{"id":162233,"date":"2026-09-03T13:08:26","date_gmt":"2026-09-03T21:08:26","guid":{"rendered":"https:\/\/xira.com\/p\/2026\/09\/03\/doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai\/"},"modified":"2026-09-03T13:08:26","modified_gmt":"2026-09-03T21:08:26","slug":"doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai","status":"publish","type":"post","link":"https:\/\/xira.com\/p\/2026\/09\/03\/doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai\/","title":{"rendered":"DOJ Tells Court AI Training Is Fair Use, Forgets To Mention It\u2019s Negotiating A Stake In OpenAI"},"content":{"rendered":"<p class=\"wp-block-paragraph\">The Justice Department <a href=\"https:\/\/abovethelaw.com\/2026\/09\/doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai\/FLAG-BRIEF-URL\" rel=\"nofollow noopener\" target=\"_blank\">filed a statement of interest<\/a> in the sprawling OpenAI copyright case, declaring the administration\u2019s official position that training a large language model on copyrighted text amounts to fair use. From the DOJ\u2019s perspective, it is indeed a matter of national security that authors and publications receive nothing as reams and reams of their otherwise protected material gets fed into the maw of ChatGPT to build out the weighted text-generation engine to help a high school student finish their book report.<\/p>\n<p class=\"wp-block-paragraph\">The brief is bad, though it stumbles toward the correct legal conclusion. Assuming OpenAI acquired the material legally \u2014 and that <a href=\"https:\/\/www.jurist.org\/news\/2026\/07\/judge-approves-record-1-5-billion-settlement-involving-anthropic\/\" rel=\"nofollow noopener\" target=\"_blank\">hasn\u2019t always been the case with AI training<\/a> \u2014 it should be fair use to train a model, with caveats for making sure the model isn\u2019t spitting back the exact text on the back end like a copying machine. But, since we\u2019re talking about <em>this<\/em> Department of Justice, this is more a case of even a corrupt clock being right twice a day.<\/p>\n<p class=\"wp-block-paragraph\">Remember how the administration and OpenAI have reportedly <a href=\"https:\/\/www.cnn.com\/2026\/07\/02\/business\/openai-trump-stake-intl\" rel=\"nofollow noopener\" target=\"_blank\">discussed handing the federal government a 5 percent equity stake in the company<\/a>? That\u2019s roughly $42.6 billion against the company\u2019s $852 billion valuation. Seems pretty significant in light of the Justice Department swooping into a potentially existential legal battle. The brief opens with \u201cThe Interest Of The United States\u201d and it runs three pages. It declines to mention the prospects of ownership.<\/p>\n<p class=\"wp-block-paragraph\">It does, however, get to national security real fast.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Rules of law that make it significantly more difficult to develop a robust AI industry in the United States therefore threaten national security and give a competitive advantage to foreign adversaries who are not so encumbered.<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">Every AI booster loves to take a hammer to the \u201cin case of emergency, say it\u2019s a matter of national security\u201d glass. There\u2019s no denying the role AI will play in cybersecurity, but the defense of our technology infrastructure does not turn on whether a model is producing a passable tight five. This case started with stand-up comics suing over OpenAI ingesting their sets. If software developers want to fight about training on copyrighted coding that\u2019s one thing, and it could raise genuine issues as to how \u201ctransformative\u201d the output could possibly be given the constraints of programming languages. But to invoke national security in a case where the <em>New York Times<\/em> is hopping mad about purloined restaurant reviews is a joke of a stretch.<\/p>\n<p class=\"wp-block-paragraph\">The brief cites the <a href=\"https:\/\/www.whitehouse.gov\/presidential-actions\/2026\/06\/promoting-advanced-artificial-intelligence-innovation-and-security\" rel=\"nofollow noopener\" target=\"_blank\">White House cybersecurity order<\/a> twice about frontier model benchmarking and CISA directives. The DOJ also commits the administration to protecting \u201cAmerican ingenuity and intellectual property from exploitation and theft.\u201d It will say nothing about protecting artists from exploitation and theft for the rest of the brief.