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Samuel S. Stone

Sam Stone focuses his practice on creating and implementing strategies to develop and enforce intellectual property portfolios. His patent counseling and portfolio development practice includes both domestic and international patents and opinion work on the topics of patentability, clearance, validity, and infringement. Sam’s patents have survived dozens of PTAB invalidity challenges, and have been licensed by some of the largest software and technology companies in the world. Sam also assists clients with IP due diligence in investment transactions, mergers and acquisitions, and initial public offerings (IPOs).

Sam counsels software and electronics companies operating in many industries, including autonomous vehicles and industrial automation, automated machine learning (AutoML), cybersecurity, biosensors, and high-performance computing. In addition, Sam advises technology and life science companies on strategies for protecting their investments in data science, artificial intelligence (AI), and machine learning (ML) in domains such as drug discovery, medical devices, medical imaging, agricultural technology, biomanufacturing, biological systems modeling, and ‘omics’ technologies.

In a precedential decision addressing the intersection of machine learning and patent law, the Federal Circuit affirmed the district court’s dismissal of Recentive Analytics, Inc.’s patent infringement claims against Fox Corp. and its affiliates. The court held that Recentive’s patents merely applied generic machine learning techniques to the fields of event scheduling and network map creation, and thus were directed to abstract ideas that lacked an inventive concept sufficient to satisfy the requirements of 35 U.S.C. § 101.
Continue Reading Federal Circuit: Machine Learning Patents Ineligible in Recentive Analytics, Inc. v. Fox Corp.

Integrating artificial intelligence and other emerging technologies has become a strategic imperative for companies aiming to expand their product offerings and remain competitive. Product development and legal teams must carefully

Continue Reading Managing Legal Risks in AI Implementation (Risk Management)