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Stanford University

2021 Compliance

  • Computational Antitrust
    "Computational antitrust” consists of using legal informatics (i.e., computational tools—such as AI and blockchain—applied to the legal field) to assist competition procedures and analyses. On the one hand, it benefits companies by increasing their ability to anticipate the anti-competitive effects of their practices and comply with competition rules. On the other hand, it allows competition agencies to speed up and improve their analyses, thus bringing more companies to comply with these rules. Overall, computational antitrust seeks to increase the level of legal certainty and accuracy of decisions, therefore benefiting both companies and agencies.

Meet the Jury

  • Sarah Noel Flanagan
    Alexandre Barreto De Souza
    Deborah Healey
    Zhijin Liu
    Maria Coppola
  • Jodie Williams
    Marie-Pascale Heusse
    Edouard Verté
    Emmanuel Combe
    Georg Götz
  • Clara Ingen-Housz
    Andreas Stephan
    William E. Kovacic
    Timothy Lamb
    Rod Sims
  • Isabelle De Silva
    Andrey Tsyganov
    Susan Ning
    Isolde Goggin
    Alex Kommatas
  • Eva Cole
    Roberto Rustichelli
    Gönenç Gürkaynak
    Achet-Billa Saleh
    Renée DuPree
  • Dr. Sanjay Kumar Pandey
    Marceline Tournier
    Andreas Mundt
    Nicolas Charbit
    Martin d'Halluin
  • Thomas Cheng Kin-Hon
    Wouter Wils
    Damien Neven
    Joshua H. Soven
    Daniel Sokol
  • Anne Riley
    Olivier Guersent
    Martijn Snoep
    Matthew Boswell
    Fanny Méjane
  • Brian R. Henry
    Dirk Middelschulte
    Julia Holtz
    Georges Decocq
    Johanne Peyre
  • Cani Fernández
    Sia Aik Kor
    Douglas H. Ginsburg
See all the members of the jury

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