<\/p>\n<p class=\"wp-block-paragraph\">For its claim that LLMs have delivered major research breakthroughs, the United States cites a blog post from OpenAI and a blog post from Anthropic. With all the resources of the federal government behind it, the DOJ could not be bothered to look up any independent verification of the technology\u2019s accomplishments and went with a pair of press releases from the companies with the highest incentive to fudge on this point. <\/p>\n<p class=\"wp-block-paragraph\">This is eye-rollingly frustrating because the government doesn\u2019t need to stoop to these canards to make this point. Courts have spent years taking corporate-approved bats to the fair use pi\u00f1ata, but copyright law includes a fair use exception for the purpose of facilitating greater creative expression. Every dispute like this loves to foreground the creative artist, but these cases rarely reward the artist as much as the mega business holding that artist\u2019s rights. Large corporate rights-holders prefer to lock away the intellectual property interests they manage to extract more and more wealth \u2014 a drive that has reached a zenith in modern digital licensing enshittification, where no matter how much a customer spends on a book or song, the rights-holder will claim it\u2019s merely a license that can be revoked without refund at any moment. But the framers of America\u2019s copyright laws recognized that encouraging ingenuity requires some freedom to copy. <\/p>\n<p class=\"wp-block-paragraph\">To enjoy the protection of the fair use doctrine, the law considers: (1) the purpose and character of the use, including whether the use is of a commercial nature or is for nonprofit educational purposes; (2) the nature of the copyrighted work; (3) the amount and substantiality of the portion used in relation to the copyrighted work as a whole; and, (4) the effect of the use upon the potential market for or value of the copyrighted work. No factor is dispositive, but they all inform a decision on whether the copying is intended to undermine the value of copyrighted work. OpenAI is a commercial enterprise \u2014 non-profit status notwithstanding \u2014 and it\u2019s certainly copying whole works. But it\u2019s doing so to teach an algorithm to guess at the most likely next word in the English language. <\/p>\n<p class=\"wp-block-paragraph\">As long as the model has guardrails against \u201cplease regurgitate one specific training text verbatim\u201d \u2014 which is admittedly a question in this litigation \u2014 training should, in the abstract, be fair use. <\/p>\n<p class=\"wp-block-paragraph\">The Copyright Office reached the opposite conclusion on fair use, which the brief handles in a footnote by observing that the administration if trying to fire the head of the Copyright Office. But Trump hasn\u2019t succeeded on that point, having lost in the D.C. Circuit, and <a href=\"https:\/\/news.bloomberglaw.com\/ip-law\/high-court-lets-stand-order-restoring-copyright-registers-job\" rel=\"nofollow noopener\" target=\"_blank\">losing again at the Supreme Court in June<\/a> when the justices declined to stay her reinstatement. <\/p>\n<p class=\"wp-block-paragraph\">The crux of the DOJ statement is that the Copyright Office and everyone arrayed against the AI companies have misunderstood the risk of substantial similarity by \u201cconflating training (which requires copying of entire works, but no public access) with outputs (which the public may access, but which will often if not always lack substantial similarity).\u201d Which is frustratingly correct. If the plaintiffs\u2019 can show OpenAI producing substantially similar outputs \u2014 outputs that directly copy substantial portions of copyrighted work in a way meant to undermine the market \u2014 then they should lose. But training by itself should be fair use.<\/p>\n<p class=\"wp-block-paragraph\">The statement\u2019s economic argument is sharper, and half right:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">It is not in the public\u2019s interest for the largest technology companies to have an oligopoly on LLM training due to licensing entry barriers that function primarily as large subsidies for old mainstream media companies.<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">It is not in the public\u2019s interest for the largest technology companies to have an oligopoly\u2026 period. <\/p>\n<p class=\"wp-block-paragraph\">The risk of paying licensing fees isn\u2019t the issue. We\u2019ve got an oligopoly because of compute and capital expenditures. Stripping content costs out of the model doesn\u2019t open the door to mom-and-pop LLM labs, it removes a line item from the balance sheets of the existing oligopoly. <\/p>\n<p class=\"wp-block-paragraph\">Reading should be fair use. Publishers don\u2019t like this because they\u2019ve spent the last several years trying to squeeze more and more out of controlling access to their content, but if a company acquires it legally, it should be able to absorb the information for the purpose of teaching a computer how words work. Again. provided the company