- About Pitt Law
- Welcome from the Interim Dean
- Facilities
- Dean's Office
- Faculty Directory
- Staff Directory
- History
- Board of Visitors Members
- Community Engagement
- Office of Equity & Inclusive Excellence
- Land Acknowledgement
- The Resilience and Engagement Project
- Building Resilience Case Studies on Student Interventions & Psychological Insights Conference
- Summary
- Project Description
- Students and Faculty Talk Resilience
- How does the in-class facilitation conversation work?
- How to Facilitate In-Class Discussion
- Suggested Project Timeline and Milestone
- Tips for Leading a Discussion
- Sample Lesson Plan for Leading a Discussion Group
- Sample Student Responses and Advice
- Project Results
- Our Papers
- The Student Voice
- Helpful Resources
- Handbook
- Glossary
- Agenda
- Zoom Backgrounds
- Admissions
- Academics
- Centers & Institutes
- Bioethics & Health Law
- Center for Civil Rights and Racial Justice
- Center for International Legal Education
- CILE Overview
- Global Scholars Program
- Rule of Law Fellowship Program
- CILE 25th Anniversary
- JD Opportunities
- LLM Program
- SJD Program
- Doctor of Juridical Science (SJD)
- Visiting Professors
- Visiting Scholars
- Study Abroad
- International Internships
- Moot Court Experience
- The CISG Song
- Alumni News
- Visiting Scholars
- Support CILE
- Contact CILE
- News, Events and Media
- Center for Text Analytic Methods in Legal Studies
- Future Law Project
- Hickton Center for Community Legal Services & Clinical Legal Education
- John P. Gismondi Civil Litigation Program
- Career Services
- Resources
- A-Z Resources Guide
- Academic Calendar
- Dean of Students
- Student Event Calendar
- Academic Support
- Bar Exams
- Barco Law Building Hours
- Courses and Curriculum
- Courses & Curriculum Overview
- Catalog of Courses
- First-Year Curriculum
- Pitt Law Academy
- Courses by Requirement
- Departmental Consent
- Required Textbooks by Class
- Schedule of Classes Spring 2025
- Schedule of Intersession Spring 2025
- Schedule of Classes Fall 2024
- Schedule of Classes Spring 2024
- Schedule of Intersession 2024
- Schedule of Classes Fall 2023
- Schedule of Classes Spring 2023
- Schedule of Intersession 2023
- Schedule of Classes Fall 2022
- Exams
- Grades and Transcripts
- Graduation and Diplomas
- Incoming Student Orientation
- Information Technology
- Marketing & Communications
- Office of Equity & Inclusive Excellence
- Ombudsperson
- Policies and Procedures
- Registration Services
- Student Bar Association (SBA)
- Student Organizations
- Alumni
Applied Legal Data Analytics & AI
Class Term:
Spring Term 2022-2023
Catalog Number:
5719
Professor(s):
Professor
Professor
Lecture
Credits:
3 (3 Contact, 0 Field)
Priority:
General Enrollment Course
Full Year Course:
No
Category:
Standard Courses
Grading Details
Final grades will consist of the course project (40%), four assignments (4x10%=40%), and the paper abstract submissions (20%).
Description
Technological advances are affecting the legal profession. While it is hard to predict the changes that machine learning and natural language processing will bring, legal professionals certainly will need to understand the new techniques and how to use and evaluate them. This course, co-taught by instructors from the University of Pittsburgh School of Law and Intelligent Systems Program, provides a hands-on practical introduction to the fields of artificial intelligence, machine learning and natural language processing as they are being applied to support the work of legal professionals, researchers, and administrators. Researchers in the field of Artificial Intelligence and Law (AI&Law) have been applying recent advances in natural language processing and machine learning to extract semantic information from legal documents and to use it to solve legal problems. Meanwhile, the commercial LegalTech sector is thriving. Companies and startups have been tapping into the legal industry’s need to make large-scale document analysis tasks more efficient, and to use predictive analytics for better decision making. This course will help law students gain literacy with these technologies and learn how to apply them to the kinds of legal problems they have studied or will encounter in practice. This course not only teaches law students about the new tools, but enables students to gain practical experience using them under close mentorship and in project-based collaboration with students from computer science backgrounds who want to learn about the law. Lecture sessions will alternate with working sessions where instructors assist groups with projects.
This course has been flagged as a distance education course. This means this class is one in which students are separated from the faculty member or each other (other than specially accommodated students) for more than one-third of the instruction and the instruction involves the use of technology to support regular and substantive interaction among students and between the students and the faculty member, either synchronously or asynchronously.
This course is held on a specific day, at a specific time, on Zoom or using some other remote technology. The class never meets in person.