The author of The Volokh Conspiracy, a blog featuring law professors and contrarian perspectives, recently attended a workshop on AI in academia. He notes that established professors can train AI on their existing body of work, but junior scholars struggle to develop their own voice using AI without prior writings to train it on. The key issue is how the rise of AI will impact the hiring process at law schools and tenure decisions, as younger scholars may rely heavily on AI for writing. The author fears that this could lead to a homogenization of scholarly voices and a shift from creative thinking to relying on "law coding".
Written by the local model on 2026-08-24,
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same event (that is the story summary below).
Story summary
Law professors at a workshop discussed how they are using AI to generate text in their own writing style. One professor shared that he had trained the AI on his past publications to create content similar to his own scholarly voice. This raises questions about how junior professors can develop their unique voices if established professors use AI and don't have a large corpus of writings to train it on. The speaker noted that young scholars may be more inclined to use technology, including AI, due to their tech savviness.
Written for “AI Impact on Academia” on 2026-08-31,
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Leaning score +0.85 for article 2062 (high confidence, 2 verified quotes) · logged 2026-08-27
Mostly law professors | Sometimes contrarian | Often libertarian | Always independent
I recently attended a workshop about how law professor are using AI.
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professor → attend → AI
One professor said that he has trained AI on his writing style by reviewing all of his past publications.
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he → say → publications
Thus, any text generated by the AI will be in the same sort of style that the professor has--or perhaps had.
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professor → generate → style
Law professors will often research in certain areas of the law, but across all categories, they write with a particular approach called a scholarly voice.
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they → research → approach
Many junior professors struggle with developing their own voice.
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professors → struggle → voice
Indeed, I would wager that for most scholars, their voice changes over the years.
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voice → wager → years
For sure, my voice has changed substantially since I started teaching in 2012.
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I → change → 2012
What does AI do to this process?
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AI → do → process
Perhaps established professors have a corpus of writings to train AI, but newbies do not.
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newbies → establish → AI
How are developing writers supposed to build their own voice if AI has nothing to train on?
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AI → develop → nothing
I suppose the obvious reply is that junior scholars should not use AI.
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scholars → suppose → AI
But I would wager that the youngest writers are likely the most tech savvy, and may have even started using this tech in the earliest years of their practice.
uncertain
writers → wager → practice
Soon enough, all people on the hiring market will have come of age with AI in law school.
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people → hire → school
And they will never have a chance to develop their own voice without a helpful agent to assist.
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they → have → agent
This fact will necessarily affect how law schools hire and grant tenure.
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schools → affect → tenure
Perhaps professors should be asked to describe exactly how they use AI in their scholarship.
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they → ask → scholarship
But I am not confident this inquiry will prove much.
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inquiry → prove → much
Ultimately, we should just presume that nearly everything written was aided by AI, unless a professor affirmatively states it was written old school.
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it → presume → AI
And with that presumption in place, I struggle to measure how much the professor actually brings to the scholarly inquiry.
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professor → struggle → inquiry
We will just end up rewarding whoever can coach their agents the best.
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whoever → end → agents
Scholarly creativity will give way to law coding.
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creativity → give → coding