Illustration for: DOJ Tells Court AI Training Is Fair Use

DOJ Tells Court AI Training Is Fair Use

The Justice Department filed a statement of interest backing OpenAI's fair-use defense in the New York Times' copyright lawsuit, the first time the federal government has formally staked a position in the wave of AI training-data cases.

By the Numbers

20 pages
Brief length
Sept 1, 2026
Filed
SDNY
Court
NYT v. OpenAI/MSFT
Case
Non-binding
Legal weight
TC
By the Markets Desk
Edited by Trace Cohen ยท Early-stage VC & angel ยท Founder, New York Venture Partners
3 min read
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THE RUNDOWN

1

This is the first time the federal government has formally staked a position in the wave of AI copyright suits -- Sony and Warner Chappell's suit against Anthropic, the authors' cases, and now the Times' case are all being watched against the same fair-use question the DOJ just weighed in on.

2

The DOJ's core argument -- that training sufficiently transforms copyrighted text into new material protected as fair use, and that AI development is a national-security interest -- gives OpenAI's motion to dismiss federal backing without any binding legal weight.

3

A statement of interest doesn't bind the judge, but it signals executive-branch posture heading into a period when the same fair-use question will be litigated across the Anthropic music-publisher suit, the authors' cases, and future training-data disputes.

4

The brief lands the same week Sony and Warner Chappell sued Anthropic personally over song lyrics -- a case where a favorable fair-use ruling for OpenAI could become directly citable by Anthropic's own defense.

TC

The VC Read ยท Trace's Take

Trace Cohen

The DOJ dressing a national-competitiveness argument in fair-use language is the tell that this brief is policy, not law -- Judge Stein can and should weigh the four-factor test on its own terms, and a non-binding statement of interest doesn't change the actual legal standard. The diligence-relevant fact for anyone with AI-copyright exposure in a portfolio: this ruling, whenever it lands, will get cited in the Anthropic-Sony case regardless of outcome, but Anthropic's torrenting allegations are a different fact pattern than OpenAI's broad-crawl training -- don't assume one ruling clears both.

Analysis

The US Department of Justice filed a 20-page statement of interest on Tuesday backing OpenAI's fair-use defense in The New York Times' copyright lawsuit, telling US District Judge Sidney Stein in the Southern District of New York that training large language models on copyrighted text "sufficiently transforms" the material into new, differently purposed output protected under fair use, TechCrunch reported. It's the first time the federal government has formally staked a position in the growing set of copyright suits against AI developers, the Washington Post reported.

What the DOJ Actually Argued

A statement of interest is a specific, limited legal tool: federal agencies use it to put the government's position on the court record in a case where it isn't itself a party, without becoming bound by or a defendant in the outcome. It carries no binding legal weight -- Judge Stein is free to disregard it entirely -- but it signals the executive branch's posture on a question that will recur across every other AI copyright case now working through federal courts.

โ€œ## Why This Ripples Beyond One Case The timing lands squarely in the middle of Pulse's ongoing coverage of AI copyright litigation.โ€

The DOJ's argument has two parts. The narrower, more conventional one is a fair-use claim: training transforms copyrighted works into a fundamentally different kind of output, the same argument OpenAI and Microsoft have made in their own motion to dismiss. The broader, more unusual one is explicitly geopolitical: the brief argues "the United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the practice and procedure of AI use globally," and that "constraining LLM development under a misunderstanding of fair use doctrine would thwart" creative and scientific progress. That's an argument about industrial policy dressed in copyright-law language -- the DOJ is saying not only that OpenAI's use is legally fair, but that a ruling against OpenAI would hurt American competitiveness against Chinese AI labs, a claim that has little to do with the four-factor fair-use test itself.

Why This Ripples Beyond One Case

The timing lands squarely in the middle of Pulse's ongoing coverage of AI copyright litigation. Sony Music Publishing and Warner Chappell sued Anthropic and its founders personally last week, seeking up to $150,000 per song and alleging Anthropic scraped and torrented lyrics from shadow libraries. Anthropic's defense will likely lean on the same fair-use framework the DOJ just endorsed for OpenAI -- a favorable outcome in the Times case, even a non-binding one, becomes a citable data point for every other AI defendant's motion to dismiss.

The Times has criticized the DOJ's intervention, and press advocates have noted the awkwardness of the federal government siding with a company -- OpenAI, in which Microsoft holds a large stake -- against one of the country's largest news organizations in an active lawsuit. Anthropic's own case is legally distinguishable in a way that matters: the publishers there allege deliberate torrenting from piracy sites rather than incidental inclusion in a broad training crawl, the same sourcing distinction that undercut Anthropic's defense in its $1.5 billion authors' settlement last year. A favorable fair-use ruling on the transformation question doesn't resolve the separate legal question of whether the underlying acquisition method was itself unlawful.

What happens next: Judge Stein hasn't ruled on OpenAI's motion to dismiss, and there's no fixed timeline. Every other AI copyright case now has one more data point to argue from, in whichever direction the eventual ruling breaks.

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Key Sources

3 sources

Reported by TechCrunch ยท First reported by TechCrunch ยท Analysis by Value Add Pulse.

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