Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Postsecondary Law Teacher:

41.4%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary law teaching is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For postsecondary law teachers, six of seven sources had data, with Anthropic missing. On AI exposure, Will Robots Take My Job saw low risk while AI Resilience Model and Microsoft both rated it high, creating disagreement that pulls confidence to medium. Weak employer demand from BLS Opportunity Score pushed the score down, landing this career at "Somewhat Resilient."

AI Resilience Report forLaw Teachers, Postsecondary

$126,650 median salary2,200 annual openingsSOC Code: 25-1112.00

Law Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Law professors are labeled "Somewhat Resilient" because AI is genuinely changing how they do their work, even though it is not replacing them. Tools that help with grading, research, and lesson prep are becoming standard, and professors are now expected to teach students how to use AI responsibly, which adds a whole new layer to the job.

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This role is somewhat resilient

Law professors are labeled "Somewhat Resilient" because AI is genuinely changing how they do their work, even though it is not replacing them. Tools that help with grading, research, and lesson prep are becoming standard, and professors are now expected to teach students how to use AI responsibly, which adds a whole new layer to the job.

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Analysis of Current AI Resilience

Postsecondary Law Teacher

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary Law Teacher jobs?

Right now, AI is mostly augmenting law professors rather than replacing them. The work of teaching law — running discussions, mentoring students, and serving on committees — still needs a human in the room. But generative AI is quickly becoming a regular part of how law faculty prepare and teach.

According to a December 2025 ABA Task Force on Law and Artificial Intelligence report [1], AI's impact now reaches "the rule of law, the courts and legal education," and the bar is publishing guidance to help educators and lawyers use it ethically. A Bloomberg Law survey reported by the ABA Journal in March 2026 [1] found that 25 of 28 ABA-accredited law schools stated that they offered AI-focused courses that teach a variety of skills, showing how fast professors are folding AI into syllabi.

Individual instructors are also using AI as a teaching assistant. At Columbia Law School, Professor Talia Gillis described uploading her class notes to AI [2] to interrogate what happened during class discussions and check whether her explanations were clear. At the University of Chicago, faculty are weaving AI into the curriculum [3] while ensuring they master the timeless skills of research, analysis and judgment.

A March 2026 Thomson Reuters Institute case study [4] and research like the SSRN paper "Grading Machines: Can AI Exam-Grading Replace Law Professors? [5]" show experimentation with AI for grading and study tools — but professors remain the supervisors. As UChicago clinical professor Mark Templeton warned [6], when you use AI, there is a duty to supervise it like you would a junior attorney or paralegal.

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AI Adoption

How fast is AI adoption growing for Postsecondary Law Teacher?

Adoption is moving quickly, but carefully. The biggest push comes from employers: law firms are embracing AI [7] and expect new graduates to arrive AI-literate, so schools feel pressure to teach those skills. Tools like Westlaw Precision AI, Lexis+ AI, and CoCounsel are already commercially available and inexpensive compared to faculty labor, which speeds adoption for tasks like literature review, materials selection, and drafting committee memos.

At the same time, several brakes slow full automation of teaching itself. Legal accuracy is non-negotiable: a recent AALS-hosted TaxProf Blog post [8] summarizing Bloomberg Law analysis warns that large language models generate fluent legal analysis through probabilistic text prediction rather than authoritative reasoning, which is risky in a field built on precedent. Ethical rules, student mentorship, recruitment, and committee judgment also require human accountability that AI cannot provide.

According to 85 Predictions for AI and the Law in 2026 in the National Law Review [9], the legal profession's overall direction is toward AI as infrastructure rather than substitute. So if you're considering this career: AI literacy will be expected, but the core human work of teaching, mentoring, and shaping future lawyers is staying firmly in human hands.

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Will AI replace Postsecondary Law Teacher?

Will AI replace Postsecondary Law Teacher?

Not entirely. We think AI will take over some tasks, but not the whole job.

Law professors are already using AI to sharpen their teaching. Columbia Law's Professor Talia Gillis uploads class notes to AI to review discussion quality and check her explanations [2]. Law schools are weaving AI tools into their curricula, and employers are pushing graduates to arrive AI-literate [7]. Tasks like literature review, drafting materials, and even experimental grading assistance are moving toward AI [5]. That shift is real, and our 41.4% AI Resilience Score reflects it.

What stays human is the core of the job. Running Socratic discussions, mentoring students through hard ethical questions, and exercising the kind of judgment that shapes future lawyers cannot be handed off to a model. Legal accuracy is non-negotiable, and large language models generate fluent text through probabilistic prediction rather than authoritative legal reasoning [8]. Someone with real accountability has to supervise that output.

The job market picture is honestly modest, with employer demand rated low through 2034. But the role itself is not disappearing. The direction across legal education is AI as infrastructure, not substitute [9]. Professors who get comfortable using these tools, while keeping their mentorship and judgment front and center, are the ones best positioned going forward.

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Latest AI news for Postsecondary Law Teacher

As AI tools become more prevalent, postsecondary law teachers are positioned to adapt and thrive. Articles like "College professors face the highest exposure to AI tools" highlight that law educators are among those most impacted, but also suggest opportunities for innovative teaching methods. Meanwhile, "AI May Be Disrupting Entry-Level Jobs" indicates that fields like law will still demand skilled professionals, emphasizing the need for adaptability. Embracing AI can enhance legal education, making it a resilient career path in a changing job landscape.

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.

Employment & Wage Data

Median Wage

$126,650

Jobs (2024)

29,500

Growth (2024-34)

+2.2%

Annual Openings

2,200

Education

Doctoral or professional degree

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

96% ResilienceSupplemental

Perform administrative duties such as serving as department head.

2

95% ResilienceSupplemental

Act as advisers to student organizations.

3

95% ResilienceSupplemental

Assign cases for students to hear and try.

4

94% ResilienceCore Task

Collaborate with colleagues to address teaching and research issues.

5

93% ResilienceCore Task

Select and obtain materials and supplies such as textbooks.

6

92% ResilienceCore Task

Initiate, facilitate, and moderate classroom discussions.

7

92% ResilienceCore Task

Participate in student recruitment, registration, and placement activities.

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.

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