acquired it legitimately in the first place. <\/p>\n<p class=\"wp-block-paragraph\">Going after AI for training rests on the worldview that all art is on loan. No one can buy a book, they just rent a revocable right to read it. That approach is doing more to stifle the creative arts than any algorithmic training exercise. <\/p>\n<p class=\"wp-block-paragraph\">And it\u2019s already generating absurdities. There\u2019s a social media uproar over AI companies destroying rare books in the training process. Except the only reason they\u2019re doing this is that, under <em>Bartz<\/em>, the tech companies were basically told that gingerly copying a book and returning it to circulation could not be fair use, but that buying a print book, shearing off the spine, scanning it, and pulping the pages would be fair use because one copy replaced one copy. Keeping the book would have been two copies, after all! So Anthropic bought millions of used books and <a href=\"https:\/\/arstechnica.com\/ai\/2025\/06\/anthropic-destroyed-millions-of-print-books-to-build-its-ai-models\/\" rel=\"nofollow noopener\" target=\"_blank\">ran them through hydraulic cutters<\/a>, out-of-print and hard-to-find titles <a href=\"https:\/\/www.theglobeandmail.com\/opinion\/article-ai-companies-destroying-books-anthropic\/\" rel=\"nofollow noopener\" target=\"_blank\">included<\/a>. Destroying rare books should not be the cost of protecting the intellectual property rights of rent-seekers. <\/p>\n<p class=\"wp-block-paragraph\">What sucks about this DOJ statement is not that it\u2019s wrong, but that it\u2019s a cynical, selective intervention for corrupt purposes. The government should be seeking to beef up fair use generally and forging statutory responses to end burdensome digital licensing regimes. Instead, they parachute in to one case solely to offer a financial giveaway to a multibillion dollar company that they intend to take a financial stake in.<\/p>\n<p class=\"wp-block-paragraph\">Again, corrupt clocks are right twice a day.<\/p>\n<p class=\"wp-block-paragraph\"><em>(Statement on the next page\u2026)<\/em><\/p>\n<p class=\"wp-block-paragraph\"><strong>Earlier<\/strong>: <a href=\"https:\/\/abovethelaw.com\/2025\/06\/two-judges-same-district-opposite-conclusions-the-messy-reality-of-ai-training-copyright-cases\/\" rel=\"nofollow noopener\" target=\"_blank\">Two Judges, Same District, Opposite Conclusions: The Messy Reality Of AI Training Copyright Cases<\/a><br \/><a href=\"https:\/\/abovethelaw.com\/2025\/12\/trump-ai-regulation-order-hallucinates-more-fake-law-than-any-ai\/\" rel=\"nofollow noopener\" target=\"_blank\">Trump AI Regulation Order Hallucinates More Fake Law Than Any AI<\/a><\/p>\n<hr>\n<p><strong><em><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-443318\" src=\"https:\/\/i0.wp.com\/abovethelaw.com\/wp-content\/uploads\/sites\/4\/2016\/11\/Headshot-300x200.jpg?resize=192%2C128&#038;ssl=1\" alt=\"Headshot\" width=\"192\" height=\"128\" title=\"\"><a href=\"http:\/\/abovethelaw.com\/author\/joe-patrice\/\" target=\"_blank\" rel=\"noopener nofollow\">Joe Patrice<\/a>\u00a0is a senior editor at Above the Law and co-host of <a href=\"http:\/\/legaltalknetwork.com\/podcasts\/thinking-like-a-lawyer\/\" target=\"_blank\" rel=\"noopener nofollow\">Thinking Like A Lawyer<\/a>. Feel free to\u00a0<a href=\"mailto:joepatrice@abovethelaw.com\">email<\/a> any tips, questions, or comments. Follow him on\u00a0<a href=\"https:\/\/twitter.com\/josephpatrice\" target=\"_blank\" rel=\"noopener nofollow\">Twitter<\/a>\u00a0or <a href=\"https:\/\/bsky.app\/profile\/joepatrice.bsky.social\" rel=\"noopener nofollow\" target=\"_blank\">Bluesky<\/a> if you\u2019re interested in law, politics, and a healthy dose of college sports news.<\/em><\/strong><\/p>\n<p>The post <a href=\"https:\/\/abovethelaw.com\/2026\/09\/doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai\/\" rel=\"nofollow noopener\" target=\"_blank\">DOJ Tells Court AI Training Is Fair Use, Forgets To Mention It\u2019s Negotiating A Stake In OpenAI<\/a> appeared first on <a href=\"https:\/\/abovethelaw.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Above the Law<\/a>.<\/p>\n<figure class=\"post-single__featured-image post-single__featured-image--medium alignright\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/i0.wp.com\/abovethelaw.com\/wp-content\/uploads\/sites\/4\/2026\/09\/GettyImages-2204783532-300x200.jpg?resize=300%2C200&#038;ssl=1\" class=\"attachment-medium size-medium wp-post-image\" alt=\"\" title=\"\"><\/figure>\n<p class=\"wp-block-paragraph\">The Justice Department <a href=\"https:\/\/abovethelaw.com\/2026\/09\/doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai\/FLAG-BRIEF-URL\" rel=\"nofollow noopener\" target=\"_blank\">filed a statement of interest<\/a> in the sprawling OpenAI copyright case, declaring the administration\u2019s official position that training a large language model on copyrighted text amounts to fair use. From the DOJ\u2019s perspective, it is indeed a matter of national security that authors and publications receive nothing as reams and reams of their otherwise protected material gets fed into the maw of ChatGPT to build out the weighted text-generation engine to help a high school student finish their book report.