{"slug": "google-faces-class-action-over-books-used-to-train-gemini", "title": "Google Faces Class Action Over Books Used To Train Gemini", "summary": "Three publishers, novelist Scott Turow, and his company S.C.R.I.B.E. filed a proposed class action lawsuit against Google, accusing the company of copying millions of books and journal articles to train its Gemini AI model without permission. The lawsuit, filed in the U.S. District Court for the Southern District of New York, alleges copyright infringement and seeks damages, an injunction, and deletion of unauthorized copies. The case raises key questions about whether permission for one use covers training AI models on that data.", "body_md": "Three publishers, novelist Scott Turow, and his company S.C.R.I.B.E. have filed a proposed class action lawsuit accusing Google of copying millions of books and journal articles to train Gemini. This includes works provided through Google Books, Play Books, and Scholar.\n\nOn July 10, Hachette Book Group, Cengage Learning, Elsevier, Turow, and S.C.R.I.B.E. joined together in [a lawsuit filed](https://publishers.org/wp-content/uploads/2026/07/Hachette-v.-Google-Dkt.-1-Complaint2.pdf) in the U.S. District Court for the Southern District of New York, with the Association of American Publishers [announcing it](https://publishers.org/news/publishers-and-authors-file-class-action-lawsuit-against-google-for-willful-copyright-infringement-to-develop-gemini-ai-models/) on the same day. They argue that the books and articles supplied to these services were meant for specific purposes, and using them to train a commercial AI model was not one of those. The lawsuit also claims that Google copied works it obtained from web scrapes, including from pirate sites and paywalled libraries. Google hasn’t commented on the complaint as of publication, and no court has ruled on any of the claims. The main question is whether permission for one use also covers training a model on that data.\n\n## What The Complaint Alleges\n\nThe complaint brings four counts. Three allege unauthorized reproduction under the Copyright Act, covering Google Books and other Google services, web scraping downloads, and copying during training. The fourth alleges Google removed copyright management information in violation of the DMCA. The plaintiffs are asking for damages, an injunction, a detailed account of the works Gemini used for training, and court orders to delete any unauthorized copies. The filing quotes what it describes as internal Google documents, one of which called using books from Google Play Books for AI as “highly problematic for Google,” with potential fines from “$10Bs-$100Bs.” It attributes another line to Gemini’s lead engineer, who it says told colleagues, “we don’t do deals for data we already have or already possess.” None of these documents are public, and the quotes come from the plaintiffs’ filing.\n\n## Where Crawler Controls Stop\n\nGoogle-Extended is the robots.txt token that covers content Google crawls from your site. It restricts whether that content can be used for future Gemini training and some grounding uses. Neither of the two sourcing methods discussed here involves that token. The books were supplied directly to Google via agreements, so a robots.txt file does not affect this process. The web-scraping claims refer to copies that, according to the complaint, appeared in Common Crawl after being hosted on pirate sites and subscription libraries. Since these copies are hosted on different domains, a robots.txt file cannot regulate them.\n\nOn June 25, Google published a [policy paper](https://www.searchenginejournal.com/google-defends-ai-training-as-fair-use-in-governance-paper/580776/) arguing that training on public web data is a “transformative, non-expressive use” under fair use protections. The paper also mentions machine-readable controls, like Google-Extended, which websites can use to opt out. However, the material examined here allegedly arrived through different channels.\n\nLast month, Digital Content Next [sent a cease and desist letter](https://www.searchenginejournal.com/us-publishers-demand-common-crawl-stop-scraping-their-content/578532/) to the Common Crawl Foundation, asserting that copyright law does not operate as an opt-out system.\n\n## Why This Matters\n\nThe permission question and the fair-use question are separate concerns. Fair use can apply even if no agreement authorized the use, and the complaint doesn’t settle either issue.\n\nYour crawler settings are a smaller factor than this situation might imply. In January, [BuzzStream data](https://www.searchenginejournal.com/most-major-news-publishers-block-ai-training-retrieval-bots/564605/) indicated that 79% of top news sites block at least one AI training bot, which is the channel Google-Extended addresses. The two groups of copies analyzed here allegedly came through routes that those settings don’t affect.\n\n## Looking Ahead\n\nIn 2025, [two Northern California rulings](https://www.whitecase.com/insight-alert/two-california-district-judges-rule-using-books-train-ai-fair-use) found the training uses at issue fair on the records before them. The Anthropic court [denied](https://www.goodwinlaw.com/en/insights/publications/2025/06/alerts-practices-aiml-district-court-issues-ai-fair-use-decision) summary judgment on pirated central-library copies, while the Meta judge [stressed](https://www.goodwinlaw.com/en/insights/publications/2025/06/alerts-practices-aiml-northern-district-of-california-judge-rules) his decision was specific to those plaintiffs and their record. The publishers [said](https://publishers.org/news/publishers-and-authors-file-class-action-lawsuit-against-google-for-willful-copyright-infringement-to-develop-gemini-ai-models/) they filed in New York after initially planning to intervene in the ongoing In re Google Generative AI Copyright Litigation in California, and that the new suit preserves claims they believe fall outside that proposed class. The next step is Google’s response, either an answer or a dismissal motion.", "url": "https://wpnews.pro/news/google-faces-class-action-over-books-used-to-train-gemini", "canonical_source": "https://www.searchenginejournal.com/google-faces-class-action-over-books-used-to-train-gemini/582708/", "published_at": "2026-07-17 19:51:57+00:00", "updated_at": "2026-07-17 20:07:59.267332+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-policy", "ai-ethics", "large-language-models", "ai-products"], "entities": ["Google", "Gemini", "Hachette Book Group", "Cengage Learning", "Elsevier", "Scott Turow", "S.C.R.I.B.E.", "Association of American Publishers"], "alternates": {"html": "https://wpnews.pro/news/google-faces-class-action-over-books-used-to-train-gemini", "markdown": "https://wpnews.pro/news/google-faces-class-action-over-books-used-to-train-gemini.md", "text": "https://wpnews.pro/news/google-faces-class-action-over-books-used-to-train-gemini.txt", "jsonld": "https://wpnews.pro/news/google-faces-class-action-over-books-used-to-train-gemini.jsonld"}}