The U.S. Patent and Trademark Office (USPTO) announced today that it is deploying an artificial intelligence (AI) tool that will finally solve the problem of patent eligibility analysis for examiners.

The AI system is called “McConaughey Agentic Tasking Technology Helping Examiner Workload,” or “MATTHEW,” for short. It is the latest tool launched for use in the examination process, following the  Artificial Intelligence Search Automated Pilot Program, or “ASAP!,” for patent prior art references followed and the Trademark Classification Agentic Codification Tool, or “Class ACT,” for trademark searching.

According to the press release, MATTHEW will “help examiners tackle the thorniest of eligibility questions as to whether claims presented are an abstract idea or a patent-eligible invention.”

With the launch of this new tool, the U.S. patent system’s well-documented problems with eligibility since Alice v. CLS Bank will be largely solved. With an AI system evaluating eligibility, courts will be unable to invalidate claims that have been granted using MATTHEW’s fool-proof algorithm.

Squires has also suspended all precedent on eligibility, including Desjardins, Alice, and Mayo. “Basically, in terms of eligibility, if MATTHEW says your invention is ‘Alright, Alright, Alright,’ then it’s ‘Alright, Alright, Alright’ with the USPTO,” he remarked.

In response to the USPTO’s announcement, a U.S. Court of Appeals for the Federal Circuit judge, who spoke on condition of anonymity to safeguard their anti-patent street credibility, on Wednesday indicated that they pledge to uphold all eligibility determinations made using MATTHEW.

“We have had no idea how to determine Section 101 eligibility for the last decade plus, so we welcome this solution and look forward to affirming all USPTO analyses going forward,” said the judge. “In fact, don’t bother appealing on eligibility grounds anymore—what MATTHEW says, goes,” they added.

For more information on the USPTO’s groundbreaking new AI system, please visit the USPTO website, and:

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