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Recentive sets the baseline rule for machine learning eligibility

2025-04-18Fed. Cir.

Recentive Analytics, Inc. v. Fox Corp., 134 F.4th 1205 (Fed. Cir. Apr. 18, 2025), No. 2023-2437

Four patents claimed the use of machine learning models to generate television broadcast schedules and network maps. The Federal Circuit affirmed dismissal under § 101 and held that claims doing no more than applying established methods of machine learning to a new data environment, without disclosing improvements to the machine learning models themselves, are ineligible. The court left open how large an improvement must be and how much empirical support a patentee must supply.

What it changesThe holding is narrow on its face and broad in the hands of an examiner. Treat improvements to the model as the thing being patented and describe them structurally, and expect to answer the questions Recentive left open with data in the specification rather than argument.

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