The Fellow for AI in Legal Practice will have primary responsibility for monitoring the jagged frontier of AI tool adoptions across various lanes of legal practice, and for advising the dean on how ...
The Fellow for AI in Legal Practice will have primary responsibility for monitoring the jagged frontier of AI tool adoptions across various lanes of legal practice, and for advising the dean on how ...
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Ai In information
What is the difference between Ai In vs Data Analyst?
| Aspect | Ai In | Data Analyst |
|---|---|---|
| Required Credentials | Typically a degree in AI, computer science, or related field; certifications in AI or machine learning | Degree in statistics, mathematics, or related field; certifications in data analysis or visualization |
| Work Environment | Tech companies, AI research labs, startups; focus on developing AI models | Business, finance, healthcare sectors; analyze data to inform decisions |
| Employer & Industry Usage | Primarily in tech and AI-focused industries | Across various industries including finance, healthcare, marketing |
While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.
What cities in Texas are hiring for Ai In jobs?
Cities in Texas with the most Ai In job openings:
Full-time
Re-posted 21 days ago
University Of Texas at Austin rating
8.3
Based on 64 frontline employees who took The Breakroom Quiz
126th of 618 rated colleges and universities
Job description
Description
The AI Innovation & Law Program at Texas Law invites applications to become our Fellow for AI in Legal Practice, working directly with the the head of the Program (Kevin Frazier) and the Dean (Bobby Chesney) in order to lead the Program's work relating to the adoption of AI tools in legal practice and the implications of that adoption for legal education.
The Fellow for AI in Legal Practice will have primary responsibility for monitoring the jagged frontier of AI tool adoptions across various lanes of legal practice, and for advising the dean on how best to translate those insights into sensible innovations (curricular and extracurricular) for our educational program and for the upskilling of faculty and staff. The Fellow will have teaching responsibilities focused on these matters, and will be expected to play an important role in the larger life of the AI Innovation and Law Program. Among other things, this will include orchestration of an AI Legal Practice Lab in which the Fellow and students will test and report on the capabilities of various practice-related AI tools. Creativity and entrepreneurship in this role is strongly encouraged. The Fellow also will play a leading role for the program with respect to engagement with the legal tech community.
Qualifications
The successful candidate will have a J.D. and demonstrable expertise with respect to AI in general, the legal tech industry, and the ongoing evolution of AI adoption in various lanes of legal practice. The candidate ideally will have teaching experience (with the ability to provide student evaluations for such courses); strong public speaking/communication skills; experience with curriculum development; comfort working collaboratively with the dean, the program lead, and all the members of our community (faculty, students, and staff) no matter their preexisting level of comfort with technology.
Application Instructions
Please include the following with your application
Applications will be considered on a rolling basiswith the intention is of starting the fellowship in time for the 2026-27 Academic Year.
The AI Innovation & Law Program at Texas Law invites applications to become our Fellow for AI in Legal Practice, working directly with the the head of the Program (Kevin Frazier) and the Dean (Bobby Chesney) in order to lead the Program's work relating to the adoption of AI tools in legal practice and the implications of that adoption for legal education.
The Fellow for AI in Legal Practice will have primary responsibility for monitoring the jagged frontier of AI tool adoptions across various lanes of legal practice, and for advising the dean on how best to translate those insights into sensible innovations (curricular and extracurricular) for our educational program and for the upskilling of faculty and staff. The Fellow will have teaching responsibilities focused on these matters, and will be expected to play an important role in the larger life of the AI Innovation and Law Program. Among other things, this will include orchestration of an AI Legal Practice Lab in which the Fellow and students will test and report on the capabilities of various practice-related AI tools. Creativity and entrepreneurship in this role is strongly encouraged. The Fellow also will play a leading role for the program with respect to engagement with the legal tech community.
Qualifications
The successful candidate will have a J.D. and demonstrable expertise with respect to AI in general, the legal tech industry, and the ongoing evolution of AI adoption in various lanes of legal practice. The candidate ideally will have teaching experience (with the ability to provide student evaluations for such courses); strong public speaking/communication skills; experience with curriculum development; comfort working collaboratively with the dean, the program lead, and all the members of our community (faculty, students, and staff) no matter their preexisting level of comfort with technology.
Application Instructions
Please include the following with your application
- Cover letter (4 pages maximum)
-
- (1) describe your background in relation to this topic
- (2) explain in detail why you are interested in this job in particular
- (3) share your current understanding of AI adoption in legal practice and its implications for legal education (in the short and long terms)
- (4) share your thoughts on what courses, trainings, and other activities you might wish to implement if you have this role.
- Complete CV
- Law School Transcript
Applications will be considered on a rolling basiswith the intention is of starting the fellowship in time for the 2026-27 Academic Year.
What University Of Texas at Austin employees say
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Benefits
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About University Of Texas
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Industry
Education and retail
Company size
10,000+ Employees
Headquarters location
Austin, TX, US