Generative-AI: The Top 12 Lawsuits

Artificial intelligence (“AI”) is generating more than content; it is generating lawsuits. Here is a brief chronology of what I believe are the most significant lawsuits that have been filed so far.

Artificial intelligence (“AI”) is generating more than content; it is generating lawsuits. Here is a brief chronology of what I believe are some of the most significant lawsuits that have been filed so far.

Prompt asking ChatGPT to write a blog post in style of Thomas B  James

Most of these allege copyright infringement, but some make additional or other kinds of claims, such as trademark, privacy or publicity right violations, defamation, unfair competition, and breach of contract, among others. So far, the suits primarily target the developers and purveyors of generative AI chatbots and similar technology. They focus more on what I call “input infringement” than on “output infringement.” That is to say, they allege that copyright infringement is involved in the way particular AI tools are trained.

Thomson Reuters Enterprise Centre GmbH et al. v. ROSS Intelligence, Inc.

Thomson Reuters Enterprise Centre GmbH et al. v. ROSS Intelligence Inc., No. 20-cv-613 (D. Del. 2020)

Thomson Reuters alleges that ROSS Intelligence copied its Westlaw database without permission and used it to train a competing AI-driven legal research platform. In defense, ROSS has asserted that it only copied ideas and facts from the Westlaw database of legal research materials. (Facts and ideas are not protected by copyright.) ROSS also argues that its use of content in the Westlaw database is fair use.

One difference between this case and subsequent generative-AI copyright infringement cases is that the defendant in this case is alleged to have induced a third party with a Westlaw license to obtain allegedly proprietary content for the defendant after the defendant had been denied a license of its own. Other cases involve generative AI technologies that operate by scraping publicly available content.

Update: The court has now issued a fair use decision in Thomson Reuters v. ROSS Intelligence. After reviewing the headnotes and comparing them with the database materials, Judge Bilbas concluded that 2,243 headnotes were sufficiently creative and original to receive copyright protection, that Ross infringed them, and that “fair use” was not a defense in this instance because the purpose of the use was commercial and it competed in the same market. This decision might have limited value as a precedent, since it involved non-generative AI. Generative AI tools may be distinguishable in the fair use analysis. The district court approved Ross’s motion for interlocutory appeal. The case is under review by the Third Circuit Court of Appeals.

Doe 1 et al. v. GitHub, Inc. et al.

Doe 1 et al. v. GitHub, Inc. et al., No. 22-cv-06823 (N.D. Calif. November 3, 2022)

This is a class action lawsuit against GitHub, Microsoft, and OpenAI that was filed in November, 2022. It involves GitHub’s CoPilot, an AI-powered tool that suggests lines of programming code based on what a programmer has written. The complaint alleges that Copilot copies code from publicly available software repositories without complying with the terms of applicable open-source licenses. The complaint also alleges removal of copyright management information in violation of 17 U.S.C. § 1202, unfair competition, and other tort claims.

Updates: The court dismissed most of the plaintiffs’ claims, but allowed them to proceed with claims for breach of open-source licenses and granted leave to amend the DMCA claims in the complaint.

Plaintiffs filed an amended complaint. The court, however, dismissed the DMCA claim, reasoning that the statute imposes an “identicality” standard (i.e., the AI’s output must be an exact, literal copy of the plaintiff’s work). Because plaintiffs alleged that Copilot’s outputs often generate modified versions of their original code rather than strict identical copies, the court dismissed the claim.

Judge Tigar certified the question whether identicality is required for interlocutory appeal to the Ninth Circuit Court of Appeals

Andersen et al. v. Stability AI et al.

Andersen et al. v. Stability AI et al., No. 23-cv-00201 (N.D. Calif. Jan. 13, 2023)

  • Update: As noted in my first update on Anderson v. Stability, Judge Orrick dismissed all claims except for Andersen’s direct infringement claim against Stability. Most of the dismissals, however, were granted with leave to amend.

Trial is scheduled for 2027.

Getty Images v. Stability AI

Plaintiffs filed an amended complaint, having secured proper copyright registrations for the underlying art. Defendants filed a motion to dismiss it. The court denied the motion. The ruling on the motion suggests that copied images scraped into the training datasets can constitute direct infringement, and that AI models may inherently constitute a continuous, new form of infringing materials. The court also allowed the artists’ claims regarding false endorsement and trade-dress infringement to proceed. These claims address AI tools mimicking an artist’s name and style.

