The U.S. Patent and Trademark Office (USPTO) has recently recalibrated its approach to evaluating patents for emerging technologies, including artificial intelligence, software, and high-tech inventions. This shift, which has unfolded over the past several months under USPTO Director John A. Squires, marks a departure from a period of stringent rejections that discouraged many innovators from filing patents. The changes are prompting inventors in fields such as electronics, automotive technology, and medical devices to reconsider patent protection for their innovations.
Central to this recalibration is the precedential Appeals Review Panel decision Ex parte Desjardins, issued in late September 2025. The decision vacated a rejection of machine-learning claims, holding that improvements to the functioning of a machine-learning model can qualify as a patent-eligible technological improvement rather than an unpatentable abstract idea. As summarized by intellectual property analysts, the USPTO followed with examiner guidance directing that claims should not be dismissed at too high a level of generality and that AI systems should be treated as tools used within an invention.
Director Squires has described the USPTO as open to transformative technologies, including fields like quantum computing, cryptocurrency, and medical diagnostics. However, the shift is not a blank check. The new guidance binds patent examiners but not the courts, meaning patents granted under these relaxed standards could still be challenged in litigation if claims merely apply generic computing to a familiar idea. Thus, careful drafting remains essential to ensure a granted patent can withstand later challenges.
For inventors, the implications are significant. The USPTO is now less likely to reject AI, software, and computer-related claims outright under Section 101 as abstract, particularly when the invention improves how a computer or technical system works. Recent guidance narrows the mental process rationale often used to reject machine-learning claims, recognizing that models processing large volumes of data operate beyond human cognition. Inventors who were previously told an idea was too abstract may want to revisit that decision under the current framework.
Novelty, non-obviousness, and disclosure requirements remain unchanged, so a strong application still depends on careful drafting. The change reaches beyond pure software to connected devices, electronics, automotive systems, and diagnostic technologies that rely on data and machine learning. J. Baron Lesperance, founder of The Patent Baron, PLLC, noted that for a decade, many good engineering ideas never reached patent applications due to fear of rejection. He advises inventors in electronics, automotive tech, and medical devices to take a fresh look at their innovations.
The Patent Baron, PLLC, based in Michigan, specializes in intellectual property with a technical focus. Founder and patent attorney J. Baron Lesperance combines legal training with graduate degrees in electrical and computer engineering, bringing an engineer's perspective to patent drafting and prosecution. The firm handles patents in fast-moving fields such as electronics, connected systems, automotive technology, medical devices, and consumer products, along with trademark, copyright, and international filing work. Inventors interested in exploring how the USPTO's evolving stance might open a path for their ideas can schedule a consultation with the firm.
