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Main Authors: Dutz, Melissa, Shao, Han, Blum, Avrim, Cohen, Aloni
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2506.03411
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author Dutz, Melissa
Shao, Han
Blum, Avrim
Cohen, Aloni
author_facet Dutz, Melissa
Shao, Han
Blum, Avrim
Cohen, Aloni
contents Strategic litigation involves bringing a legal case to court with the goal of having a broader impact beyond resolving the case itself: for example, creating precedent which will influence future rulings. In this paper, we explore strategic litigation from the perspective of machine learning theory. We consider an abstract model of a common-law legal system where a lower court decides new cases by applying a decision rule learned from a higher court's past rulings. In this model, we explore the power of a strategic litigator, who strategically brings cases to the higher court to influence the learned decision rule, thereby affecting future cases. We explore questions including: What impact can a strategic litigator have? Which cases should a strategic litigator bring to court? Does it ever make sense for a strategic litigator to bring a case when they are sure the court will rule against them?
format Preprint
id arxiv_https___arxiv_org_abs_2506_03411
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Machine Learning Theory Perspective on Strategic Litigation
Dutz, Melissa
Shao, Han
Blum, Avrim
Cohen, Aloni
Machine Learning
Computer Science and Game Theory
Strategic litigation involves bringing a legal case to court with the goal of having a broader impact beyond resolving the case itself: for example, creating precedent which will influence future rulings. In this paper, we explore strategic litigation from the perspective of machine learning theory. We consider an abstract model of a common-law legal system where a lower court decides new cases by applying a decision rule learned from a higher court's past rulings. In this model, we explore the power of a strategic litigator, who strategically brings cases to the higher court to influence the learned decision rule, thereby affecting future cases. We explore questions including: What impact can a strategic litigator have? Which cases should a strategic litigator bring to court? Does it ever make sense for a strategic litigator to bring a case when they are sure the court will rule against them?
title A Machine Learning Theory Perspective on Strategic Litigation
topic Machine Learning
Computer Science and Game Theory
url https://arxiv.org/abs/2506.03411