Getty Images v. Stability AI, No. 23-cv-00135-UNA (D. Del. February 23, 2023)

Getty Images has filed two lawsuits against Stability AI, one in the United Kingdom and one in the United States, each alleging both input and output copyright infringement. Getty Images owns the rights to millions of images. It is in the business of licensing rights to use copies of the images to others. The lawsuit also accuses Stability AI of falsifying, removing or altering copyright management information, trademark infringement, trademark dilution, unfair competition, and deceptive trade practices.

Stability AI has moved to dismiss the complaint filed in the U.S. for lack of jurisdiction.

Updates: Getty voluntarily dismissed the Delaware case and refiled the lawsuit in the U.S. District Court for the Northern District of California. Getty Images v. Stability AI, No. 3:25-cv-06891 (N.D. Calif. 2025).

In 2026, Judge Thompson dismissed the DMCA claim, but allowed claims for direct copyright infringement, trademark violation, and unfair competition to proceed.

Getty Images dropped the input-infringement copyright claim that it had filed in the U.K., primarily because it could not definitively prove where the model was trained (i.e., whether it was inside or outside the UK).

The UK court rejected Getty Images’s argument that the Stable Diffusion software itself was an “infringing copy” of an article imported into the UK. The court ruled that AI model weights are not copies; they are abstract statistical parameters that do not store or reproduce actual images.

Getty Images prevailed on trademark claims in the U.K., however.

Flora et al. v. Prisma Labs, Inc.

Flora et al. v. Prisma Labs, Inc., No. 23-cv-00680 (N.D. Calif. February 15, 2023)

Jack Flora and others filed a class action lawsuit against Prisma Labs for invasion of privacy. The complaint alleges, among other things, that the defendant’s Lensa app generates sexualized images from images of fully-clothed people, and that the company failed to notify users about the biometric data it collects and how it will be stored and/or destroyed, in violation of Illinois’s data privacy laws.

Update: The court granted a motion to compel arbitration.

Young v. NeoCortext, Inc.

Young v. NeoCortext, Inc., 2023-cv-02496 (C.D. Calif. April 3, 2023)

This is a publicity rights case. NeoCortext’s Reface app allows users to paste images of their own faces over those of celebrities in photographs and videos. Kyland Young, a former cast member of the Big Brother reality television show, has sued NeoCortext for allegedly violating his publicity rights. The complaint alleges that NeoCortext has “commercially exploit[ed] his and thousands of other actors, musicians, athletes, celebrities, and other well-known individuals’ names, voices, photographs, or likenesses to sell paid subscriptions to its smartphone application, Refacewithout their permission.”

NeoCortext has asserted a First Amendment defense, among others.

Update: U.S. District Judge Wesley L. Hsu denied NeoCortext’s motion to dismiss. Judge Hsu ruled that Young’s right of publicity claim was not preempted by the Copyright Act because he was seeking to vindicate the misuse of his personal likeness, not just the distribution of copyrighted images. The app’s face-swapping capabilities did not qualify as a “transformative use” defense as a matter of law at the dismissal stage.

Walters v. OpenAI, LLC

Walters v. OpenAI, LLC, No. 2023-cv-03122 (N.D. Ga. July 14, 2023) (Complaint originally filed in Gwinnett County, Georgia Superior Court on June 5, 2023; subsequently removed to federal court)

This is a defamation action against OpenAI, the company responsible for ChatGPT. The lawsuit was brought by Mark Walters. He alleges that ChatGPT provided false and defamatory misinformation about him to journalist Fred Riehl in connection with a federal civil rights lawsuit against Washington Attorney General Bob Ferguson and members of his staff. ChatGPT allegedly stated that the lawsuit was one for fraud and embezzlement on the part of Mr. Walters. The complaint alleges that Mr. Walters was “neither a plaintiff nor a defendant in the lawsuit,” and “every statement of fact” pertaining to him in the summary of the federal lawsuit that ChatGPT prepared is false. A New York court recently addressed the questions of sanctions for attorneys who submit briefs containing citations to non-existent “precedents” that were entirely made up by ChatGPT. This is the first case to address tort liability for ChatGPT’s notorious creation of “hallucinatory facts.”

