
ADJUNCT FACULTY PROFESSOR - Applied Legal Analytics & AI - 26006735
Pittsburgh, PAJob$2500 stipendSeen todaySeen in employer's feed today
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Job overview
The University of Pittsburgh School of Law invites applications for an adjunct faculty member to teach Applied Legal Analytics during the Spring 2027 semester. The course introduces law students to artificial intelligence, machine learning, and natural language processing in legal applications through hands-on projects and collaboration with computer science students. Instructors alternate lectures with project working sessions and mentor student groups.
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Full job description
LAW 5719 -- APPLIED LEGAL ANALYTICS -- 3 credits -- Spring 2027 The University of Pittsburgh School of Law invites applications for an adjunct faculty position to teach Applied Legal Analytics for the spring 2027 semester. 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 technique 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, provide 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 languages 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-sale document analysis tasks for efficient, and to use predictive analytics for better decision-making. This course will help law students gain literacy with the 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 practice 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. Salary : $2,500 per credit Qualifications : Juris Doctor degree, graduate-level teaching experience preferred; 5 years of practical experience in corporate law practice preferred. The University of Pittsburgh is an equal opportunity employer / disability / veteran. View the full job description on the employer's website. Equal employment opportunity, including veterans and individuals with disabilities. PI287986672 / 25-1011.00 Business Teachers, Postsecondary
How this job compares
Set against the 706 open Adjunct Faculty jobs on Olive Jobs, counted October 28, 2026.
- Pay
- This posting$2500 stipend
- US median$57/hr206 hourly ranges
- Openings
- Olive Jobs lists 12 open Adjunct Faculty jobs in Pennsylvania and 706 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- Lone Star College133 open
- San Diego Community College District39 open
- College of DuPage35 open
- Experience
- Adjunct Faculty postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 3 years (227 postings).
- Education
- This posting asks for a doctorate or professional degree; 24 of the 706 open Adjunct Faculty jobs (3%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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