Good patents support innovation while bad patents hinder it. Bad patents drive up costs for innovative companies that must choose between paying undeserved license fees or staggering litigation costs. That’s why today we are excited to launch a new version of Google Patents, which has the power to improve patent quality by helping experts and the public find the most relevant references for judging whether a patent is valid.
The ability to search for the most relevant references--the best prior art--is more important today than ever. Patent filings have steadily increased with 600,000 applications filed and 300,000 patents issued in 2014 alone. At the same time, litigation rates are continuing their dramatic climb, with patent trolls bringing the majority of cases, hitting companies of every size in industries from high-tech to main street.
Traditional searches often focus on other patents. But the best prior art might be a harder-to-find book, article, or manual. That was true in the “shopping cart” patent case. After many companies paid out millions in settlements, a court finally struck down the patent in light of two books that were not found by the examiner who issued the patent.
The new Google Patents helps users find non-patent prior art by cataloguing it, using the same scheme that applies to patents. We’ve trained a machine classification model to classify everything found in Google Scholar using Cooperative Patent Classification codes. Now users can search for “autonomous vehicles” or “email encryption” and find prior art across patents, technical journals, scientific books, and more.
We’ve also simplified the interface, giving users one location for all patent-related searching and intuitive search fields. And thanks to Google Translate, users can search for foreign patent documents using English keywords. As we said in our May 2015 comments on the PTO’s Patent Quality Initiative, we hope this tool will make patent examination more efficient and help stop bad patents from issuing which would be good for innovation and benefit the public.
Posted by Allen Lo, Deputy General Counsel for Patents and Ian Wetherbee, Software Engineer for Google Patents
The ability to search for the most relevant references--the best prior art--is more important today than ever. Patent filings have steadily increased with 600,000 applications filed and 300,000 patents issued in 2014 alone. At the same time, litigation rates are continuing their dramatic climb, with patent trolls bringing the majority of cases, hitting companies of every size in industries from high-tech to main street.
Traditional searches often focus on other patents. But the best prior art might be a harder-to-find book, article, or manual. That was true in the “shopping cart” patent case. After many companies paid out millions in settlements, a court finally struck down the patent in light of two books that were not found by the examiner who issued the patent.
The new Google Patents helps users find non-patent prior art by cataloguing it, using the same scheme that applies to patents. We’ve trained a machine classification model to classify everything found in Google Scholar using Cooperative Patent Classification codes. Now users can search for “autonomous vehicles” or “email encryption” and find prior art across patents, technical journals, scientific books, and more.
We’ve also simplified the interface, giving users one location for all patent-related searching and intuitive search fields. And thanks to Google Translate, users can search for foreign patent documents using English keywords. As we said in our May 2015 comments on the PTO’s Patent Quality Initiative, we hope this tool will make patent examination more efficient and help stop bad patents from issuing which would be good for innovation and benefit the public.
Posted by Allen Lo, Deputy General Counsel for Patents and Ian Wetherbee, Software Engineer for Google Patents
