Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Postsecondary Law Teacher:
41.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forLaw Teachers, Postsecondary
$128,500 median salary•1,800 annual openings•SOC Code: 25-1112.00
Law Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Law teaching is "Somewhat Resilient" because AI is genuinely changing how a lot of the work gets done, even if it is not replacing professors entirely. Tasks like grading, drafting course materials, and giving students practice feedback are already being handled or assisted by AI tools, which means the job is shifting away from some of its traditional workload.
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Law teaching is "Somewhat Resilient" because AI is genuinely changing how a lot of the work gets done, even if it is not replacing professors entirely. Tasks like grading, drafting course materials, and giving students practice feedback are already being handled or assisted by AI tools, which means the job is shifting away from some of its traditional workload.
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Postsecondary Law Teacher
Updated Quarterly
How is AI changing Postsecondary Law Teacher jobs?
Right now, AI is mostly augmenting law professors rather than replacing them — meaning it helps them with tasks, but people still lead the classroom. On the administrative and prep side, faculty are increasingly using generative AI to draft syllabi, build handouts, and even score exams. At the University of Chicago, Professor Eric Posner ran a study where researchers found consistently high correlations between human grading and AI grading — sometimes approaching the level of agreement seen when the same professor re-grades their own exams after time has passed, suggesting AI can meaningfully assist with the grading load.
Professors are also building custom teaching tools; a Thomson Reuters Institute case study [1] profiles a UMKC law professor who pioneered custom-built tools that simulate trial judges, three-panel appellate courts, witnesses, and evidentiary objection scenarios so students get unlimited low-stakes practice. Even instruction itself is being tested: a Stanford Law School study [2] found that in blind reviews, professors rated AI responses significantly higher than answers written by other professors, with AI winning 75% of head-to-head matchups. Still, the human tasks — mentoring, committee service, and supervising clinics — remain firmly human, and some schools are pushing back on classroom AI use.
Inside Higher Ed reports [3] that the University of Chicago Law School announced a ban on laptops, tablets and phones in the classroom to protect oral-argument skills.
Sources
How fast is AI adoption growing for Postsecondary Law Teacher?
Adoption is happening quickly for prep work but slowly for core teaching. Professional bodies are actively pushing training: the Association of American Law Schools announced [4] a partnership with West Academic focused on three initiatives: a national webinar series, developing online resources related to AI, and research on faculty and student attitudes toward AI. That means low implementation cost — most tools are already commercially available through ChatGPT, Claude, or Gemini subscriptions many law schools already pay for.
Ethical and professional-responsibility concerns, plus the humanistic mission of legal education, are slowing full adoption; a University of Chicago strategy statement [5] frames the response as rethinking pedagogy rather than replacing teachers. The bottom line for students worrying about their future: judgment, mentorship, oral advocacy, and ethical reasoning still need people — and those are exactly the human skills law schools are doubling down on.
Sources
Will AI replace Postsecondary Law Teacher?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our scorecard gives law professors a 41.2% AI Resilience Score, which signals real disruption ahead, especially in the more routine parts of the role. AI is already handling a meaningful share of prep work: faculty are using generative tools to draft syllabi, build handouts, and assist with grading. A Stanford Law study even found that in blind reviews, AI responses outperformed professor-written answers in 75% of head-to-head matchups [2]. That is not a number to brush off.
But a law professor's job is not just producing correct legal analysis. It is mentoring students through hard ethical questions, supervising clinics, running oral advocacy exercises, and modeling professional judgment. Some schools are actively protecting those skills, like the University of Chicago Law School banning laptops and phones in classrooms to preserve oral-argument practice [5]. The Association of American Law Schools is also investing in faculty training rather than replacement [4], which points toward adaptation, not elimination.
The economic picture is mixed and job market growth is limited through 2034, so this is not a career to enter without eyes open. Still, the core human work of legal education, judgment, mentorship, and ethical reasoning, is exactly what AI cannot replicate yet.
Sources
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Latest AI news for Postsecondary Law Teacher
These articles highlight the growing influence of AI in higher education, particularly for law teachers. With 14 out of 20 occupations most exposed to AI being postsecondary teachers, understanding AI's role is crucial. For instance, the American Bar Association survey indicates that law schools are increasingly integrating AI into their curricula, suggesting that future law educators must adapt to this trend. Embracing AI tools like ChatGPT can enhance teaching methods while preparing students for a tech-savvy legal landscape, fostering resilience in a changing job market.
70+ Stats On AI Replacing Jobs (2026)
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www.frontiersin.org • 6/25/2024
This study explores the effects of Artificial Intelligence (AI) chatbots, notably OpenAI's ChatGPT, on Higher Education Institutions (HEIs), employing a...
Survey Suggests Trend Toward Use of AI in Legal Education
www.theeduledger.com • 6/25/2024
A recent American Bar Association Task Force on Law and Artificial Intelligence survey reveals that law schools are increasingly...
Why some college professors are adopting ChatGPT AI as quickly as students
www.cnbc.com • 4/2/2023
AI researchers see teaching jobs most at risk from generative AI. Maybe it's no surprise then that college professors are early adopters of...
College professors face the highest exposure to AI tools, study finds
universitybusiness.com • 3/24/2023
Of the 20 occupations most exposed to AI language modeling capabilities, 14 of them were postsecondary teachers.
More Career Info
Career: Law Teachers, Postsecondary
They teach college students about laws and legal systems, preparing them for careers in law by explaining complex legal concepts in simpler terms.
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Employment & Wage Data
Median Wage
$128,500
Jobs (2025)
25,800
Growth (2025-35)
+2.6%
Annual Openings
1,800
Education
Doctoral or professional degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Participate in campus and community events.
2
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
3
Perform administrative duties, such as serving as department head.
4
Act as advisers to student organizations.
5
Supervise undergraduate or graduate teaching, internship, and research work.
6
Initiate, facilitate, and moderate classroom discussions.
7
Collaborate with colleagues to address teaching and research issues.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