In July, 2023, Jeffery Battle filed a complaint against Microsoft in Maryland alleging that he, too, has been defamed as a result of AI-generated “hallucinatory facts.” Battle v. Microsoft.

Update on Walters v. OpenAI, LLC: In 2025, the court granted summary judgment in favor of OpenAI, on three grounds:

  • No Factual Statement: The court ruled that a reasonable reader would not interpret the ChatGPT output as stating actual facts. This was heavily influenced by the AI’s internal disclaimers, its warning to the user that it lacked access to the referenced document, and the user’s own admission that he quickly verified the claim was false.
  • No Fault or Malice: To win a defamation claim as a public figure, Walters needed to prove OpenAI acted with negligent disregard for truth or “actual malice.” The court found he failed to provide evidence of either. OpenAI successfully argued that it leads the AI industry in reducing such “hallucinations” through training and human feedback.
  • Lack of Damages: The court noted Walters did not suffer provable damages or ask OpenAI for a retraction before filing, making him ineligible to recover the punitive or presumed damages he sought.

P.M. et al. v. OpenAI LP et al.

P.M. et al. v. OpenAI LP et al., No. 2023-cv-03199 (N.D. Calif. June 28, 2023)

This lawsuit has been brought by underage individuals against OpenAI and Microsoft. The complaint alleges the defendants’ generative-AI products ChatGPT, Dall-E and Vall-E collect private and personally identifiable information from children without their knowledge or informed consent. The complaint sets out claims for alleged violations of the Electronic Communications Privacy Act; the Computer Fraud and Abuse Act; California’s Invasion of Privacy Act and unfair competition law; Illinois’s Biometric Information Privacy Act, Consumer Fraud and Deceptive Business Practices Act, and Consumer Fraud and Deceptive Business Practices Act; New York General Business Law § 349 (deceptive trade practices); and negligence, invasion of privacy, conversion, unjust enrichment, and breach of duty to warn.

Update: Plaintiffs filed a voluntary dismissal.

Tremblay v. OpenAI, Inc.

Tremblay v. OpenAI, Inc., No. 23-cv-03223 (N.D. Calif. June 28, 2023)

Another copyright infringement lawsuit against OpenAI relating to its ChatGPT tool. In this one, authors allege that ChatGPT is trained on the text of books they and other proposed class members authored, and facilitates output copyright infringement. The complaint sets forth claims of copyright infringement, DMCA violations, and unfair competition.

Updates: The court dismissed claims of vicarious copyright infringement, Digital Millennium Copyright Act (DMCA) violations, negligence, and unjust enrichment. Claims for direct copyright infringement of the input kind, and unfair trade practices, survived.

The Judicial Panel on Multidistrict Litigation centralized dozens of AI copyright lawsuits against OpenAI into a single venue: U.S. District Court for the Southern District of New York under Judge Sidney H. Stein. In Re OpenAI, Inc. Copyright Infringement Litigation. Tremblay is included in this consolidation.

Silverman et al. v. OpenAI

Silverman et al. v. OpenAI, No. 23-cv-03416 (N.D. Calif. July 7, 2023)

Sarah Silverman (comedian/actress/writer) and others allege that OpenAI, by using copyright-protected works without permission to train ChatGPT, committed direct and vicarious copyright infringement, violated section 17 U.S.C. 1202(b), and their rights under unfair competition, negligence, and unjust enrichment law.

Updates: In February 2024, U.S. District Judge Araceli Martínez-Olguín issued a joint ruling covering both the Tremblay and Silverman motions to dismiss. The court dismissed claims of vicarious copyright infringement, negligence, and unjust enrichment, but allowed the input infringement claim to proceed. OpenAI did not contest that using the plaintiffs’ books to train its Large Language Models (LLMs) required a “fair use” determination

On June 25, 2025 Judge Chhabria issued a ruling on fair use. The court granted Meta’s motion for summary judgment on fair use with respect to AI training; reserved the motion for summary judgment on the DMCA claims for decision in a separate order, and held that the claim of infringing distribution via leeching or seeding “will remain a live issue in the case.”

The case has been consolidated into the broader Multidistrict Litigation (MDL) pending in the Southern District of New York.

