This research article examines the integration of predictive policing technologies within Indian law enforcement, analyzing its effectiveness in crime prevention, and its implications on community trust and civil liberties. Utilizing interdisciplinary approaches from criminology, data science, and legal studies, the paper evaluates the performance of predictive algorithms in detecting crime patterns and optimizing resource distribution. It places a significant emphasis on the ethical challenges posed by these technologies, especially concerns related to bias, discrimination, and privacy violations that disproportionately impact marginalized communities. The study also critically assesses the alignment of predictive policing practices with social justice and civil rights, interrogating the implications for constitutional rights and procedural fairness. Furthermore, it investigates the legal frameworks governing the use of predictive policing in India, comparing local regulations with international best practices to suggest regulatory pathways that ensure responsible technology deployment. This article seeks to offer thorough insights into the use of predictive policing in Indian law enforcement, helping stakeholders, including lawmakers and police officers, to understand how to navigate the intricate terrain of contemporary policing while protecting citizens’ rights and safety.