This brief examines the application of Regression Discontinuity Design (RDD) in crime and justice research, emphasizing its growing importance as a methodological tool. It identifies 67 relevant studies published since 1960, with a significant increase after 2014, showcasing RDD’s effectiveness in evaluating interventions and policies. The document highlights common assignment variables used in these studies, such as age, time/date, and risk assessment scores, while also discussing the distinction between sharp and fuzzy cutoffs. Additionally, it notes that most studies utilized individual-level data and were conducted retrospectively, indicating potential areas for future prospective research. The findings underscore the need for rigorous evaluations to inform evidence-based decision-making in criminal justice. Ultimately, the review aims to encourage researchers and policymakers to leverage RDD more frequently to enhance outcomes in crime and justice settings.