When Chief Justice of India S.A. Bobde backed the use of artificial intelligence (AI) to address the judicial system’s endemic delays, he made an exciting proposal. He believes AI can assist streamline the case load at courts, given the rising number of pending cases and vacancies in the judicial system. It will allow courts to prioritise big, convoluted cases that demand more human attention above simple, routine trials. Cyber-attacks are becoming more common, wreaking havoc on the criminal justice system. Understanding and combating the motive of crime is a critical challenge for law enforcement authorities. The goal of this study is to show how Artificial Intelligence and Machine Learning, as well as Predictive Analysis with soft evidence, may be used to sort out existing criminal records using metadata, and so forecast crime. Furthermore, it would undoubtedly assist police and intelligence agencies in intelligently investigating crimes by referring to the database, so assisting society in reducing crime through faster and more effective investigation processes. It would also let the analyst follow the activities and connections of various criminal elements based on their most current activities by extracting specific facts from documents or records. This research can be used to understand crime prediction. The current analysis displays the level of threat accuracy from 28 Indian states. When proper data is provided to this model, the chances of prediction are better and more accurate, according to study on the subject. The study also sought to learn more about the psychosocial aspects of crime and what motivates people to commit such crimes.