<\/p>\n<p class=\"wp-block-paragraph\">The brief is bad, though it stumbles toward the correct legal conclusion. Assuming OpenAI acquired the material legally \u2014 and that <a href=\"https:\/\/www.jurist.org\/news\/2026\/07\/judge-approves-record-1-5-billion-settlement-involving-anthropic\/\" rel=\"nofollow noopener\" target=\"_blank\">hasn\u2019t always been the case with AI training<\/a> \u2014 it should be fair use to train a model, with caveats for making sure the model isn\u2019t spitting back the exact text on the back end like a copying machine. But, since we\u2019re talking about <em>this<\/em> Department of Justice, this is more a case of even a corrupt clock being right twice a day.<\/p>\n<p class=\"wp-block-paragraph\">Remember how the administration and OpenAI have reportedly <a href=\"https:\/\/www.cnn.com\/2026\/07\/02\/business\/openai-trump-stake-intl\" rel=\"nofollow noopener\" target=\"_blank\">discussed handing the federal government a 5 percent equity stake in the company<\/a>? That\u2019s roughly $42.6 billion against the company\u2019s $852 billion valuation. Seems pretty significant in light of the Justice Department swooping into a potentially existential legal battle. The brief opens with \u201cThe Interest Of The United States\u201d and it runs three pages. It declines to mention the prospects of ownership.<\/p>\n<p class=\"wp-block-paragraph\">It does, however, get to national security real fast.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Rules of law that make it significantly more difficult to develop a robust AI industry in the United States therefore threaten national security and give a competitive advantage to foreign adversaries who are not so encumbered.<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">Every AI booster loves to take a hammer to the \u201cin case of emergency, say it\u2019s a matter of national security\u201d glass. There\u2019s no denying the role AI will play in cybersecurity, but the defense of our technology infrastructure does not turn on whether a model is producing a passable tight five. This case started with stand-up comics suing over OpenAI ingesting their sets. If software developers want to fight about training on copyrighted coding that\u2019s one thing, and it could raise genuine issues as to how \u201ctransformative\u201d the output could possibly be given the constraints of programming languages. But to invoke national security in a case where the <em>New York Times<\/em> is hopping mad about purloined restaurant reviews is a joke of a stretch.<\/p>\n<p class=\"wp-block-paragraph\">The brief cites the <a href=\"https:\/\/www.whitehouse.gov\/presidential-actions\/2026\/06\/promoting-advanced-artificial-intelligence-innovation-and-security\" rel=\"nofollow noopener\" target=\"_blank\">White House cybersecurity order<\/a> twice about frontier model benchmarking and CISA directives. The DOJ also commits the administration to protecting \u201cAmerican ingenuity and intellectual property from exploitation and theft.\u201d It will say nothing about protecting artists from exploitation and theft for the rest of the brief.<\/p>\n<p class=\"wp-block-paragraph\">For its claim that LLMs have delivered major research breakthroughs, the United States cites a blog post from OpenAI and a blog post from Anthropic. With all the resources of the federal government behind it, the DOJ could not be bothered to look up any independent verification of the technology\u2019s accomplishments and went with a pair of press releases from the companies with the highest incentive to fudge on this point. <\/p>\n<p class=\"wp-block-paragraph\">This is eye-rollingly frustrating because the government doesn\u2019t need to stoop to these canards to make this point. Courts have spent years taking corporate-approved bats to the fair use pi\u00f1ata, but copyright law includes a fair use exception for the purpose of facilitating greater creative expression. Every dispute like this loves to foreground the creative artist, but these cases rarely reward the artist as much as the mega business holding that artist\u2019s rights. Large corporate rights-holders prefer to lock away the intellectual property interests they manage to extract more and more wealth \u2014 a drive that has reached a zenith in modern digital licensing enshittification, where no matter