MIT Technology Review · Dec 15, 2025
MIT Technology Review reports that AI may not replace lawyers soon
Markdown · JSON · Original source
MIT Technology Review’s article, published December 15, 2025, argues that AI is changing some legal work but may not replace lawyers anytime soon. It contrasts expectations raised by legal test results and automation forecasts with lawyers’ accounts of tools that struggle with case citations, ambiguous law and novel questions. The article argues that passing a standardized test is not the same as practicing law, which can require strategic judgment and arguments in unfamiliar situations. Professional also find limitations, though the article notes that they may not capture the hardest work lawyers do. The case is not only about model capability: liability, regulation, clients wanting a human responsible, and firms’ reliance on billable hours may also affect deployment. The article reports that labor statistics had yet to show lawyers being displaced, while noting that AI may affect entry-level work and that future labor-market effects are uncertain. It also raises a training concern: says firms may need more formal teaching if junior work dries up. Junior associate Zach Couger values AI help with contracts but worries he is missing the repetitive practice senior attorneys received. He wonders whether he could be among the last class of associates at big law firms: “I may be the last plane out.”
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
MIT Technology Review · Article
Source details
Original source date: Dec 15, 2025 (2025-12-15T10:00:00Z).
Date basis: Date from the publisher’s own records, through its API.
Added to Escape Meridian: 2026-11-09T14:58:23.209Z. First observed: 2026-11-02T00:01:37.229Z. Retrieved: 2026-11-02T00:03:19.993Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
Text as retrieved on November 2, 2026; originally published December 15, 2025. The article reports results and interviewees’ views; those results and views do not establish how AI will affect legal work or employment across the profession. The article says the effects on the legal profession’s labor market remain uncertain.
Open question
As AI takes on some associate work, how will law firms provide the repetitive training junior lawyers have traditionally gained through that work?
Source-stated
MIT Technology Review reports that legal AI tools are being used for routine tasks, while lawyers interviewed say the tools fall short on complex and novel legal questions.
when he turns to ChatGPT with a complex legal question, he finds the chatbot spewing hallucinations, rambling off topic, or drawing a blank.
Source-stated
The article argues that success on a standardized test does not establish that a model can practice law, including exercising strategic judgment in complicated realities.
passing a standardized test isn’t the same as practicing law.
Source-stated
The article reports that a professional benchmark found gaps in model reliability for professional adoption; the best-performing model scored only 37% on its most difficult legal problems.
the best-performing model scoring only 37% on the most difficult legal problems
Source-stated
The article says labor statistics had yet to show lawyers being displaced, while describing possible institutional barriers to AI deployment.
labor statistics have yet to show that lawyers are being displaced.
Source-stated
The article reports that Ethan Mollick says firms may need a more formal way of teaching if junior work dries up.
When junior work dries up, you have to have a more formal way of teaching than hoping that an apprenticeship works,
Source-stated
The article reports that Zach Couger appreciates AI help with contract review but worries that he is missing practice senior attorneys received.
I’m worried that I’m not getting the same reps that senior attorneys got,
Source and contributor context
MIT Technology Review · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Benchmark
A defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Ethan Mollick
Ethan Mollick is a Wharton researcher and author exploring how AI changes work, learning and decision-making.
Editorial provenance
Version 1. Publication ID: 4f2feb08-b9ff-161d-f805-7a6538f72292.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-09T14:53:39.350Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: ac81ec0509fbc528a3b8d5e96583081652dc63475d35d84b768a4e885129efab. Source text hash: 5e6e2013d4daa4bbc1fdb8d47c190fb6337c75fd6df744c03766808643315854.
Revision and source-check history
Version 1 · 2026-11-09T14:58:23.209Z
MIT Technology Review reports that AI may not replace lawyers soon
MIT Technology Review’s article, published December 15, 2025, argues that AI is changing some legal work but may not replace lawyers anytime soon. It contrasts expectations raised by legal test results and automation forecasts with lawyers’ accounts of tools that struggle with case citations, ambiguous law and novel questions. The article argues that passing a standardized test is not the same as practicing law, which can require strategic judgment and arguments in unfamiliar situations. Professional also find limitations, though the article notes that they may not capture the hardest work lawyers do. The case is not only about model capability: liability, regulation, clients wanting a human responsible, and firms’ reliance on billable hours may also affect deployment. The article reports that labor statistics had yet to show lawyers being displaced, while noting that AI may affect entry-level work and that future labor-market effects are uncertain. It also raises a training concern: says firms may need more formal teaching if junior work dries up. Junior associate Zach Couger values AI help with contracts but worries he is missing the repetitive practice senior attorneys received. He wonders whether he could be among the last class of associates at big law firms: “I may be the last plane out.”
Original source
MIT Technology Review · Article
Source details
Original source date: Dec 15, 2025 (2025-12-15T10:00:00Z).
Date basis: Date from the publisher’s own records, through its API.
