You are using an outdated browser and your browsing experience will not be optimal. Please update to the latest version of Microsoft Edge, Google Chrome or Mozilla Firefox. Install Microsoft Edge

June 27, 2025

AI Cases in the UK and the US: What Could They Mean for AI Globally?

Three American giants are actively protecting their intellectual property rights against generative AI, as two legal battles commence on both sides of the Atlantic. In the UK, Seattle-based media company Getty Images accuses UK-based Stability AI of multiple IP infringements. In the US, The Walt Disney Company and Universal Studios are teaming up against Midjourney, an AI startup, with their main ground being copyright infringement.

Both cases are centered around questions legal minds have been posing since the introduction of generative AI: Is the output of generative AI an infringement? And who is ultimately responsible for the output, the platform or the user?

Getty Images v. Stability AI

Getty initially filed a claim in the High Court in 2023, which resulted in Stability applying for reverse summary judgment on the grounds that Getty had no real prospect of success, arguing that their operations took place outside the UK. However, the High Court judge hearing the case decided that the claims brought by Getty did have a real prospect of succeeding in court. Despite this, Stability saw a small victory when the court ruled that the representative action brought by Getty would not succeed due to the difficulties in identifying who qualified for the class. The proposed class was comprised of 50,000 rightsholders who alleged their rights were also infringed. Stability was successful in arguing that identifying these individuals would be challenging due to the unclear definition of the class.

This current trial is centered around four main grounds:

  1. Copyright infringement. Getty accuses Stability of using content that Getty owns or has an exclusive license for when training their model, Stable Diffusion, resulting in the generated output containing substantial parts of that content. Getty is also alleging secondary copyright infringement, arguing that Stability is importing an article into the UK that they know is infringing Getty’s content (i.e., Stable Diffusion). During the trial’s closing speeches, Getty dropped its copyright infringement claim to focus only on the remaining claims—likely due to challenges producing sufficient evidence to satisfy the threshold under UK law. For its part, Stability argues that the training took place outside of the UK and there were no reproductions made of Getty’s copyright within the UK. As such, they argue, there is no secondary copyright infringement, and any output that features Getty’s images was purposefully created by Getty and generated by using prompts in a way that does not reflect how the average user would use the technology.
  2. Trademark Getty accuses Stability of using Getty’s watermarks to train its AI models and that these watermarks are included in the final output. Stability argues that any output showing Getty’s watermarks was created by Getty’s own legal team and was not as a result of using Stability in the ordinary course of trade. They also argue that any watermarks seen on outputs were not used by Stability and do not result in confusion or unfair advantage.
  3. Database rights infringement. Getty argues that Stability has infringed their rights by using a large part of their database and reusing it for their own purposes. This argument is based on their claim that their large content collection should be deemed a database under the Copyright and Rights in Database Regulations 1997. Stability argues that Getty’s collection does not meet the requirements to be classified as a database and should not be afforded the associated protection. Additionally, the alleged extraction did not occur within the UK, and they have not reused the content, as there is no correlation between the output and Getty’s content.
  4. Passing off. Getty argues that outputs use content from Getty’s Getty Images and iStock, resulting in the misrepresentation that the output is owned or licensed by Getty. Stability argues that (1) any such misrepresentation claimed would be made by the user and not by Stability, and (2) any similarity in the output is not enough to confuse or deceive the general public.

The trial in the UK began on June 9, 2025, and is due to end on June 30, 2025. The judgment is expected sometime in July.

Disney and Universal v. Midjourney

Before suing the generative AI company Midjourney, which specializes in text-to-image generation, both Disney and Universal sent separate cease-and-desist letters that reportedly went unanswered. Following this, the two media companies jointly filed a case in the US District Court of Los Angeles.

The primary arguments being put forward by Disney and Universal are also copyright infringement and secondary copyright infringement, echoing those being made by Getty in its case against Stability. It is too early to know what Midjourney will argue in their defense, but similar arguments to Stability AI are expected—that the users are the ones responsible for the outputs.

What Does This All Mean?

