Frances M. Green and Bryan Hahm, attorneys in the Employment, Labor & Workforce Management, and the Health Care and Life Sciences practice, respectively, co-authored an article in the May issue of The Computer & Internet Lawyer, titled “Agentic AI in Government Innovation: A Race Without a Referee.”
Following is an excerpt:
As of February 2026, the United States federal government maintains active vendor arrangements or pilot programs with frontier large language model (LLM) providers and enterprise software vendors. These arrangements reflect a clear trend by which federal branches and agencies are matching the pace of private-sector actors in rapidly adopting agentic and generative AI tools and systems. What is less clear is how existing oversight, procurement, and accountability frameworks are adapting to that shift.
The U.S. Government Streamlines AI Adoption
In December 2022, the U.S. government implemented the FedR AMP Authorization Act, formalizing FedR AMP as a statutory mechanism to accelerate security assessments for cloud-based technology partner- ships. FedRAMP is a "Government-wide program that provides a standardized, reusable approach to security assessment and authorization for cloud computing products and services that process unclassified information used by agencies."
In July 2024, FedR AMP's policy memo was updated to focus on "rapidly increasing the size of the FedR AMP Marketplace by evolving new FedR AMP authorization paths, streamlining processes through automation, and encouraging government-wide adoption of commercial cloud services." As such, and in tandem with express White House Directives, there has been a robust adoption of AI and AI-adjacent solutions. FedRAMP's evolution reduces procurement friction at the administrative level and centralizes determinations about risk, reliability, and security before agencies even understand the guardrails or outer limits of proposed use.