Added to Escape Meridian: 2026-11-09T14:58:23.209Z. First observed: 2026-11-02T00:01:37.229Z. Retrieved: 2026-11-02T00:03:19.993Z.
Limits
Text as retrieved on November 2, 2026; originally published December 15, 2025. The article reports results and interviewees’ views; those results and views do not establish how AI will affect legal work or employment across the profession. The article says the effects on the legal profession’s labor market remain uncertain.
Open question
As AI takes on some associate work, how will law firms provide the repetitive training junior lawyers have traditionally gained through that work?
Source-stated
MIT Technology Review reports that legal AI tools are being used for routine tasks, while lawyers interviewed say the tools fall short on complex and novel legal questions.
when he turns to ChatGPT with a complex legal question, he finds the chatbot spewing hallucinations, rambling off topic, or drawing a blank.
Source-stated
The article argues that success on a standardized test does not establish that a model can practice law, including exercising strategic judgment in complicated realities.
passing a standardized test isn’t the same as practicing law.
Source-stated
The article reports that a professional benchmark found gaps in model reliability for professional adoption; the best-performing model scored only 37% on its most difficult legal problems.
the best-performing model scoring only 37% on the most difficult legal problems
Source-stated
The article says labor statistics had yet to show lawyers being displaced, while describing possible institutional barriers to AI deployment.
labor statistics have yet to show that lawyers are being displaced.
Source-stated
The article reports that Ethan Mollick says firms may need a more formal way of teaching if junior work dries up.
When junior work dries up, you have to have a more formal way of teaching than hoping that an apprenticeship works,
Source-stated
The article reports that Zach Couger appreciates AI help with contract review but worries that he is missing practice senior attorneys received.
I’m worried that I’m not getting the same reps that senior attorneys got,
Source and contributor context
MIT Technology Review · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Benchmark
A defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Ethan Mollick
Ethan Mollick is a Wharton researcher and author exploring how AI changes work, learning and decision-making.
Editorial provenance
Version 1. Publication ID: 4f2feb08-b9ff-161d-f805-7a6538f72292.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-09T14:53:39.350Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: ac81ec0509fbc528a3b8d5e96583081652dc63475d35d84b768a4e885129efab. Source text hash: 5e6e2013d4daa4bbc1fdb8d47c190fb6337c75fd6df744c03766808643315854.
passed · 2026-11-09T14:53:39.350Z · anthropic/claude-opus-5.5
Publication: 4f2feb08-b9ff-161d-f805-7a6538f72292
attribution — pass: The reading attributes the argument to MIT Technology Review, the publisher named in the evidence. No individual author appears in the text, and the reading names none. Quotations and views are correctly assigned to Ethan Mollick, Zach Couger and the other lawyers and researchers interviewed. The text is a single reported article, not a listing.
“I may be the last plane out.”
summary — pass: The title, summary and question faithfully convey the article's thesis: AI is reshaping routine legal work but is unlikely to replace lawyers soon. They also cover the gap between the bar exam and practice, benchmark limits, institutional barriers, labor data and the training concern. Couger's voice and the 'last plane out' line are preserved. The central term benchmark is defined on the page. Other terms, such as associate and billable hours, are understandable from context. The question follows directly from the Mollick and Couger material.
While AI is reshaping the grunt work of the profession, the end of lawyers may not be arriving anytime soon.
date — pass: The stated date, December 15, 2025, matches the UTC day of evidence.originalPublished and the URL path. The page was modified on 2026-01-05. However, every passage the reading relies on is plainly in the article body. The Deep Dive sidebar contains later-dated items, such as the AlphaGo ten-year piece, but the reading does not use or rely on them. Forecasts are reported as uncertain rather than as outcomes. This is a publisher page, so no archive disclosure is needed.
Capabilities may evolve over time, but that’s a big unknown.
support — pass: Each claim's excerpt is verbatim and supports the claim: routine use alongside complex-question failures, the bar exam versus practice, the 37% benchmark result, labor statistics, Mollick on formal teaching, and Couger on reps. The cited passages are plainly part of the original article body, so the later edit does not cast doubt on them. The summary's points on entry-level effects and institutional barriers are source-stated. The limitations correctly preserve the uncertainty.
Despite early signs that AI is beginning to affect entry-level workers, labor statistics have yet to show that lawyers are being displaced.
media — pass: No media was selected, and no verified media candidates were supplied. The null mediaId is appropriate.
Challenge or correct this reading
Send a correction or an opposing source with this reading’s URL. Disagreement and uncertainty can remain unresolved.
A defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Definition referenceEthan Mollick is a Wharton researcher and author exploring how AI changes work, learning and decision-making.
Explore Ethan MollickA defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Definition referenceA defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Definition referenceEthan Mollick is a Wharton researcher and author exploring how AI changes work, learning and decision-making.
Explore Ethan MollickA defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Definition reference