Overview
Insights
Awards

As a software engineer turned litigator, Jason brings a singular combination of real-world legal experience and hands-on technical expertise to each eDiscovery engagement. A staunch advocate of continuous process improvement and innovative legal service delivery, Jason advises colleagues and clients on how to deploy the latest technologies and best practices to efficiently guide matters from pre-litigation information governance through the entire eDiscovery lifecycle. In doing so, Jason leverages well-honed skills in legal project management, statistical analysis, and machine learning to promote efficiency, mitigate risk, maintain accuracy, and stay under budget. Jason also serves on the firm’s Innovation Committee and is a leader of the firm’s Generative AI Task Force.

Jason regularly advocates for clients before special masters and regulators, during meet-and-confer conferences, and in written submissions. He also counsels clients on all legal and technical facets of data management, including the implementation of eDiscovery policy frameworks, Microsoft 365 and Google Workspace deployments, proportional preservation and collection strategies, forensic examinations, structured data considerations, and technology-assisted review.

Jason’s strong technical background includes substantial computer science coursework while an undergraduate at Yale University, followed by work experience as a software engineer for Sapient, a leading technology services consultancy, before attending Harvard Law School.

Jason has represented clients on a wide variety of complex commercial, labor and employment, and intellectual property disputes in state and federal courts spanning a broad array of industries, and has taken and defended more than a dozen depositions, many of which centered on technical topics. He also has achieved very favorable results for several pro bono clients. In 2009, he represented a former inmate as co-lead counsel in a week-long excessive-use-of-force trial in the Southern District of New York. Jason obtained a complete plaintiff’s verdict and a $750,000 damages award. He also argued a criminal appeal before the New York Appellate Division, obtained a favorable settlement for a film editor seeking unpaid wages and editing credit on a Sundance award-winning documentary, and recovered a domain name from a cybersquatter on behalf of Save the Children. While at Harvard Law School, Jason worked at the Berkman Center for Internet & Society, where he contributed to an amicus brief addressing novel copyright issues that was submitted at the request of the court.

  • Legal 500 United States for Dispute Resolution: E-Discovery (2024-2025)
  • Recognized as an “AI Visionary” by Relativity in its inaugural 2022 AI Visionaries list
  • Named a “Future Star” in 2009 by Benchmark Litigation: The Definitive Guide to America’s Leading Litigation Firms & Attorneys
  • Received the Legal Aid Society Pro Bono Award in 2006 and 2009
  • Honored with the New York State Bar Association’s 2008 Empire State Counsel Award
  • Designated as an Analytics Specialist by Relativity

As a software engineer turned litigator, Jason brings a singular combination of real-world legal experience and hands-on technical expertise to each eDiscovery engagement. A staunch advocate of continuous process improvement and innovative legal service delivery, Jason advises colleagues and clients on how to deploy the latest technologies and best practices to efficiently guide matters from pre-litigation information governance through the entire eDiscovery lifecycle. In doing so, Jason leverages well-honed skills in legal project management, statistical analysis, and machine learning to promote efficiency, mitigate risk, maintain accuracy, and stay under budget. Jason also serves on the firm’s Innovation Committee and is a leader of the firm’s Generative AI Task Force.

Jason regularly advocates for clients before special masters and regulators, during meet-and-confer conferences, and in written submissions. He also counsels clients on all legal and technical facets of data management, including the implementation of eDiscovery policy frameworks, Microsoft 365 and Google Workspace deployments, proportional preservation and collection strategies, forensic examinations, structured data considerations, and technology-assisted review.

Jason’s strong technical background includes substantial computer science coursework while an undergraduate at Yale University, followed by work experience as a software engineer for Sapient, a leading technology services consultancy, before attending Harvard Law School.

Jason has represented clients on a wide variety of complex commercial, labor and employment, and intellectual property disputes in state and federal courts spanning a broad array of industries, and has taken and defended more than a dozen depositions, many of which centered on technical topics. He also has achieved very favorable results for several pro bono clients. In 2009, he represented a former inmate as co-lead counsel in a week-long excessive-use-of-force trial in the Southern District of New York. Jason obtained a complete plaintiff’s verdict and a $750,000 damages award. He also argued a criminal appeal before the New York Appellate Division, obtained a favorable settlement for a film editor seeking unpaid wages and editing credit on a Sundance award-winning documentary, and recovered a domain name from a cybersquatter on behalf of Save the Children. While at Harvard Law School, Jason worked at the Berkman Center for Internet & Society, where he contributed to an amicus brief addressing novel copyright issues that was submitted at the request of the court.

  • Legal 500 United States for Dispute Resolution: E-Discovery (2024-2025)
  • Recognized as an “AI Visionary” by Relativity in its inaugural 2022 AI Visionaries list
  • Named a “Future Star” in 2009 by Benchmark Litigation: The Definitive Guide to America’s Leading Litigation Firms & Attorneys
  • Received the Legal Aid Society Pro Bono Award in 2006 and 2009
  • Honored with the New York State Bar Association’s 2008 Empire State Counsel Award
  • Designated as an Analytics Specialist by Relativity
  • Co-chair, Electronic Discovery Committee of the New York State Bar Association’s Commercial and Federal Litigation Section
  • Member, Sedona Conference Brainstorming Group on Artificial Intelligence and Machine Learning in Discovery (Working Group 1 on Electronic Document Retention and Production)
  • Member, Sedona Conference Brainstorming Group on Practical Guidance for Discovery of Mobile Device Data (Working Group 1 on Electronic Document Retention and Production)
  • Conducted eDiscovery guest lectures at Yale Law School, University of Pennsylvania Carey Law School, and Fordham Law School
  • Member, New York E-Discovery Counsel Roundtable

Education

  • Harvard Law School, J.D., 2004
  • Yale University, B.A., cum laude, 2000, cognitive psychology

Bar Admissions

  • New York2005

Court Admissions

  • U.S. District Court, Southern District of New York (2005)
  • U.S. District Court, Eastern District of New York (2005)