AI copyright litigation
In plain wordsThe many lawsuits in which authors, artists, news organizations, record labels and others accuse AI companies of copying their work without permission to build or run AI models.
The body of lawsuits, chiefly in the United States but also in the UK, Germany, Canada, India and elsewhere, in which rights holders allege that AI developers infringed copyright by copying works into training datatraining data, n.: The examples an AI system learns from. Whatever patterns, skills, gaps and biases are in the training data tend to show up in the finished system., through models that reproduce protected material, or through retrieval tools that copy and summarize content. Claims also invoke removal of copyright-management information, trademark law and, in Europe, the limits of TDM exceptionstext and data mining exception, n.: A rule in many countries' copyright laws that lets people use computers to copy and analyze large amounts of text, images or data without asking permission — sometimes only for research, sometimes unless owners opt out.; US defendants rely chiefly on fair usefair use and AI training, phr.: The unsettled US legal question of whether AI companies may copy books, articles, pictures and music to train their models without permission, under the rule that allows some unlicensed uses of copyrighted work.. Landmarks include Thomson Reuters v. Ross (filed 2020), in which the Third Circuit rejected fair use in September 2026; the artists' suit Andersen v. Stability AI (2023); Getty Images v. Stability AI in the UK, where the High Court held in November 2025 that model weights are not an infringing copy; New York Times v. OpenAINew York Times v. OpenAI, prop. n.: A major lawsuit, filed in 2023, in which The New York Times accuses OpenAI and Microsoft of copying millions of its articles to train ChatGPT and of letting the chatbot reproduce its journalism. (2023); Bartz v. AnthropicBartz v. Anthropic, prop. n.: A US lawsuit by book authors against the AI company Anthropic that ended in a record $1.5 billion settlement, after a judge ruled that training on purchased books was legal but keeping pirated copies was not., settled for $1.5 billion; record-label suits against Suno and Udio, several settled in 2025 as licensing deals; and GEMA v. OpenAI, in which a Munich court held in November 2025 that memorized song lyrics infringed. By 2026 trackers counted dozens of such suits in the United States alone.
Most AI copyright litigation now turns less on training itself than on where the training copies came from.
Origin
Thomson Reuters sued Ross Intelligence in May 2020 over training a legal search tool on Westlaw headnotes; the generative-AI wave began with the November 2022 class action over GitHub Copilot and suits against image generators in January 2023, then spread to authors, news publishers and music.
Usage note
Outcomes increasingly separate three questions: whether training is lawful, whether acquiring the copies (for example from shadow libraries) was lawful, and whether outputs infringe. Many disputes end in licensing agreements rather than judgments.
Related
- fair use and AI trainingfair use and AI training, phr.: The unsettled US legal question of whether AI companies may copy books, articles, pictures and music to train their models without permission, under the rule that allows some unlicensed uses of copyrighted work.
- text and data mining exceptiontext and data mining exception, n.: A rule in many countries' copyright laws that lets people use computers to copy and analyze large amounts of text, images or data without asking permission — sometimes only for research, sometimes unless owners opt out.
- Bartz v. AnthropicBartz v. Anthropic, prop. n.: A US lawsuit by book authors against the AI company Anthropic that ended in a record $1.5 billion settlement, after a judge ruled that training on purchased books was legal but keeping pirated copies was not.
- New York Times v. OpenAINew York Times v. OpenAI, prop. n.: A major lawsuit, filed in 2023, in which The New York Times accuses OpenAI and Microsoft of copying millions of its articles to train ChatGPT and of letting the chatbot reproduce its journalism.
- memorizationmemorization, n.: When an AI model stores specific pieces of its training data — a paragraph, a phone number, an image — closely enough to reproduce them, instead of only learning general patterns.
- data licensingdata licensing, n.: The legal permissions that say who may use a dataset or a body of content, for what purposes and on what terms — including whether it may be used to train AI.
- Books3Books3, prop. n.: A collection of nearly 200,000 pirated e-books, assembled in 2020 and used to train several AI language models, which became central to lawsuits by authors over AI training.
Sources
- Copyright Alliance (2026). AI Copyright Lawsuit Developments in 2025: A Year in Review.
Mentioned in
fair use and AI trainingfair use and AI training, phr.: The unsettled US legal question of whether AI companies may copy books, articles, pictures and music to train their models without permission, under the rule that allows some unlicensed uses of copyrighted work., MidjourneyMidjourney, prop. n.: A popular paid AI image generator, first used by typing prompts into the chat app Discord, known for its polished, painterly look; it can also animate images into short videos., Stable DiffusionStable Diffusion, prop. n.: A widely used image-generating AI whose model files were released for anyone to download, so people could run it on their own computers and adapt it., text-to-image modeltext-to-image model, n.: An AI system that creates a picture from a written description, such as 'a fox reading a newspaper, in watercolor', usually within seconds., AI authorshipAI authorship, n.: The question of whether a work or invention produced by AI can be protected by copyright or patent, and if so who counts as its author or inventor: the AI, the person using it, or no one., data licensingdata licensing, n.: The legal permissions that say who may use a dataset or a body of content, for what purposes and on what terms — including whether it may be used to train AI., digital replicadigital replica, n.: A realistic computer-made copy of a real person's voice or appearance — such as an AI clone of a singer's voice or a digital stand-in for an actor — that can say or do things the person never did., model licensemodel license, n.: The legal terms under which an AI model may be downloaded and used — for example, whether businesses may use it, whether changes may be shared, and which uses are banned., music generationmusic generation, n.: Using AI to compose or produce music — from melodies written as notes to complete songs with vocals — often from a short text description like 'upbeat jazz with saxophone'., Perplexity AIPerplexity AI, prop. n.: An American company whose AI search engine answers questions in full sentences with links to its sources; news publishers have sued it for using their articles., Stability AIStability AI, prop. n.: A London company that paid for and released Stable Diffusion, a free image-generating AI anyone could download, and later models for video, audio and 3D., SunoSuno, prop. n.: A popular AI service that writes and performs complete songs — music, lyrics and singing — from a short text description., text and data mining exceptiontext and data mining exception, n.: A rule in many countries' copyright laws that lets people use computers to copy and analyze large amounts of text, images or data without asking permission — sometimes only for research, sometimes unless owners opt out., web scrapingweb scraping, n.: Using software to automatically copy information from websites — text, prices, images — in bulk, which is how much of the data used to train AI was gathered., Bartz v. AnthropicBartz v. Anthropic, prop. n.: A US lawsuit by book authors against the AI company Anthropic that ended in a record $1.5 billion settlement, after a judge ruled that training on purchased books was legal but keeping pirated copies was not., Books3Books3, prop. n.: A collection of nearly 200,000 pirated e-books, assembled in 2020 and used to train several AI language models, which became central to lawsuits by authors over AI training., GlazeGlaze, prop. n.: A free tool that lets artists treat their pictures before posting them, with changes people barely notice, so that an AI trained to imitate their style learns a different one., New York Times v. OpenAINew York Times v. OpenAI, prop. n.: A major lawsuit, filed in 2023, in which The New York Times accuses OpenAI and Microsoft of copying millions of its articles to train ChatGPT and of letting the chatbot reproduce its journalism., NightshadeNightshade, prop. n.: A free tool for artists that subtly alters their images so that AI image generators trained on them without permission learn the wrong things — associating 'dog' with pictures of cats, say., vibe portingvibe porting, n.: Using AI coding agents to translate a whole software project into another programming language, usually checking the result against the original project's tests.