This is the most significant "decided" case from late 2025. It was a class-action lawsuit led by authors (like Andrea Bartz) and supported by major publishing groups.
The Ruling: In mid-2025, the judge gave a "mixed" ruling. He said that using books to train AI is generally "fair use" (legal), BUT using pirated copies from "shadow libraries" to do that training is illegal.
The Result: To avoid a long trial over where they got their data, Anthropic agreed to a $1.5 billion settlement in September 2025 to compensate authors and publishers.
This is the "big one" currently hitting the news in 2026. It began as a lawsuit by authors, but major textbook publishers have recently moved to intervene (join the suit).
Who is involved: Cengage Group and Hachette Book Group officially joined this case in early 2026.
The Claim: They are suing Google over its Gemini AI, alleging that Google used millions of copyrighted works (including textbooks) without permission. They specifically pointed out that Gemini can sometimes "spit out" entire chapters of textbooks word-for-word if prompted correctly.
There is also a separate, ongoing case (often cited as the "Google Shopping" case) where Cengage and other publishers (McGraw Hill, Elsevier) sued Google for promoting and selling "pirated" digital versions of their textbooks in Google Search results. This case helped set the stage for the current aggressive stance publishers are taking against AI companies.
Elon Musk Sam Altman
The legal battle between Elon Musk and Sam Altman (alongside OpenAI and its president, Greg Brockman) reached a dramatic conclusion in a high-stakes federal jury trial in Oakland, California, overseen by U.S. District Judge Yvonne Gonzalez Rogers.
The case—which fundamentally questioned whether a highly valuable artificial intelligence lab can pivot from a public charity to a commercial powerhouse—concluded with a jury verdict handing a total victory to Sam Altman and OpenAI.
Here is a comprehensive synopsis of the claims, arguments, courtroom drama, and ultimate resolution of Musk v. Altman.
Elon Musk, who co-founded OpenAI in 2015 alongside Altman and Brockman, filed a lawsuit alleging that the executives "stole a charity." Musk contributed roughly $38 million to $44 million in funding during OpenAI's early years.
Musk's lawsuit rested on two primary legal claims:
Breach of Charitable Trust: Musk argued that OpenAI violated a "founding agreement"—pieced together via early emails, promotional materials, and verbal commitments—to develop Artificial General Intelligence (AGI) safely and purely for the benefit of humanity as an open-source non-profit.
Unjust Enrichment: Musk claimed that Altman, Brockman, and corporate partner Microsoft unjustly enriched themselves at Musk’s expense by restructuring the organization into a massively valuable for-profit vehicle.
Musk did not seek personal damages. Instead, he demanded:
The ouster of Sam Altman and Greg Brockman from OpenAI's leadership.
The undoing of OpenAI’s for-profit restructuring (including its recent transition into a public benefit corporation, OpenAI Group PBC).
The redistribution of $134 billion from OpenAI's for-profit arm back into its original non-profit charitable entity.
OpenAI and Altman’s legal team fiercely rejected all claims, presenting a starkly different narrative of the company's evolution:
No Binding Contract: The defense emphasized that Musk, Altman, and Brockman never signed an explicit, written contract locking OpenAI into remaining a pure non-profit forever. Without a formal contract, they argued, a breach could not have occurred.
Musk Wanted Control: OpenAI argued that Musk’s lawsuit was motivated by personal jealousy and retribution after his own failed attempt to take over OpenAI in 2018. The defense presented evidence showing that as early as 2017, Musk himself recognized the massive capital needed for computing power and wanted a for-profit structure—provided he dominated it or folded it into Tesla.
Statute of Limitations: OpenAI argued that Musk waited far too long to file his lawsuit, asserting that he could not legally claim harms for operational shifts that occurred years prior to his filing.
