Within the first five minutes of Thursday’s hearing, a federal judge told the government its case had gotten weaker since she last saw it. That’s a rough way to open a legal argument, and it reflects just how shaky the Pentagon’s position has looked throughout this entire dispute.
According to Axios, U.S. District Judge Rita Lin said she saw no additional evidence justifying the Pentagon’s decision to designate Anthropic a national security and supply-chain risk. “If anything, it seems like the record, in some ways, has gotten worse for the government,” she said. She also noted she found no evidence that Anthropic could alter its models after delivery or “flip some kind of kill switch,” which appears to be central to the government’s fear about working with the company.
The backstory matters here. The conflict started when the Defense Department wanted to use Anthropic’s Claude model for, in their own words, “all lawful purposes,” including sensitive military and intelligence applications. Anthropic drew two hard lines: no mass surveillance of Americans, and no fully autonomous weapons. The Pentagon didn’t like that. Rather than negotiate, it escalated by slapping Anthropic with a national security designation. Anthropic sued.
At a March hearing, Lin already called the administration’s treatment of the company “troubling” and suggested it looked like “an attempt to cripple Anthropic.” She later issued a temporary block on the ban after finding Anthropic showed a likely chance of winning on the merits and would face serious harm without protection. Thursday’s hearing, where both sides asked for summary judgment in their favor, appears to have only deepened her skepticism of the government’s position.
This case sits at an uncomfortable intersection that the AI industry is watching closely. Anthropic isn’t just fighting a government contract dispute. It’s a company that actively helps shape AI safety policy, including rules the government itself relies on. The Pentagon treating it as a supply-chain threat while also wanting broad access to its models creates a contradiction that, apparently, the government has struggled to resolve in court.
The broader pattern is worth noting too. OpenAI, Google, and other major AI labs are all deepening their ties with defense and intelligence agencies. The question of what constraints, if any, AI companies can impose on government clients is not going away. This case could set a real precedent for how those negotiations play out, and who holds the leverage.
Lin is not expected to rule from the bench, and there’s no deadline. Whoever loses will almost certainly appeal. So this is far from over.
