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 an online course designed for lawyers and others in the legal industry who are interested in harnessing the power of deep learning models. Participants will learn about generative AI, explore a range of use cases, and discover ethical and responsible ways to integrate generative AI into their work.
Led by Wei Chen, a seasoned chief legal officer experienced in AI applications, the program offers interactive exercises and discussions on prompt engineering and managing AI risks such as hallucination and confidentiality.
Generative AI for the Legal Profession will help attorneys, paralegals, and legal operations professionals, among others master key AI skills and shape the future of legal practice.
What is generative AI?
Generative AI, short for Generative Artificial Intelligence, is a type of AI technology that can create new content based on patterns it has “learned” from existing data. Generative AI has the potential to streamline processes, improve efficiency, and enhance decision-making in the legal profession.
Online
Self-PacedCourse Launch
Content Access: Course content available until February 2, 2026
Time Commitment: Three-week recommended schedule; 1-2 hours per week; under 5 hours total
The course is relevant for all legal professionals, including:
No prior AI experience or technical skills are required!
Generative AI for the Legal Profession is a self-paced online course. Students can follow the provided syllabus or choose where to start based on their knowledge and experience.
The course consists of five modules, each containing a series of 5- to 10-minute videos. In the videos, instructor Wei Chen uses visual presentations to demonstrate specific situations or challenges that generative AI can address. The videos also contain safety tips to mitigate generative AI risks and maintain professional responsibility and ethical standards. The modules also include interviews with industry experts who discuss hot topics related to generative AI and share their best practices for using the technology in the legal profession.
Students are assigned interactive exercises that allow them to experiment with different generative AI tools.
This program features optional quarterly jam sessions beginning in March, featuring generative AI use cases. Led by our instructor, these sessions also provide an opportunity to ask questions regarding the course content and how to effectively use generative AI tools. These sessions will not be recorded.
A dedicated Slack channel provides participants 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 request the course syllabus.
Module 1
Module 2
Module 3
Module 4
Module 5
General Tuition
Berkeley Law 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
Member of the Legal Team, OpenAI
Course Creator and Instructor
Wei Chen is the Chief Legal Officer 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 nonprofit 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.