Anthropic makes Claude available to the entire Lawrence Livermore National Laboratory

The AI-FedRAMP partnership sets a new standard for US federal research.

The news marks a step change in the collaboration between private AI and US national laboratories.

On July 9, 2025, Anthropic announced—via press release and widely covered by specialized outlets—the full availability of Claude — in its Enterprise FedRAMP High version—for all approximately 10,000 employees of the Lawrence Livermore National Laboratory (LLNL), one of the Department of Energy’s leading federal research labs. This is no longer just a pilot program, but a large-scale rollout that involves the entire scientific and administrative infrastructure of the laboratory, including researchers, project managers, and support staff.

The Claude for Enterprise FedRAMP High solution meets the strictest security and compliance standards of the public sector.

The LLNL rollout is delivered through the Claude for Enterprise platform configured with FedRAMP High certification. This involves advanced controls on privacy, data management, and audit trails, as well as the ability to integrate AI into the sensitive workflows typical of federal research. Anthropic highlights that the service has been designed to meet all federal requirements, including data segmentation, continuous activity logging, and the physical separation of Claude models from non-certified cloud infrastructure. This enables the lab to use artificial intelligence even for processes involving regulated data, cybersecurity projects, and mission-critical scientific simulations.

A paradigm shift: generative AI becomes a daily operational tool inside national security laboratories.

With this initiative, LLNL positions itself as a pioneer in the responsible adoption of advanced AI solutions within the US public sector. Until now, the use of chatbots and language models in federal labs was often limited by regulatory barriers and data security concerns. The integration of Claude FedRAMP High removes many of these obstacles, allowing for collaboration among researchers, AI-assisted drafting of technical reports, automation of administrative procedures, semantic search of scientific repositories, and support for the analysis of large datasets. Anthropic also notes that the enterprise approach will enable the lab to customize prompts, policies, and filters, while maintaining granular control over access and authorization.

The partnership responds to federal pressure for accelerated adoption of reliable AI in the public sector.

The large-scale rollout of Claude at LLNL reflects recent directives from the White House and the Department of Energy, which urge the adoption of artificial intelligence in all federal agencies—as long as the highest levels of security and transparency are maintained. Anthropic was selected precisely for its “compliance first” approach, the ability to offer generative AI without compromising the federal security controls required by the country’s most sensitive labs. According to initial statements from LLNL IT managers, this model could be extended in the coming months to other National Labs and become the standard for any AI platform wishing to operate in US public administration.

A case study for the sector: Claude is already assisting researchers, administrative staff, and project managers in concrete use cases.

Initial feedback from LLNL employees has been positive: Claude has already been used to speed up the drafting of internal documents, facilitate the synthesis of project reports, identify patterns in experimental data, and streamline onboarding activities for new staff. Centralized adoption also enables consistent policy management, targeted user training, and the ability to monitor the impact of AI on the lab’s operational performance. For its part, Anthropic is working on new features and custom filters to address the specific needs of regulated scientific environments, promising further enhancements in the coming quarters.

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