Kadrey et al. v. Meta Platforms

Kadrey et al. v. Meta Platforms, No. 2023-cv-03417 (N.D. Calif. July 7, 2023)

The same general kinds of allegations as are made in Silverman v. OpenAI, but this time against Meta Platforms, Inc.

Update: There has been a ruling in Kadrey v. Meta Platforms.

J.L. et al. v. Alphabet Inc. et al.

J.L. et al. v. Alphabet Inc. et al. (N.D. Calif. July 11, 2023)

This is a lawsuit against Google and its owner Alphabet, Inc. for allegedly scraping and harvesting private and personal user information, copyright-protected works, and emails, without notice or consent. The complaint alleges claims for invasion of privacy, unfair competition, negligence, copyright infringement, and other causes of action.

Update: Plaintiffs voluntarily dismissed defendants Alphabet Inc. and Google DeepMind. Google LLC remains the sole defendant, and the litigation—now tracked as In re Google Generative AI Copyright Litigation—is proceeding.

On the regulatory front

The U.S. Copyright Office is examining the problems associated with registering copyrights in works that rely, in whole or in part, on artificial intelligence. The U.S. Federal Trade Commission (FTC) has suggested that generative-AI implicates “competition concerns.”. Lawmakers in the United States and the European Union are considering legislation to regulate AI in various ways.

Update on Copyright Office Reports: The Copyright Office has issued reports in three parts:

Part 1: Digital Replicas

Released on July 31, 2024, this initial part addresses the unauthorized use of AI to realistically replicate an individual’s voice or appearance (e.g., deepfakes and AI-generated music tracks mimicking famous artists). The Copyright Office recommends that Congress enact a new federal law to protect individuals from unauthorized digital replica distributions. See Copyright and Artificial Intelligence Part 1 -Digital Replicas.

Part 2: Copyrightability

This Report addresses whether and to what extent AI-generated output is protected by copyright. Key findings and conclusions:

  • Prompts are Insufficient: Text prompts generally function merely as instructions to convey unprotectable ideas. Because a user does not exercise ultimate creative control over how the AI generates the final material, prompts alone do not establish human authorship.
  • AI as a Creative Tool: If a human author maintains sufficient control over the expressive elements, the work can be protected. For example, if a creator inputs their own hand-drawn art and uses AI to refine it, the original perceptible human work remains copyrightable.
  • Modifications and Arrangements: Humans can claim copyright over the creative selection, coordination, arrangement, or expressive modification of AI-generated content. However, protection only applies to the human-contributed elements, not the AI-generated parts. The Copyright Office mandates transparency. Authors submitting registration applications have a duty to disclose and disclaim any AI-generated content within their applications that is more than minor (de minimis)
  • No New Laws Needed: The Office concluded that existing legal frameworks are flexible enough to evaluate AI cases on a case-by-case basis without need for new legislation.

See Copyright and Artificial Intelligence Part 2 – Copyrightability.

Part 3. Generative-AI Training

This report deals with copyright issues associated with the use of copyrighted works in generative-AI training, especially input infringement.

  • Fair Use Limitations: Using commercial troves of copyrighted works to build models that directly compete with original authors likely stretches past fair use boundaries.
  • The Role of Licensing: The Office highlighted that voluntary licensing markets are already actively emerging across the music and news sectors.

See Copyright and Artificial Intelligence Part 3 – Generative AI Training.

For more updates, see my full AI Lawsuits Roundup.”

For a wealth of information about copyright law, visit my extensive Copyright FAQs page.

Trump’s Executive Order on AI

News media headlines are trumpeting that the Executive Order preempts state AI laws. This is not true. It directs this administration to try to strike down some state AI laws. It contemplates working with Congress to formulate and enact preemptive legislation. It is doubtful that a President could constitutionally preempt state laws by executive order.

On December 11, 2025, President Trump issued another executive order. This one is intended to promote “national dominance” in “a race with adversaries for supremacy.” To “win,” the Order says, AI companies should not be encumbered by state regulation. “The policy of the United States,” the Order says, is “to sustain and enhance the United States’ global AI dominance through a minimally burdensome national policy framework for AI.” It sets up an AI Litigation Task Force to challenge state AI laws that allegedly do not do that.

Excepted from the Order are state laws on child safety protections, data center infrastructure, and state government use of AI.

Which State AI Laws?

