For over twenty-five years, Jennifer has led complex litigations, arbitrations, and appeals for U.S. and multinational clients in a wide array of areas, including antitrust, consumer fraud, communications, civil rights, and international bondholder disputes. Her experience includes multidistrict litigations, class actions, and direct action proceedings. Jennifer is a member of the Executive Committee of the Committee for the Support of the Antitrust Laws, for which she also serves as Co-Chair of the State Attorney General Committee and has authored an amicus brief. Jennifer also Co-Chairs the Subcommittee on MDL and Class Action Practice for the ABA’s Mass Torts Committee. Jennifer also has been a member of Sedona Working Group 1 and the EDRM Advisory Council. A prolific author, regularly Jennifer contributes articles to the National Law Review, Law360, and is a co-author of numerous PLC Practice Notes. She has also contributed two chapters on international civil litigation to the ABA’s deskbook “International Aspects of U.S. Litigation,” published in 2017. Jennifer also speaks throughout the country on antitrust complex litigation, MDL practice, and discovery issues with organizations such as the ABA, the Sedona Conference, the American Antitrust Institute, the Advanced E-Discovery Institute, and the Law and Economic Center of the Antonin Scalia Law School.
With a passion for community involvement, Jennifer has been a Trustee for the Lawyers’ Committee for Civil Rights Under Law and helped co-found the Three and a Half Acres Yoga Foundation. Jennifer also established a fund at her alma mater, Boston University, to assist students with emergency financial needs.
Prior to joining Seeger Weiss in 2016, Jennifer was a litigation partner in the New York office of Proskauer Rose, following positions with Solomon, Zauderer, Ellenhorn, Frischer & Sharp (New York), and Munger, Tolles & Olson (Los Angeles). She served as a law clerk for the Hon. Stephen V. Wilson, Central District of California.
Prior results do not guarantee or predict a similar outcome with respect to any future matter.