The three-week trial exposed intense personal animosity and embarrassing internal communications between Silicon Valley's elite:
Elon Musk's Testimony: Musk took the stand for three days, arguing that he was the primary reason OpenAI ever succeeded, having funded it to act as a crucial counterweight to Google. His cross-examination grew combative when pushed on what he knew about OpenAI's commercialization path, and he ultimately left the country mid-trial for a trip to China, leaving his attorneys to finish the case without him present.
Sam Altman's Testimony: Altman testified that Musk made "hair-raising" demands for absolute control during the company's infancy, including asking for up to 90% equity and refusing to commit in writing to ceding long-term authority. Altman testified that Musk's 2018 departure was actually a "morale boost" for researchers who were exhausted by Musk’s aggressive style.
The Credibility Battle: Musk's attorneys focused heavily on Altman's trustworthiness, highlighting testimony from high-profile former OpenAI insiders—including Ilya Sutskever, Mira Murati, Helen Toner, and Tasha McCauley—who had questioned Altman’s transparency under oath in various contexts or past board disputes.
The nine-person jury ultimately sided completely with OpenAI and Sam Altman, finding them not liable.
The jury determined that Musk failed to prove the existence of a binding charitable trust agreement that was violated, and rejected the claim of unjust enrichment. Furthermore, the defense's arguments regarding the expiration of the statute of limitations heavily favored OpenAI's position.
Had Musk succeeded, it could have completely derailed OpenAI's massive commercial trajectory, its multi-billion-dollar partnership with Microsoft, and its highly anticipated IPO. The victory leaves OpenAI’s current corporate structure intact, establishing a crucial legal precedent regarding how Silicon Valley tech firms navigate the transition from open-source altruism to commercial dominance.
The legal battle between Anthropic and the U.S. Federal Government is a major conflict over the control and ethics of military AI. As of May 2026, the situation has escalated into a series of federal lawsuits following the government's attempt to "blacklist" the company.
The dispute began during contract negotiations between Anthropic and the Department of War (formerly the Department of Defense).
The Government's Demand: The administration demanded that Anthropic allow its AI (Claude) to be used for "all lawful use cases." * Anthropic’s Refusal: Anthropic sought to include specific contract language that would prohibit the use of its technology for fully autonomous lethal weapons and mass domestic surveillance of U.S. citizens.
When negotiations failed, the Trump administration took unprecedented steps on February 27, 2026:
Presidential Directive: An order was issued for all federal agencies to immediately cease using Anthropic technology, with a six-month phase-out period.
Supply Chain Risk Designation: Secretary of War Pete Hegseth designated Anthropic a "Supply-Chain Risk to National Security," a label typically reserved for foreign adversaries.
Contractor Ban: The government directed that any contractor doing business with the military must also cease all commercial activity with Anthropic.
Anthropic responded by filing two major federal lawsuits on March 9, 2026, to block these actions:
Northern District of California Case: * Argument: Anthropic claims the government is engaging in "illegal retaliation" for its protected speech regarding AI safety.
Current Status: On March 26, 2026, Judge Rita F. Lin issued a preliminary injunction temporarily blocking the ban. She ruled that the government’s actions appeared "designed to punish" Anthropic rather than protect national security. The Department of Justice (DOJ) appealed this ruling in April.
D.C. Circuit Court of Appeals Case:
Argument: This suit specifically challenges the "Supply Chain Risk" label under the Federal Acquisition Supply Chain Security Act.
Current Status: This court recently denied Anthropic's request for an emergency stay, meaning the "security risk" label technically remains in place while the broader legal review continues.
This case is being watched closely because it sets a precedent for whether the government can force AI companies to remove safety guardrails.
Financial Stakes: Anthropic testified that the ban could cost the company billions of dollars in lost revenue and has already caused over 100 enterprise customers to express concern.
"Woke AI" Narrative: The administration has publicly framed the issue as a fight against "woke AI companies" dictating terms to the military, while Anthropic argues it is protecting constitutional rights and preventing the misuse of powerful technology.
Recent Update (May 2026): While the GSA has restored Anthropic to its schedules due to the court injunction, the DOJ is aggressively pursuing an appeal to reinstate the full ban.