The Order speaks generally about “state AI laws,” but does not define the term. In fact, AI legal issues are wide-ranging. Here are some examples of state AI laws:

Stalking and Harassment

A North Dakota statute criminalizes using a robot to frighten or harass another person. It defines a robot to include a drone or other system that uses AI technology. (N.D. Cent. Code § 12.1-17-07.(1), (2)(f)). This appears to be a “state AI law.” North Dakota statutes also prohibit stalking accomplished by using either a robot or a non-AI form of technology. (N.D. Cent. Code § 12.1-17-07.1(1)(d)). Preempting this statute would produce an anomalous result. It would be a crime to stalk somebody unless you use an AI-powered device to do it.

Political Deepfakes

Several states have enacted laws prohibiting the distribution of political deepfakes to influence an election. Regulations range from a prohibition against the distribution of a deepfake to influence an election within a specified time period before the election to requiring disclosure that it is AI-generated. Minn. Stat. § 609.771 is an example of such a regulation. The need for this kind of statute was highlighted in 2024 when someone used AI to clone Joe Biden’s voice and generate an audio file that sounded like Mr. Biden himself was urging people not to vote for him.

Sexual Deepfakes

Both state and federal governments have enacted laws aimed at curbing the proliferation of “revenge porn.” The TAKE IT DOWN Act is an example. Minn. Stat. § 604.32 is another example (deepfakes depicting intimate body parts or sexual acts).

State and federal laws in this area cover much of the same ground. The principal difference is that the federal crime must involve interstate commerce; state crimes do not. The only practical effect of preemption of this kind of state AI law, therefore, would be to eliminate state prohibitions of wholly intrastate sexual deepfakes. If the Executive Order succeeds in its objectives, then state laws that prohibit the creation or distribution of sexual deepfakes wholly within the same state, as some do, would be preempted, with the result that making and distributing sexual deepfakes would be lawful so long as you only transmit it to other people in your state and not to someone in a different state.

Digital Replicas

Many states have enacted laws prohibiting or regulating the unauthorized creation and exploitation of digital replicas. The California Digital Replicas Act and Tennessee’s ELVIS Act are examples. AI is used in the creation of digital replicas. It is unclear whether these kinds of enactments are “state AI laws.” Arguably, a person could use technologies more primitive than generative-AI to create a digital image of a person. If these statutes are preempted only to the extent they apply to AI-generated digital replicas, then it would seem that unauthorized exploiters of other people’s faces and voices for commercial gain would be incentivized to use AI to engage in unauthorized commerceial exploitation of other people.

Child Pornography

Several states have either enacted laws or amended existing laws to bring AI-generated images of what look like real children within the prohibition against child pornography. See, e.g., N.D. Cent. Code § 12.1.-27.2—01.  The Executive Order exempts “child safety protections,” but real children do not necessarily have to be used in AI-generated images. This kind of state statute arguably would not come within the meaning of a “child safety protection.”

Health Care Oversight

California’s Physicians Make Decisions Act requires a human person to oversee health care decisions about medical necessity. This is to ensure that medical care is not left entirely up to an AI bot. The law was enacted with the support of the California Medical Association to ensure that patients receive adequate health care. If the law is nullified, then it would seem that hospitals would be free to replace doctors with AI chatbots.

Chatbots

Some states prohibit the deceptive use of a chatbot, such as by falsely representing to people who interact with one that they are interacting with a real person. In addition, some states have enacted laws requiring disclosure to consumers when they are interacting with a non-human AI. See, e.g., the Colorado Artificial Intelligence Act.

Privacy

Some states have enacted either stand-alone laws or amended existing privacy laws to ensure they protect the privacy of personally identifiable information stored by AI systems. See, e.g., Utah Code 13-721-201, -203 (regulating the sharing of a person’s mental health information by a chatbot); and amendments to the California Consumer Privacy Act making it applicable to information stored in an AI system.

Disclosure

California’s Generative AI Training Data Transparency Act requires disclosure of training data used in developing generative-AI technology.

The Texas Responsible Artificial Intelligence Governance Act

Among other things, the Texas Responsible AI Governance Act prohibits the use of AI to restrict constitutional rights, to discriminate on the basis of race, or to encourage criminal activity. These seem like reasonable proscriptions.