Although these cases are taking place in two different jurisdictions, the impact of their judgments is likely to be felt globally. With generative AI still in its infancy, many jurisdictions are still not well equipped to deal with the legal ramifications of content being created by this ever-evolving technology. As a result, many legal systems are looking at others before determining their next steps.

The long-employed defense of fair use will be put to the test yet again, and the lines may be drawn more clearly with a potential decline in generative AI companies being able to rely on it. This defense has already been rejected in one US court in the recent decision from the Thomson Reuters v. Ross Intelligence case. However, the more recent decision in Bartz v. Anthropic resulted in a federal judge allowing the defense of fair use and ruling that training the AI model on books without the author’s consent is not infringement. It is worth noting that in that case, the books were obtained from pirate websites, and so there will be another trial to determine the legality of the library Anthropic used.

Although the courts seem to be split over whether fair use should be allowed in relation to generative AI, the decisions do suggest that the source material should be legally obtained prior to training the models. Therefore, AI companies may need to start looking for other solutions to prevent future claims of infringement, such as licensing content for AI model training. This move would be welcomed by rightsholders but would result in additional costs for the AI startups.

Governments are likely to feel more pressure to put in place AI laws that bring more clarity than current laws and regulations on AI—especially in the UK, now that Getty has dropped their copyright infringement case and there will be no imminent judgment on this issue from the High Court. With the fast-paced nature of generative AI, it is likely governments will find themselves in an increasingly difficult position, with some wanting to keep a more laissez-faire approach and others wanting more stringent protections for their intellectual property. In the absence of court decisions to bridge the gap, many common-law jurisdictions will now be looking for legislative changes instead.

The decisions coming from the UK and US courts may be highly persuasive around the world and could lead to legislative changes to bring some stability for rightsholders and users. After all, IP laws tend toward global alignment, and it is unlikely rightsholders or governments will want to go against the stream in such uncertain times.

