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About Our Law Firm

Headquartered within steps of the USPTO with an affiliate office in Tokyo, Oblon is one of the largest law firms in the United States focused exclusively on intellectual property law.

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Norman Oblon with Stanley Fisher and Marvin Spivak launched what was to become Oblon, McClelland, Maier & Neustadt, LLP, one of the nation's leading full-service intellectual property law firms.

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Outside the US, we service companies based in Japan, France, Germany, Italy, Saudi Arabia, and farther corners of the world. Our culturally aware attorneys speak many languages, including Japanese, French, German, Mandarin, Korean, Russian, Arabic, Farsi, Chinese.

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Oblon's professionals provide industry-leading IP legal services to many of the world's most admired innovators and brands.




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The United States Patent and Trademark Office (USPTO) issued final rules implementing the inventor's oath or declaration provisions of the America Invents Act (AIA) on August 14, 2012.

AI Patent Trends in the U.S. Patent Office: Is the U.S. Losing Its Lead?

  • February 25, 2021
  • Article

Associated Technologies

As noted in an earlier post on this blog (Using AI to Track AI Patents at the USPTO), the U.S. Patent and Trademark Office (USPTO) continues to see tremendous growth in the area of Artificial Intelligence (AI). While the USPTO’s October, 2020 Report “Inventing AI: Tracing the diffusion of artificial intelligence with U.S. patents” utilizes a broader set of metrics to gauge the number of AI filings generally, a simplified claims-based metric shows that U.S. applicants appear to be losing ground as the dominant filers in this field to increasingly diverse global competition. 

Patent searches performed on the USPTO Patent Application Full Text and Image Database and on the Patent Full Text and Image Database show that, since at least 2017, applicants from the United States have been the largest filers of AI patent applications as measured by those applications whose claims contain at least one of the phrases “neural network” and “machine learning.”  (By comparison, the number of published applications containing at least one of the phrases “neural network” and “machine learning” in the application in general, and not just in the claims, was 37,241 in 2020 as opposed to 8,197 when limited to the claims.) While that claims-based metric is not as all-encompassing as the USPTO’s set of metrics, it does help to identify applications that are directed to inventions where one of those exemplary AI components is sufficiently important to the application that it actually appears in the claims. 

As shown in Table I and illustrated in Figure 1, U.S. applicants increased their number of published AI claims-based patent applications in 2017 to 2020 by about 60% annually.

Table I

AI Patent Publications in U.S. By Applicant Country By Year
  2017 2018 2019 2020
US 1972 3434 5830 8197
JP 171 346 578 1080
CN 79 225 468 729
CA 63 102 206 282
GB 37 87 185 307
KR 98 220 415 799
DE 81 157 355 490
IL 68 110 141 227
183 437 847 1416
Total 2752 5118 9025 13527

Figure 1

However, during that same time period, the percentage of published applications with a U.S. applicant versus all applicants generally has decreased from 71.7 % to 60.6%.  Moreover, the percentage of applicants not from the U.S., Japan, Korea, China, Germany, Great Britain, Canada and Israel (i.e., applicants that were combined as “other” in Table I and Figure 1) increased from 7% to 10% in the same period.  Both of those trends show that U.S. applicants are facing competition from an increasingly diverse range of competitors that also have seen the value of seeking patent protection for their AI inventions in a growing number of technological fields.

While U.S. patentees similarly have led all other countries in obtaining granted patents over the same time period, the statistics on U.S. granted patents shows that here too the losing its lead.  As shown in Table II and illustrated in Figure 2, U.S. patentees increased their number of issued AI patent patents in 2017 to 2020 by about 70% annually, whereas Japanese applicants more than doubled their granted patents annually over the same period and Chinese applicants annually increased their granted patents by 2.5 times.

Table II

AI Patents in U.S. By Applicant Country By Year
  2017 2018 2019 2020
US 931 1367 2985 4967
JP 37 63 172 351
CN 19 37 128 291
KR 24 54 141 274
DE 35 51 104 200
CA 18 33 74 130
GB 9 15 50 130
IL 24 43 67 85
Other 76 139 290 593
Total 1173 1802 4011 7021

Figure 2

The tremendous growth in AI application filings is further going to be affected by the increasing number of hardware products and readily available AI software libraries that are making AI accessible to a greater portion of the inventing world.  Not only do companies like Google now support AI systems in the cloud, a number of AI accelerators (e.g., for performing machine vision processing) also are now available for even single board computers -- many for less than the cost of an undiscounted entity filing a new utility application.  The increased availability (and affordability) of AI resources will lead to AI-based innovations in industries that may have steered away from making investments in AI solutions in the past.  In general, we predict 2021 will herald in a substantial new wave of AI inventions and patents/applications from all over the globe.