Recently, the United States Patent and Trademark Office (USPTO) announced the release of an artificial intelligence (AI) agent software called the Trademark Classification Agentic Codification Tool (referred to as "Class ACT"), aiming to improve the efficiency of trademark application preprocessing.
Trademark applications with logos, designs, non-traditional spellings or no international classes have had the long-standing problem of difficult retrieval. Moreover, the surge in the number of trademark applications in recent years has caused the traditional manual classification process to take several months, directly affecting examination efficiency and customer experience.
Class ACT fixes this problem. It can immediately assign international classes to unclassified applications and provide design search codes and pseudo marks that make these records searchable.
This function will completely change the current situation of traditional trademark classification — previously, it took 5 months to complete classification and design search coding, while Class ACT shortens this process to 5 minutes, greatly improving the efficiency of trademark application preprocessing.
All information provided by Class ACT will still be manually reviewed by the USPTO to ensure information accuracy. At the same time, relevant information can be available to examining attorneys and the public almost immediately, ensuring both efficiency and quality.
In the future, with the USPTO's continuous exploration and application of AI technology in the field of trademarks, it is expected to further optimize the entire process of trademark application and examination, providing a new reference for the standardized and efficient development of the global trademark industry.
Source:https://www.uspto.gov/about-us/news-updates/trademark-classification-goes-agentic-usptos-announcement-class-act-assistant