Litigation Prediction

Litigation Prediction is a computational method within claims analytics that forecasts the likelihood, outcome, or duration of legal disputes by analyzing historical case data, legal features, and contextual variables to support decision-making in litigation risk assessment.

105

Publications

6.4K

Citations

239

Authors

140

Institutions

Publications per year

2017–2026

57

Authors

239

  1. DA
    David Arditi

    Illinois Institute of Technology, United States

    7 publications · 526 citations

    7

    h-index

  2. JB
    Josh Blackman

    South Texas College of Law, United States

    4 publications · 571 citations

    4

    h-index

  3. AN
    Anthony Niblett

    University of Toronto, Canada

    4 publications · 266 citations

    4

    h-index

  4. TP
    Thaveeporn Pulket

    Illinois Institute of Technology, United States

    4 publications · 228 citations

    4

    h-index

  5. BA
    Benjamin Alarie

    University of Toronto, Canada

    3 publications · 249 citations

    3

    h-index

1–5 of 239

Venues

  1. SSRN Electronic Journal

    Repository · 10 publications · 554 citations

    10

    h-index

  2. Journal of Computing in Civil Engineering

    6 publications · 474 citations

    6

    h-index

  3. Information Processing & Management

    4 publications · 174 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 183 citations

    4

    h-index

  5. PLoS ONE

    3 publications · 488 citations

    3

    h-index

1–5