Insights and updates on patent technology, law, and innovation
In 2019, we trained a first-of-its-kind machine learning model to learn the law based on how it is applied by courts, combining common law principles with the Distributional Hypothesis from NLP. This pioneering work was widely cited by Thomson Reuters, LexisNexis, Microsoft, and others.
Read More →Finding the right patent lawyer for your high-tech invention can be challenging. Learn how to identify and select experienced counsel who understand your technology.
Read More →How NLP on millions of USPTO filings can match your niche invention to lawyers with truly similar experience — moving beyond broad, self‑claimed directory specialties.
Read More →How Stacks applies explainable AI and deep learning on prior cases and patents to support legal prediction, patent eligibility, and infringement research.
Read More →How Stacks uses data and machine learning to automate the Alice test for patent eligibility—bringing speed, scale, and consistency to a fluid area of law.
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