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ARTICLE · 21 APRIL 2020

Machine Learning Patentability In 2019: 5 Cases Analyzed And Lessons Learned Part 5

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This article is the fifth in a five-part series. Each of these articles relates to the state of machine-learning patentability in the United States during 2019.

United StatesIntellectual Property
Conner Hutchisson
Conner Hutchisson
Alex Nie
Alex Nie
Hector A Agdeppa
Hector A Agdeppa
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Introduction

This article is the fifth in a five-part series. Each of these articles relates to the state of machine-learning patentability in the United States during 2019. Each of these articles describe one case in which the PTAB reversed an Examiner's Section-101 rejection of a machine-learning-based patent application's claims. The first article of this series described the USPTO's 2019 Revised Patent Subject Matter Eligibility Guidance (2019 PEG), which was issued on January 7, 2019. The 2019 PEG changed the analysis provided by Examiners in rejecting patents under Section 1011 of the patent laws, and by the PTAB in reviewing appeals from these Examiner rejections. This article describes another case where the PTAB applied the 2019 PEG to a machine-learning-based patent and concluded that the Examiner was wrong.

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