RELATED INSIGHTS​ 

June 23, 2026
On May 26, 2026, Thailand’s Department of Land Transport (DLT) published for public consultation a draft amendment to the Ministerial Regulation on Electronic Ride-Hailing Vehicles that would, for the first time, allow juristic persons (legal entities) to register vehicles as electronic ride-hailing cars—a right that currently belongs exclusively to natural persons, limited to one person per one vehicle. If finalized in its current form, the regulation would significantly expand the supply side of Thailand’s ride-hailing market by enabling corporate fleet operators to enter the space. The public comment period is open through June 24, 2026. Key Principles Under the Draft Regulation Under the proposed amendment, juristic persons that maintain a fleet of at least 50 vehicles will be permitted to register vehicles as electronic ride-hailing cars. This represents a fundamental shift from the current framework, which restricts registration to individual natural persons on a one-person-one-car basis. Vehicle Specifications Corporate-owned ride-hailing vehicles must meet the following requirements: Be brand new from the factory, or no more than two years old from first registration with no more than 20,000 km of use. Not be a vehicle that has been reconstructed or repaired after involvement in a serious accident affecting safety—a standard consistent with public transport vehicles (RorYor. 6). Be classified as small, medium, or large in accordance with ministerial or director-general specifications. The vehicles may be equipped with safety devices such as interior or exterior cameras (video/photo recording) and can retain the original factory color of the vehicle body (no mandatory color change is required). License Plates Corporate ride-hailing vehicles will use license plates of the same size, characteristics, and color as those for private passenger vehicles not exceeding seven seats (RorYor. 1), rather than public transport plates. Potential Impact The government has stated that the regulation is intended to: Promote
June 23, 2026
On May 14, 2026, Thailand published a ministerial regulation in the Government Gazette to prescribe measures for prevention and suppression of technology crimes. The regulation creates a comprehensive procedural framework for returning money and digital assets to victims of technology crimes. It will take effect 90 days after publication (in mid-August 2026), giving affected entities a limited window to prepare. Mandatory Reporting Obligations for Financial Institutions When a deposit account, e-money account, or digital asset wallet is frozen in connection with a technology crime, the relevant financial institution or business operator must report transaction data to the Anti-Money Laundering Office (AMLO) via AMLO’s designated electronic system. Required data elements include account numbers (sender and receiver), names, identification or passport numbers, legal entity registration numbers, phone numbers, remaining balance, damage amount, transaction reference numbers, and the bank case ID. Institutions that already share data through the information-sharing system under the emergency decree are deemed to have satisfied this reporting obligation, creating an incentive for platform participation. When the Royal Thai Police or the Department of Special Investigation seize or freeze assets related to technology crimes, they must provide AMLO with investigation reports, complaint evidence, money-trail data, and account statements. Notification and Claims Process Once the AMLO secretary-general approves verified reports of a technology crime, the account information of persons connected to the crime will be published in the Government Gazette, triggering a 90-day window for victims to file claims and for related persons to file objections. Officers will also publish details on AMLO’s electronic media and send registered mail to identified victims, which will be deemed received after 7 days domestically or 15 days internationally. Victims have 90 days from the date the crime is published in the Government Gazette to file claims through AMLO’s electronic system. Claims must include
June 15, 2026
The surge in AI development has led to a desperate demand for large, high-quality training data. However, real-world data can be expensive to collect, difficult to access, and often subject to strict privacy and regulatory constraints. Synthetic data, which consists of artificially generated records that replicate the statistical properties of real-world data without reproducing specific individuals’ information, provides an appealing solution by generating artificial datasets at scale without relying on identifiable personal information. It combines speed, cost efficiency, and regulatory compliance, making it a sensible alternative for organizations seeking to reduce risks while maintaining data utility. When properly anonymized, synthetic datasets may fall outside the scope of laws such as the EU’s General Data Protection Regulation (GDPR) or Thailand’s Personal Data Protection Act (PDPA), reducing compliance burdens while still supporting high-quality model training. However, relying on synthetic data without rigorous legal due diligence could be a strategic mistake. It replaces one set of known risks (scraping, direct privacy liability) with a new set of complex liabilities. The narrative that synthetic data is a “silver bullet” for privacy and IP compliance is dangerous and could be misleading. While synthetic data addresses data scarcity, it also introduces new legal uncertainties. Legal counsel should anticipate downstream risks arising from compromised data sources. Models trained on unlawfully obtained data may need to be decommissioned, even if their outputs appear lawful. What is synthetic data? Synthetic data refers to artificially generated information created using AI techniques such as deep learning and generative models. Instead of copying real records, it reproduces the statistical patterns and relationships found in the original dataset. Synthetic data generally falls into three categories: Fully synthetic data – Entirely new data points generated from learned patterns. The model studies the structure of the original data and produces records that resemble real-world
June 11, 2026
Thailand’s Electronic Transactions Development Agency (ETDA) has released a revised draft Electronic Transactions Act (ETA) for public hearing from May 12, 2026, to June 15, 2026. This is not merely an amendment to certain provisions of the current ETA, but a comprehensive redrafting of the entire act. The revised draft ETA introduces several significant changes from the current framework, with practical implications for businesses operating in Thailand. Unified Coverage of Public and Private Sectors The current law segregates government transactions into a separate chapter with distinct rules. The draft ETA eliminates this division, defining “transaction” to encompass civil and commercial juristic acts as well as administrative procedures, administrative contracts, and other acts of government agencies. Enhanced E-Signature Definition The definition of “electronic signature” is broadened to expressly include biometric data and refocused on identifying the signatory and demonstrating intent regarding the content of the electronic data. Shift in Burden of Proof When a party challenges the reliability of electronic data created using a “trusted electronic method” or a method prescribed by the ETDA, the burden of proof and the cost of proving unreliability shifts to the challenger. Introduction of New Digital Method Concepts The draft ETA introduces several new digital method concepts that are not currently recognized under the existing ETA framework. These include: Electronic timestamping (e-timestamp) Electronic registered delivery Electronic company seals Electronic stamp duty compliance Electronic identity authentication and verification Electronic transferable records (electronic bills of lading, promissory notes, and similar negotiable instruments) Recognition of Automated Systems and Electronic Contracting The draft ETA expressly recognizes the legal validity and enforceability of contracts formed through automated systems, including contracts concluded entirely between automated systems or between an automated system and a person. A party may not deny the binding effect of such contracts solely because no human review