Anthony Sciuto

Associate

Overview

Anthony Sciuto is an associate in Crowell & Moring’s Chicago office, where his practice focuses on intellectual property matters.

While attending law school, Anthony worked as a computer engineer in the U.S. Department of Defense’s Chief Digital and Artificial Intelligence Office, where he supported AI assurance, test, and evaluation efforts. He also held analytical roles with the U.S. Drug Enforcement Administration and the U.S. Air Force.

Previously, Anthony was a consultant at EY, where he worked on a variety of data and analytics engagements across industries. He also completed internships with Ford Motor Company, Amazon, and the National Aeronautics and Space Administration, where he gained valuable engineering experience.

Anthony is a Certified Information Privacy Professional (CIPP/US).

Career & Education

    • Department of Defense
      Chief Digital and Artificial Intelligence Office, Computer Engineer, 2024–2025
    • Department of Justice: Drug Enforcement Administration
      Program Analyst, 2022–2024
    • Department of Defense
      U.S. Air Force, Operations Research Analyst, 2019–2022
    • Department of Defense
      Chief Digital and Artificial Intelligence Office, Computer Engineer, 2024–2025
    • Department of Justice: Drug Enforcement Administration
      Program Analyst, 2022–2024
    • Department of Defense
      U.S. Air Force, Operations Research Analyst, 2019–2022
  • EY

    Data and Analytics, Consultant, 2016–2019

    EY

    Data and Analytics, Consultant, 2016–2019

    • George Mason University, J.D., 2025
    • Air Force Institute of Technology, Graduate Certificate, Data Analytics, 2021
    • University of Michigan, M.S.E., Industrial and Operations Engineering, 2016
    • Oakland University, B.S.E., Industrial and Systems Engineering, 2014
    • George Mason University, J.D., 2025
    • Air Force Institute of Technology, Graduate Certificate, Data Analytics, 2021
    • University of Michigan, M.S.E., Industrial and Operations Engineering, 2016
    • Oakland University, B.S.E., Industrial and Systems Engineering, 2014
    • Illinois
    • Illinois

Anthony's Insights

Client Alert | 4 min read | 12.29.25

More Than Math: How Desjardins Recognizes AI Innovations as Patent-Eligible Technology

On November 4, 2025, the USPTO in Ex parte Desjardins designated as precedential an earlier Appeals Review Panel (ARP) decision overruling the Patent Trial and Appeal Board (Board), instead holding that claims directed to training a machine learning model are patent-eligible under 35 U.S.C. § 101 when they integrate a mathematical concept into a practical application that improves how the model operates. That precedential designation represents a material shift in legal precedent in the § 101 arena post-Alice, and it has already driven updates to the MPEP and examiner practice. As a result, Desjardins signals an adjustment in practice in favor of AI and software eligibility at the USPTO....

Anthony's Insights

Client Alert | 4 min read | 12.29.25

More Than Math: How Desjardins Recognizes AI Innovations as Patent-Eligible Technology

On November 4, 2025, the USPTO in Ex parte Desjardins designated as precedential an earlier Appeals Review Panel (ARP) decision overruling the Patent Trial and Appeal Board (Board), instead holding that claims directed to training a machine learning model are patent-eligible under 35 U.S.C. § 101 when they integrate a mathematical concept into a practical application that improves how the model operates. That precedential designation represents a material shift in legal precedent in the § 101 arena post-Alice, and it has already driven updates to the MPEP and examiner practice. As a result, Desjardins signals an adjustment in practice in favor of AI and software eligibility at the USPTO....