USPTO Has Launched Over 20 AI Capabilities

The patent agency appointed a chief AI officer and implemented new tools to streamline internal workflows.

Updated on Sept. 23, 2026 in Artificial Intelligence

Isometric editorial illustration featuring a geometric lamp and stacked folders, representing digital workflow integration at a federal patent office. — The U.S. Patent and Trademark Office has deployed over 20 artificial intelligence capabilities to streamline agency operations and enhance patent examination workflows. AI Illustration. Upload story photo >

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The U.S. Patent and Trademark Office has launched more than 20 artificial intelligence capabilities to support agency operations. These tools include an internal chatbot and the Scout large language model, which currently serves thousands of active users.

Why it matters

The agency aims to leverage AI as a supportive assistant to increase the speed and depth of problem-solving for patent examiners. This integration is supported by an enterprise-wide shift toward cloud-based infrastructure to facilitate advanced computing tasks.

The Scout large language model currently sustains over 7,000 daily and weekly users. Meanwhile, the office reports that 80 percent of its total infrastructure is already cloud-based.

The players

U.S. Patent and Trademark Office

This federal agency is responsible for granting U.S. patents and registering trademarks.

Jonathan Spencer

He serves as the chief AI officer for the U.S. Patent and Trademark Office.

The details

To manage these tools, the USPTO has established an enterprise adoption team, an AI hub, an academy, and a governance council. AI is also being deployed in call centers to mitigate service deficiencies.

In September 2026, the agency appointed Jonathan Spencer as its chief AI officer.
An internal service chatbot portal was rolled out in September 2026.
Full transition to cloud-based operations is expected by June 2027.

The Tech Race

The agency's move reflects a broader federal push to modernize legacy systems through cloud integration and machine learning. This initiative mirrors the shift of major financial and legal institutions replacing manual review processes with automated, generative models.

Patent applicants may experience faster processing times as examiners utilize these AI assistants to accelerate their reviews. Call center users will also encounter automated systems designed to address common service inquiries more efficiently.

The takeaway

Public agencies are increasingly adopting large language models to handle high volumes of complex documentation. These deployments demonstrate that AI can effectively augment bureaucratic workflows when paired with modern cloud infrastructure.