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Judicial analytics and the great transformation of American Law

Author:

Daniel L. ChenAuthors Info & Claims

Artificial Intelligence and Law, Volume 27, Issue 1

Pages 15 - 42

https://doi.org/10.1007/s10506-018-9237-x

Published: 01 March 2019 Publication History

Abstract

Predictive judicial analytics holds the promise of increasing efficiency and fairness of law. Judicial analytics can assess extra-legal factors that influence decisions. Behavioral anomalies in judicial decision-making offer an intuitive understanding of feature relevance, which can then be used for debiasing the law. A conceptual distinction between inter-judge disparities in predictions and inter-judge disparities in prediction accuracy suggests another normatively relevant criterion with regards to fairness. Predictive analytics can also be used in the first step of causal inference, where the features employed in the first step are exogenous to the case. Machine learning thus offers an approach to assess bias in the law and evaluate theories about the potential consequences of legal change.

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Cited By

Barysė DSarel R(2024)Algorithms in the court: does it matter which part of the judicial decision-making is automated?Artificial Intelligence and Law10.1007/s10506-022-09343-632:1(117-146)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s10506-022-09343-6
Adler RPaley ALi Zhao APack HServantez SPah AHammond KConsortium S(2022)A user-centered approach to developing an AI system analyzing U.S. federal court dataArtificial Intelligence and Law10.1007/s10506-022-09320-z31:3(547-570)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s10506-022-09320-z
Unger ANeto JFantinato MPeres STrecenti JHirota RMaranhão JWyner A(2021)Process mining-enabled jurimetricsProceedings of the Eighteenth International Conference on Artificial Intelligence and Law10.1145/3462757.3466137(240-244)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3462757.3466137
Show More Cited By

Index Terms

Judicial analytics and the great transformation of American Law
1. Applied computing
  1. Enterprise computing
  2. Law, social and behavioral sciences
    1. Law
2. Computing methodologies
  1. Artificial intelligence
  2. Machine learning

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Artificial Intelligence and Law

Artificial Intelligence and Law Volume 27, Issue 1

Mar 2019

110 pages

ISSN:0924-8463

Issue’s Table of Contents

© The Author(s) 2018.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2019

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European Research Council
Agence Nationale de la Recherche.
Schweizerische Zahnärzte-Gesellschaft (CH)National Science Foundation

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Cited By

Barysė DSarel R(2024)Algorithms in the court: does it matter which part of the judicial decision-making is automated?Artificial Intelligence and Law10.1007/s10506-022-09343-632:1(117-146)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s10506-022-09343-6
Adler RPaley ALi Zhao APack HServantez SPah AHammond KConsortium S(2022)A user-centered approach to developing an AI system analyzing U.S. federal court dataArtificial Intelligence and Law10.1007/s10506-022-09320-z31:3(547-570)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s10506-022-09320-z
Unger ANeto JFantinato MPeres STrecenti JHirota RMaranhão JWyner A(2021)Process mining-enabled jurimetricsProceedings of the Eighteenth International Conference on Artificial Intelligence and Law10.1145/3462757.3466137(240-244)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3462757.3466137
Atkinson KBench-Capon T(2019)Reasoning with Legal CasesProceedings of the Seventeenth International Conference on Artificial Intelligence and Law10.1145/3322640.3326695(12-21)Online publication date: 17-Jun-2019
https://dl.acm.org/doi/10.1145/3322640.3326695

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