the course platform.
Participants will be invited to join a dedicated Slack channel for the course. This platform will provide participants with the opportunity to share articles and best practices, interact with other participants, and engage with course instructors and contributors.
Below is a list of the course modules. For an overview of the course pedagogy and a more detailed description of each module, please download the Course Syllabus.
Module 1
Module 2
Module 3
Module 4
Module 5
General Tuition (Special Inaugural Pricing)
Registration is open through September 22, 2024
UC Berkeley Alumni & Government, Nonprofit, and University Employees
Applies to past participants of paid Berkeley Law Executive Education courses.
Non-Attorneys
MCLE credit not provided
Group Rates: 10+ participants (30% discount). Note: Group rates are discounted off of the general tuition.
Note: If you qualify for one of the discounted or group rates, please email [email protected] for instructions to access your tuition category. Please note that we do not combine discounts.
Tuition will cover program access for the specified time period.
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 [email protected]. We will provide additional instructions on completing your registration.
If you’ve been thinking about how to apply generative AI into your work in a responsible way, Berkeley Law Executive Education’s Generative AI for the Legal Profession course is the ideal first step. It’s practical, forward-thinking, and can be completed in very little time.
Miles Palley
Director, Dropbox
Wei Chen
Course Creator and Instructor
Wei Chen is the General Counsel of Infoblox, the company uniting networking and security. She has over 20 years of legal experience advising businesses of all sizes on corporate governance, strategic transactions, compliance, commercial contracts, intellectual property, operations and legal innovations. Prior to joining Infoblox, Wei served as the SVP and Associate General Counsel, Strategic Transactions, at Salesforce, Inc. and the Assistant General Counsel at Sun Microsystems.
Wei founded The Atticus Project, a non-profit organization and the curator of CUAD and MAUD, two high-quality, open-sourced, AI training dataset of legal contracts. She is a member of the Advisory Board of the Berkeley Center for Law and Business and a frequent lecturer on the topic of AI innovations. Wei started her legal career at Skadden Arps and Cooley. She is a sub-4-hour marathoner and an active volunteer in her community and local schools.
Nick Abrahams
Contributor
Nick Abrahams has been a partner at international law firm Norton Rose Fulbright for over twenty years, spending the last eight years in global technology and innovation leadership roles. Nick is a LinkedIn Top Voice in Technology and was just named in Engatica’s 2023 list of the World’s Top 200 Business Innovators. He is a Professor at Bond University where he researches high performance in legal services and teaches a successful lawyer coaching & innovation program, The Breakthrough Lawyer.
Nick co-created the world’s first AI-enabled privacy chatbot and won the Financial Times newspaper’s Asia Innovator or the Year Award. He is the Co-founder of LawPath, an online legal solution which has served over 400,000 customers. Nick is on the boards of the Vodafone Foundation, the Sydney Film Festival and world-leading genetics research organisation, the Garvan Foundation. He is the host of the popular podcast Web3 goes Mainstream and the author of the Amazon best-selling books Big Data, Big Responsibilities and Digital Disruption.
Scott Anthony
Contributor
Scott Anthony is a Partner with Covington & Burling LLP, a multinational law firm working at the intersection of law and policy. He has more than 25 years of legal experience advising technology companies on their most important and critical strategic transactions (mergers and acquisitions, joint ventures, strategic investments, partnerships and financing matters) and corporate governance matters. He has extensive experience working on cross border matters between Asia (particularly China and South Korea) and the United States. He has been associated with, and a supporter of, The Atticus Project from its early days.
Chantal Hwang Barksdale
Contributor
Chantal Hwang Barksdale is a Senior Counsel at Apple Inc.’s Intellectual Property team. She works closely with and advises product marketing and engineering teams on new product and feature launches while engaging and supervising an extensive global network of outside counsel. Her role entails collaborating on brand protection, licensing, and marketing guidelines for company trademarks and logos. Barksdale effectively manages large and expanding global portfolios of well-known brands across EMEIA, APAC, and the Americas, handling company response in domestic and international intellectual property disputes, including developing and implementing settlement or litigation strategies, while balancing company sensitivities and potential PR considerations.
Hannah Kang
Contributor
Hannah is a senior corporate counsel with over 14 years of legal experience working at a NY law firm, a Fortune 10 company and a healthcare startup advising on M&A, investments, corporate governance, strategic transactions, commercial contracts, intellectual property, equity administration, privacy and product development.
Miriam Kim
Contributor
Miriam Kim is a partner in the San Francisco office of Munger, Tolles & Olson.
Her practice focuses on complex civil litigation and high-stakes investigations, with a particular emphasis on intellectual property matters, marketing and false advertising claims, and technology disputes. Ms. Kim has a reputation for solving her clients’ most challenging problems as if they were her own. She is currently serving as a practitioner fellow at the Berkeley Center for Law & Technology focused on the use of generative AI and the practice of law. She is also a member of the firm’s Management Committee and Generative AI Task Force.
Irene Liu
Contributor
Irene Liu is an Executive in Residence at Berkeley Law and the founder of Hypergrowth GC. Previously, Irene was Hopin’s Chief Financial and Legal Officer and the General Counsel of Checkr. She was also formerly a trial attorney in the U.S. Department of Justice, Antitrust Division, and the Federal Trade Commission.
Ariana Shaffer
Contributor
Ariana Shaffer is a Founding Attorney at a Seed-stage startup called Tome that uses AI to summarize common legal contracts. She was previously a venture capital attorney at Cooley LLP.
Adam Sterling
Contributor
Adam Sterling is the assistant dean for executive education at Berkeley Law and the lead instructor for VC University. Previously, Adam was the executive director of the Berkeley Center for Law and Business and before academia was a startup and venture capital attorney.
Lyla Sax
Graduate Student Contributor
Lyla Sax is a third-year law student and Institute for International Law and Justice Joyce Lowinson Scholar at New York University School of Law. Lyla previously volunteered with the Atticus Project to label MAUD, an open-sourced, AI training dataset of legal contracts. She will join a law firm in New York after graduation.
Adam Shankman
Graduate Student Contributor
Adam Shankman is a researcher for the Atticus Project and a third-year law student at Columbia Law School, where he is a Harlan Fiske Stone Scholar. Previously, Adam was an Associate at Stabilis Capital. He will join a law firm in New York following graduation.
Yuyang Sun
Student Contributor
Yuyang Sun is an undergraduate student at Yale University currently in her third year of study and double majoring in Evolutionary Biology and Statistics.
Anwen Chen
Student Contributor
Anwen Chen is a high school student at The Nueva School in San Mateo, California. She has a passion for analytical writing and all things visual arts-related.
Certificate of Completion
Participants will earn a certificate of completion from Berkeley Law Executive Education.
3 hours
This course has been approved for up to 3 MCLE credit hours by the California State Bar. Attorneys from other states will need to contact their local bar to verify their own certification requirements.
For disability accommodation requests and information, please contact us at [email protected]. Please attempt to make your service request with as much advance notice as possible.