how much a customer spends on a book or song, the rights-holder will claim it\u2019s merely a license that can be revoked without refund at any moment. But the framers of America\u2019s copyright laws recognized that encouraging ingenuity requires some freedom to copy. <\/p>\n<p class=\"wp-block-paragraph\">To enjoy the protection of the fair use doctrine, the law considers: (1) the purpose and character of the use, including whether the use is of a commercial nature or is for nonprofit educational purposes; (2) the nature of the copyrighted work; (3) the amount and substantiality of the portion used in relation to the copyrighted work as a whole; and, (4) the effect of the use upon the potential market for or value of the copyrighted work. No factor is dispositive, but they all inform a decision on whether the copying is intended to undermine the value of copyrighted work. OpenAI is a commercial enterprise \u2014 non-profit status notwithstanding \u2014 and it\u2019s certainly copying whole works. But it\u2019s doing so to teach an algorithm to guess at the most likely next word in the English language. <\/p>\n<p class=\"wp-block-paragraph\">As long as the model has guardrails against \u201cplease regurgitate one specific training text verbatim\u201d \u2014 which is admittedly a question in this litigation \u2014 training should, in the abstract, be fair use. <\/p>\n<p class=\"wp-block-paragraph\">The Copyright Office reached the opposite conclusion on fair use, which the brief handles in a footnote by observing that the administration if trying to fire the head of the Copyright Office. But Trump hasn\u2019t succeeded on that point, having lost in the D.C. Circuit, and <a href=\"https:\/\/news.bloomberglaw.com\/ip-law\/high-court-lets-stand-order-restoring-copyright-registers-job\" rel=\"nofollow noopener\" target=\"_blank\">losing again at the Supreme Court in June<\/a> when the justices declined to stay her reinstatement. <\/p>\n<p class=\"wp-block-paragraph\">The crux of the DOJ statement is that the Copyright Office and everyone arrayed against the AI companies have misunderstood the risk of substantial similarity by \u201cconflating training (which requires copying of entire works, but no public access) with outputs (which the public may access, but which will often if not always lack substantial similarity).\u201d Which is frustratingly correct. If the plaintiffs\u2019 can show OpenAI producing substantially similar outputs \u2014 outputs that directly copy substantial portions of copyrighted work in a way meant to undermine the market \u2014 then they should lose. But training by itself should be fair use.<\/p>\n<p class=\"wp-block-paragraph\">The statement\u2019s economic argument is sharper, and half right:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">It is not in the public\u2019s interest for the largest technology companies to have an oligopoly on LLM training due to licensing entry barriers that function primarily as large subsidies for old mainstream media companies.<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">It is not in the public\u2019s interest for the largest technology companies to have an oligopoly\u2026 period. <\/p>\n<p class=\"wp-block-paragraph\">The risk of paying licensing fees isn\u2019t the issue. We\u2019ve got an oligopoly because of compute and capital expenditures. Stripping content costs out of the model doesn\u2019t open the door to mom-and-pop LLM labs, it removes a line item from the balance sheets of the existing oligopoly. <\/p>\n<p class=\"wp-block-paragraph\">Reading should be fair use. Publishers don\u2019t like this because they\u2019ve spent the last several years trying to squeeze more and more out of controlling access to their content, but if a company acquires it legally, it should be able to absorb the information for the purpose of teaching a computer how words work. Again. provided the company acquired it legitimately in the first place. <\/p>\n<p class=\"wp-block-paragraph\">Going after AI for training rests on the worldview that all art is on loan. No one can buy a book, they just rent a revocable right to read it. That approach is doing more to stifle the creative arts than any algorithmic training exercise. <\/p>\n<p class=\"wp-block-paragraph\">And it\u2019s already generating absurdities. There\u2019s a social media uproar over AI companies destroying rare books in the training process. Except the only reason they\u2019re doing this is that, under <em>Bartz<\/em>, the tech companies were basically told that gingerly copying a book and returning it to circulation could not be fair use, but that buying a print book, shearing off the spine, scanning it, and pulping the pages would be fair use because one copy replaced one copy. Keeping the book would have been two copies, after