A Machine Learning Theory Perspective on Strategic Litigation
Researchers have developed a new framework that uses machine learning theory to analyze strategic litigation. This model examines how a litigator can influence future legal decisions by strategically selecting cases to establish new precedents. The study explores the optimal selection of cases, even those with a high probability of being lost, to shape the learning algorithms used by lower courts. AI
IMPACT Introduces a novel theoretical approach to understanding legal strategy using ML concepts.