ADJUNCT FACULTY PROFESSOR - Applied Legal Analytics & AI
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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.