all! So Anthropic bought millions of used books and <a href=\"https:\/\/arstechnica.com\/ai\/2025\/06\/anthropic-destroyed-millions-of-print-books-to-build-its-ai-models\/\" rel=\"nofollow noopener\" target=\"_blank\">ran them through hydraulic cutters<\/a>, out-of-print and hard-to-find titles <a href=\"https:\/\/www.theglobeandmail.com\/opinion\/article-ai-companies-destroying-books-anthropic\/\" rel=\"nofollow noopener\" target=\"_blank\">included<\/a>. Destroying rare books should not be the cost of protecting the intellectual property rights of rent-seekers. <\/p>\n<p class=\"wp-block-paragraph\">What sucks about this DOJ statement is not that it\u2019s wrong, but that it\u2019s a cynical, selective intervention for corrupt purposes. The government should be seeking to beef up fair use generally and forging statutory responses to end burdensome digital licensing regimes. Instead, they parachute in to one case solely to offer a financial giveaway to a multibillion dollar company that they intend to take a financial stake in.<\/p>\n<p class=\"wp-block-paragraph\">Again, corrupt clocks are right twice a day.<\/p>\n<p class=\"wp-block-paragraph\"><em>(Statement on the next page\u2026)<\/em><\/p>\n<p class=\"wp-block-paragraph\"><strong>Earlier<\/strong>: <a href=\"https:\/\/abovethelaw.com\/2025\/06\/two-judges-same-district-opposite-conclusions-the-messy-reality-of-ai-training-copyright-cases\/\" rel=\"nofollow noopener\" target=\"_blank\">Two Judges, Same District, Opposite Conclusions: The Messy Reality Of AI Training Copyright Cases<\/a><br \/><a href=\"https:\/\/abovethelaw.com\/2025\/12\/trump-ai-regulation-order-hallucinates-more-fake-law-than-any-ai\/\" rel=\"nofollow noopener\" target=\"_blank\">Trump AI Regulation Order Hallucinates More Fake Law Than Any AI<\/a><\/p>\n<hr \/>\n<p><strong><em><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"alignright  wp-image-443318\" src=\"https:\/\/i0.wp.com\/abovethelaw.com\/wp-content\/uploads\/2016\/11\/Headshot-300x200.jpg?resize=188%2C125&#038;ssl=1\" alt=\"Headshot\" width=\"188\" height=\"125\" title=\"\"><a href=\"http:\/\/abovethelaw.com\/author\/joe-patrice\/\" target=\"_blank\" rel=\"noopener nofollow\">Joe Patrice<\/a>\u00a0is a senior editor at Above the Law and co-host of <a href=\"http:\/\/legaltalknetwork.com\/podcasts\/thinking-like-a-lawyer\/\" target=\"_blank\" rel=\"noopener nofollow\">Thinking Like A Lawyer<\/a>. Feel free to\u00a0<a href=\"https:\/\/abovethelaw.com\/cdn-cgi\/l\/email-protection#b5dfdad0c5d4c1c7dcd6d0f5d4d7dac3d0c1ddd0d9d4c29bd6dad8\" rel=\"nofollow noopener\" target=\"_blank\">email<\/a> any tips, questions, or comments. Follow him on\u00a0<a href=\"https:\/\/twitter.com\/josephpatrice\" target=\"_blank\" rel=\"noopener nofollow\">Twitter<\/a>\u00a0or <a href=\"https:\/\/bsky.app\/profile\/joepatrice.bsky.social\" rel=\"noopener nofollow\" target=\"_blank\">Bluesky<\/a> if you\u2019re interested in law, politics, and a healthy dose of college sports news.<\/em><\/strong><\/p>\n<p><strong>1<\/strong> <a href=\"https:\/\/abovethelaw.com\/2026\/09\/doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai\/2\/\" rel=\"nofollow noopener\" target=\"_blank\">2<\/a><a href=\"https:\/\/abovethelaw.com\/2026\/09\/doj-tells-court-ai-training-is-fair-use-forgets-to-mention-its-negotiating-a-stake-in-openai\/2\/\" rel=\"nofollow noopener\" target=\"_blank\">Next \u00bb<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Justice Department filed a statement of interest in the sprawling OpenAI copyright case, declaring the administration\u2019s official position that training a large language model on copyrighted text amounts to fair use. From the DOJ\u2019s perspective, it is indeed a matter of national security that authors and publications receive nothing as reams and reams of [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":162234,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-162233","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-above_the_law"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/i0.wp.com\/xira.com\/p\/wp-content\/uploads\/2026\/09\/Headshot-300x200-D84GeS.jpg?fit=300%2C200&ssl=1","_links":{"self":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts\/162233","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/comments?post=162233"}],"version-history":[{"count":0,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/posts\/162233\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/media\/162234"}],"wp:attachment":[{"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/media?parent=162233"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/categories?post=162233"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xira.com\/p\/wp-json\/wp\/v2\/tags?post=162233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}