Trump’s “AI czar,” venture capitalist David Sacks, has said the administration is not gong to “push back” on all state laws, only “the most onerous” ones. It is unclear which of these will be deemed “onerous.”

State AI Laws are Not Preempted

News media headlines are trumpeting that the Executive Order preempts state AI laws. This is not true. It directs this administration to try to strike down some state AI laws. It contemplates working with Congress to formulate and enact preemptive legislation. It is doubtful that a President could constitutionally preempt state laws by executive order.

Postscript

Striving for uniformity in the regulation of artificial intelligence is not a bad idea. There should be room, though, for both federal and state legislation. Rather than abolishing state laws, a uniform code or model act for states might be a better idea. Moreover, if we are going to start caring about an onerous complex of differing state laws, and feeling a need to establish a national framework, perhaps the President and Congress might wish to address the sprawling morass of privacy and data security regulations in the United States.

 

AI Legislative Update

Congressional legislation to regulate artificial intelligence (“AI”) and AI companies is in the early formative stages. Just about the only thing that is certain at this point is that federal regulation in the United States is coming.

Congressional legislation to regulate artificial intelligence (“AI”) and AI companies is in the early formative stages. Just about the only thing that is certain at this point is that federal regulation in the United States is coming.

In August, 2023, Senators Richard Blumenthal (D-CT) and Josh Hawley (R-MO) introduced a Bipartisan Framework for U.S. AI Act. The Framework sets out five bullet points identifying Congressional legislative objectives:

  • Establish a federal regulatory regime implemented through licensing AI companies, to include requirements that AI companies provide information about their AI models and maintain “risk management, pre-deployment testing, data governance, and adverse incident reporting programs.”
  • Ensure accountability for harms through both administrative enforcement and private rights of action, where “harms” include private or civil right violations. The Framework proposes making Section 230 of the Communications Decency Act inapplicable to these kinds of actions. (Second 230 is the provision that generally grants immunity to Facebook, Google and other online service providers for user-provided content.) The Framework identifies the harms about which it is most concerned as “explicit deepfake imagery of real people, production of child sexual abuse material from generative A.I. and election interference.” These are not, by any means, the only AI legal issues there are. Noticeably absent, for example,  is any mention of harms caused by copyright infringement.
  • Restrict the sharing of AI technology with Russia, China or other “adversary nations.”
  • Promote transparency: The Framework would require AI companies to disclose information about the limitations, accuracy and safety of their AI models to users; would give consumers a right to notice when they are interacting with an AI system; would require providers to watermark or otherwise disclose AI-generated deepfakes; and would establish a public database of AI-related “adverse incidents” and harm-causing failures.
  • Protect consumers and kids. “Consumer should have control over how their personal data is used in A.I. systems and strict limits should be imposed on generative A.I. involving kids.”

The Framework does not address copyright infringement, whether of the input infringement or the output infringement  variety.

The Senate Judiciary Committee Subcommittee on Privacy, Technology, and the Law held a hearing on September 12, 2023. Witnesses called to testify generally approved of the Framework as a starting point.

The Senate Commerce, Science, and Transportation Subcommittee on Consumer Protection, Product Safety and Data Security also held a hearing on September 12, called The Need for Transparency in Artificial Intelligence. One of the witnesses, Dr. Ramayya Krishnan, Carnegie Mellon University, did raise a concern about the use of copyrighted material by AI systems and the economic harm it causes for creators.

On September 13, 2023, Sen. Chuck Schumer (D-NY) held an “AI Roundtable.” Invited attendees present at the closed-door session included Bill Gates (Microsoft), Elon Musk (xAI, Neuralink, etc.) Sundar Pichai (Google), Charlie Rivkin (MPA), and Mark Zuckerberg (Meta). Gates, whose Microsoft company, like those headed by some of the other invitees, has been investing heavily in generative-AI development, touted the claim that AI could target world hunger.

Meanwhile, Dana Rao, Adobe’s Chief Trust Officer, penned a FAIR Act proposal that Congress establish a federal anti-impersonation right to address the economic harms generative-AI causes when it impersonates the style or likeness of an author or artist. The proposed law would be called the Federal Anti-Impersonation Right Act, or “FAIR Act,” for short. The proposal would provide for the recovery of statutory damages by artists who are unable to prove actual economic damages.

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