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Developing an IP Strategy for AI in a Rapidly Evolving Legal Landscape

By Andrew (A.J.) Tibbetts & Samuel S. Stone on April 25, 2025
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Globally, many industries are experiencing intense competition as market leaders and would-be disruptors race to deploy artificial intelligence (AI) in products, services, and business processes. Driven by substantial investment and rapid innovation, AI tools are already being used to automate high-level tasks, enhance productivity, and guide decision-making across industry ranging from healthcare to transportation to construction, among others.

Read “Developing an IP Strategy for AI in a Rapidly Evolving Legal Landscape,” authored by Andrew (A.J.) Tibbetts and Samuel Stone for Lawyers Weekly.

Photo of Samuel S. Stone 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…

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.

Read more about Samuel S. StoneSamuel S.'s Linkedin Profile
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  • Posted in:
    Corporate & Commercial
  • Blog:
    Emerging Technology Views
  • Organization:
    Greenberg Traurig, LLP
  • Article: View Original Source
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