ADJUNCT FACULTY PROFESSOR - Applied Legal Analytics & AI

%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0in;%22%3E%3Cspan style=%22font-family:Arial, Helvetica, sans-serif;font-size:14px;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3ELAW 5719 – %3C/strong%3E%3C/span%3E%3Cspan style=%22line-height:107%;text-transform:uppercase;%22%3E%3Cstrong%3EAPPLIED LEGAL ANALYTICS%3C/strong%3E%3C/span%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3E – 3 credits – Spring 2027%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0in;%22%3E%3Cspan style=%22background-color:white;color:black;font-family:Arial, Helvetica, sans-serif;font-size:14px;%22%3E%3Cspan style=%22line-height:107%;%22%3EThe University of Pittsburgh School of Law invites applications for an adjunct faculty position to teach Applied Legal Analytics for the spring 2027 semester.%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0in;%22%3E%3Cspan style=%22font-family:Arial, Helvetica, sans-serif;font-size:14px;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3EDescription%3C/strong%3E: %3C/span%3E%3C/span%3E%3Cspan style=%22color:#515151;font-family:Arial, Helvetica, sans-serif;font-size:14px;%22%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3ETechnological advances are affecting the legal profession.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3EWhile 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.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3EThis 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.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3EResearchers in the field of Artificial Intelligence and Law (AI %26amp; 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.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3EMeanwhile, the commercial LegalTech sector is thriving.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3ECompanies 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.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3EThis 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.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3EThis 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.%3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;mso-spacerun:yes;%22%3E%26nbsp; %3C/span%3E%3Cspan style=%22line-height:107%;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22%3ELecture sessions will alternate with working sessions where instructors assist groups with projects.%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0in;%22%3E%3Cspan style=%22font-family:Arial, Helvetica, sans-serif;font-size:14px;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3ESalary%3C/strong%3E: %242,500 per credit%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0in;%22%3E%3Cspan style=%22font-family:Arial, Helvetica, sans-serif;font-size:14px;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3EQualifications%3C/strong%3E: Juris Doctor degree, graduate-level teaching experience preferred; 5 years of practical experience in corporate law practice preferred.%3C/span%3E%3C/span%3E%3C/p%3E

The University of Pittsburgh is an equal opportunity employer / disability / veteran.

Job Details
Job Description: Law-Instruction, Pennsylvania-Pittsburgh
Assignment Category: Part-time temporary
Bargaining Unit Eligibility: This position may be bargaining unit eligible
Campus: Pittsburgh
Child Protection Clearances: Not Applicable
Required Attachments: Cover Letter, Curriculum Vitae