Course Details

Artificial Intelligence and Legal Reasoning

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. We will explore modeling statutory reasoning, computational law, expert systems, predicting legal outcomes, information retrieval, machine learning, information extraction, and other related topics. 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. Students will complete a project, which requires that they design and build an AI-related application for law using tools that do not require prior programming experience. This course assumes that students are not familiar with programming. While programming is not the focus of this class, students will learn pseudocode and sufficient coding basics to complete the course project and engage with lawyers, legal knowledge engineers, technologists, operations professionals, and other professionals engineering the future of legal services.

Catalog Number: LAWSTUDY 717

Additional Course Information: Experiential Learning


Course History

Fall 2024
Title: Artificial Intelligence and Legal Reasoning
Faculty: Linna Jr., Daniel W. (courses | profile)
Section: 1     Credits: 2.0
Capacity: 40     Actual: 35

Fall 2023
Title: AI and Legal Reasoning
Faculty: Linna Jr., Daniel W. (courses | profile)
Section: 1     Credits: 2.0
Capacity: 25     Actual: 25

Fall 2022
Title: Artificial Intelligence and Legal Reasoning
Faculty: Linna Jr., Daniel W. (courses | profile)
Section: 1     Credits: 2.0
Capacity: 25     Actual: 25