Innovation Lab (JD, LLM, MSL, CS)
Teams of Law and Computer Science students work closely with partner organizations to develop a prototype technology solution to a legal-services problem. Partners include law firms, corporate legal departments, legal aid organizations, courts, legal tech companies, and information providers. The course focuses on the legal, business, technical, teamwork, design, presentation, and other innovation skills required to succeed. Technology skills are not required to do well in this course.
AI and Legal Reasoning (JD, LLM)
This course introduces students to the fundamentals of artificial intelligence and the many opportunities AI advancements present today and in the near future to automate and augment the delivery of legal services. The aim is to develop students’ understanding of cognitive computing and their ability to deconstruct law, legal reasoning, and legal practice to engineer legal processes, applications, and systems that improve access to the law and legal services for everyone, from legal aid and the consumer market to corporations and governments facing increasingly complex multinational challenges.
Law of AI and Robotics (JD, LLM)
This course explores legal, regulatory, and policy questions raised by rapid advancements in artificial intelligence and robotics. We will explore legal issues related to autonomous vehicles, drones, augmented reality, virtual reality, Internet of Things, service robots, robot policing, warfare, the automation of knowledge work, Big Data, algorithms impacting agency and liberty, and more. We will examine these issues within the context of existing law, including tort, property, copyright, war, agency, criminal, and international law, and assess the need for new laws and regulations.
Assessing AI and Computational Technologies (MSL, JD, LLM)
This course introduces students to artificial intelligence and computational technologies and equips them to identify and assess business and societal opportunities and risks. Globally, leading organizations have begun to embrace these technologies and prepare themselves to leverage future technological advances. This course aims to prepare students to contribute to the development and implementation of innovation initiatives, considering various perspectives, including that of executive, entrepreneur, technologist, regulator, and lawyer.
Introduction to Law and Digital Technologies (CS)
This course explores the legal implications of the contemporary technology landscape, including the growth of artificial intelligence, the ecosystem for creating and disseminating digital information, and the challenges of ensuring digital privacy and algorithm equity. The course aims to help students develop a broad, contextualized view of the legal and policy opportunities and challenges associated with rapid technological change. A key goal of the course is for students to acquire the skills to understand, contribute to, and shape the dialog on complex issues at the intersection of technology and law.
The Science of Law and Computation (CS PhD)
This advanced topics seminar explores the many parallels between the science of law and the science of computation. Both fields require understanding outcomes produced by the interpretation of written instructions, understanding when written instructions are effective, and understanding systems for producing effective written instructions. This course aims to identify fruitful avenues for research that combine legal reasoning and the principles of the rule of law with computer science technical approaches (algorithms, machine learning, programming languages, cryptography, etc).