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Big Data Analytics in U.S. Courts

Uses, Challenges, and Implications

  • Dwight Steward
  • Roberto Cavazos
Book

Table of contents

  1. Front Matter
    Pages i-vii
  2. Dwight Steward, Roberto Cavazos
    Pages 1-7
  3. Dwight Steward, Roberto Cavazos
    Pages 9-19
  4. Dwight Steward, Roberto Cavazos
    Pages 21-55
  5. Dwight Steward, Roberto Cavazos
    Pages 57-67
  6. Dwight Steward, Roberto Cavazos
    Pages 69-74
  7. Dwight Steward, Roberto Cavazos
    Pages 75-84
  8. Back Matter
    Pages 85-86

About this book

Introduction

This Palgrave Pivot identifies the key legal, economic, and policy issues surrounding the allowance to use and interpret electronic data consistently and in a scientifically valid manner in U.S. courts. Evidence based on the analysis of large amounts of electronic data ("Big Data") plays an increasing role in civil court disputes, providing information that could not have been obtained from a witness stand. While Big Data evidence presents opportunities, it also presents legal and public policy challenges and concerns. How can one be sure that deviations found in Big Data fall outside the norm? If statistical analyses can be conducted and presented different ways, how can judges and juries make sense of conflicting interpretations? When does Big Data extraction stop being investigative and instead become an invasion of privacy? This book traces the history of Big Data use in U.S. courts, couples current case studies with legal challenges to explore key controversies, and suggests how courts can change the way they handle Big Data to ensure that findings are statistically significant and scientifically sound.

Keywords

electronic data Statistical analysis e-discovery electronic data discovery legal evidence lawsuits

Authors and affiliations

  • Dwight Steward
    • 1
  • Roberto Cavazos
    • 2
  1. 1.EmployStatsAustinUSA
  2. 2.Merrick School of BusinessUniversity of BaltimoreBaltimoreUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-31780-5
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Palgrave Pivot, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-030-31779-9
  • Online ISBN 978-3-030-31780-5
  • Series Print ISSN 2662-3862
  • Series Online ISSN 2662-3870
  • Buy this book on publisher's site