Are AI Inventions Harder to Patent?

For a recent article published in Law360, we looked at data from the US Patent and Trademark Office (USPTO) covering both AI and non-AI inventions from 2015 to 2020. Our findings show a stark difference: AI-related inventions were rejected for not being eligible subject matter 45% of the time, compared to just 10% for non-AI inventions.

To qualify for patent protection under US law, inventions must demonstrate “subject matter eligibility,” meaning they must have a concrete and practical application. AI inventions have had higher rejection rates in part due to the abstract nature of AI technology, according to USPTO interpretations of current patent guidelines.

 

We also examined how different types of AI technologies fared. The USPTO categorizes AI into eight components. AI inventions categorized as "evolutionary computation" faced the toughest odds, with 58% of applications rejected. Those categorized as "vision" technologies had the easiest time, with only 33% of applications rejected.

 

For more details on why AI inventions are particularly challenging to patent and how the legal framework affects them, read “Examining Patent Subject Matter Eligibility Of AI Inventions.”

 

This informational piece, which may be considered advertising under the ethical rules of certain jurisdictions, is provided on the understanding that it does not constitute the rendering of legal advice or other professional advice by Goodwin or its lawyers. Prior results do not guarantee a similar outcome.