University of Tennessee sues Anthropic over neural network patents in first such case

University of Tennessee sues Anthropic over neural network patents

The Delaware complaint moves the fight over how Anthropic built its models from copyrighted books to the architecture itself. The University of Tennessee Research Foundation sued Anthropic on Monday in the US District Court for the District of Delaware, accusing the artificial intelligence company of building its models on patented neural network methods it never licensed. The complaint, unsealed on Tuesday, is thought to be the first patent infringement case brought against Anthropic, and it arrives days after a California judge approved the company's $1.5bn book piracy settlement with a class of authors. The foundation, which manages patents for the Knoxville campus, cast the case as part of a wider habit. Anthropic's "cavalier approach to others' intellectual property rights in the development of its products extends beyond the use of copyrighted material," it said in the filing. The framing deliberately ties the patent claim to the copyright dispute that produced that settlement, and to a growing docket of complaints against the company, among them a lawsuit over usage limits on its Claude Max plans. At issue are two patents covering what the foundation describes as contributions to machine learning, neuromorphic computing, and neuroscience-inspired computing, all invented by University of Tennessee professors. Bloomberg Law reported that the asserted patents are numbered 10,019,470 and 10,095,718, and that the complaint singles out Claude Code, Anthropic's agentic coding tool, along with its underlying software architecture. The technology traces to TENNLab, a University of Tennessee group that has worked on brain-inspired computing since 2014. The lab, led by professors Garrett Rose, James Plank, Catherine Schuman, and Ahmedullah Aziz, holds seven issued patents and several pending applications, with work spanning spiking neural networks and custom neuromorphic hardware. Its early frameworks, known as NIDA and DANNA, underpin much of that portfolio. Schuman has spoken publicly about how collaborative the field has become, once remarking that it is "basically impossible to do research in this field in isolation." The copyright case sets the backdrop. A federal judge in San Francisco had initially held back on the $1.5bn deal over concerns about how authors would be paid, before signing off on it in a decision described as the largest of its kind in US copyright history. The patent suit stakes out different ground, shifting the argument from the training data to the design of the models. The foundation is seeking unspecified monetary damages and an injunction that would bar Anthropic from further infringement. It has not put a figure on what it believes the technology is worth, and the complaint does not disclose whether the two sides discussed a licence before the suit was filed. According to Bloomberg Law's reading of the complaint, the foundation alleges that Anthropic's products implement patented methods for constructing neuromorphic networks, including a background execution scheduling system and a memory consolidation engine tied to one of the two patents. That level of detail could not be independently confirmed from the public reporting, and the precise mapping of patent claims to Anthropic's code will be contested as the case proceeds. Spokespeople for Anthropic and the foundation did not immediately respond to requests for comment. Anthropic has not filed a formal response, and the company has previously said little in public about the specifics of pending litigation. What happens next is procedural and slow. Anthropic will have to answer the complaint in Delaware, a court that hears a large share of the country's patent disputes, and the case is likely to turn on claim construction, the painstaking process by which a judge decides what the patents actually cover. Only after that will the question of whether Claude infringes them come into focus. For a company racing to build out its Claude partner network and spending the past year settling one intellectual property fight, the suit is a reminder that the books used to train a model are only one kind of property a rival can claim. The patents here describe how a machine learns, not what it read.

Anthropic sued for infringing neural network technology patents

The lawsuit is thought to be the first patent infringement case against Anthropic. A California federal judge on Monday approved the company's landmark $1.5 billion settlement of a class ⁠action copyright lawsuit brought by a group of authors over its use of their work to ⁠train AI. A nonprofit that licenses the University of Tennessee's intellectual property has sued artificial-intelligence giant Anthropic in Delaware federal court for allegedly infringing its patents related to neural networks. The University of Tennessee Research Foundation's complaint, filed on Monday and made ⁠public ⁠on Tuesday, said that Anthropic's AI systems violate its patents on machine-learning technology inspired by neuroscience. The lawsuit is thought to be the first patent infringement case against Anthropic. A California federal judge on Monday approved the company's landmark $1.5 billion settlement of a class ⁠action copyright lawsuit brought by a group of authors over its use of their work to ⁠train AI. "Anthropic's cavalier approach to others' intellectual property rights in the development of its products extends beyond the use of copyrighted material," the foundation said in its complaint. "We disagree with the allegations and intend to defend this case vigorously," an Anthropic spokesperson said in response to the lawsuit. Spokespeople for the foundation did not immediately respond to a request for comment on the lawsuit. The Knoxville, Tennessee, organisation ⁠argued that Anthropic's systems infringe two patents covering "significant contributions to the fields of artificial intelligence, machine learning, neuromorphic computing, and neuroscience-inspired computing" invented by the university's professors. It asked the court for an unspecified amount of monetary damages and an order blocking Anthropic from infringing its patents.

Anthropic now faces University of Tennessee patent lawsuit

Anthropic is now facing a lawsuit in Delaware from the University of Tennessee Research Foundation, or UTRF, which says the company used university-owned neural network inventions without getting a license. In what looks to be the first known patent case against Anthropic, the complaint points to U.S. Patent Nos. 10,019,470 and 10,095,718. The filing names Claude Code and Anthropic's broader software architecture, and it specifically references neuroscience-inspired network design, reuse, background scheduling, and a memory consolidation engine. UTRF is asking for damages and an injunction. Anthropic has rejected the allegations and says it'll fight the case aggressively. If you keep an eye on AI legal battles, this one matters, because it moves the argument away from training data and onto the underlying technology itself. The patents trace back to the University of Tennessee's TENNLab. UTRF says the lab has been working on brain-inspired computing since 2014 under Garrett Rose, James Plank, Catherine Schuman, and Ahmedullah Aziz, and that work has produced seven issued patents, pending applications, and frameworks known as NIDA and DANNA. The lawsuit landed just days after a judge signed off on Anthropic's $1.5 billion settlement with authors over pirated books, something UTRF casts as part of a broader pattern of ignoring intellectual property rights. You can follow the case through Delaware court filings. If it starts to gain traction, other universities may try similar patent claims too, even if those cases are harder to prove when the AI systems involved are opaque.