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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.03411 |
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| _version_ | 1866913874792415232 |
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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 |