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Abstract

The US Patent and Trademark Office (USPTO) is the federal government agency responsible for evaluating and granting patent and trademark applications. In 2015, the USPTO employed approximately 8,000 patent examiners who granted nearly 300,000 patents to inventors. As of April 2016, it took roughly 26 months for a patent application to move through the evaluation process, which exceeded the office's processing goal of 20 months. In August 2016, Andrew Hirshfeld, the commissioner for patents at the USPTO, considered the current state of patent examination and future possibilities. In recent years, a number of new and exciting tools enabled by advances in telework, machine learning, and other approaches had emerged. Hirshfeld hoped to maximize these tools' utility in order to enhance patent examiners' work and productivity. Helping examiners become more productive could in turn help the USPTO achieve its joint goals of processing patent applications more quickly and granting better quality patents. But the new tools and organizational changes would bring challenges too. Any changes would have to be implemented at the grassroots of the USPTO organization, and ongoing pilots would not be successful without the buy-in and cooperation of both individual examiners as well as the union.
Industry:
Size:
Large
Other setting(s):
2009-2016

About

Abstract

The US Patent and Trademark Office (USPTO) is the federal government agency responsible for evaluating and granting patent and trademark applications. In 2015, the USPTO employed approximately 8,000 patent examiners who granted nearly 300,000 patents to inventors. As of April 2016, it took roughly 26 months for a patent application to move through the evaluation process, which exceeded the office's processing goal of 20 months. In August 2016, Andrew Hirshfeld, the commissioner for patents at the USPTO, considered the current state of patent examination and future possibilities. In recent years, a number of new and exciting tools enabled by advances in telework, machine learning, and other approaches had emerged. Hirshfeld hoped to maximize these tools' utility in order to enhance patent examiners' work and productivity. Helping examiners become more productive could in turn help the USPTO achieve its joint goals of processing patent applications more quickly and granting better quality patents. But the new tools and organizational changes would bring challenges too. Any changes would have to be implemented at the grassroots of the USPTO organization, and ongoing pilots would not be successful without the buy-in and cooperation of both individual examiners as well as the union.

Settings

Industry:
Size:
Large
Other setting(s):
2009-2016

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