Artificial intelligence has become an important field in criminal evidence, especially in light of the possibility of criminal gangs exploiting these technologies. It is necessary to exploit artificial intelligence technology for the high-quality information it provides to serve criminal evidence. The problem of the study is around the scope of using artificial intelligence in criminal evidence in the pre-trial phase; and from this arises questions such as: how is artificial intelligence used in predictive policing, to what extent is it used in both collecting evidence and proving flagrante delicto, as well as in biometrics, and emerging forensic sciences, in addition to how to prove the criminal danger of the offender, and finally how to prove cybercrimes by generations of artificial intelligence. This study is based on the applied analytical approach, and aims to explore an important development in the field of criminal justice that contributes to improving the efficiency of criminal evidence processes and providing conclusive evidence that supports justice. The most important results of this study are: AI software is helping police at the street level. It can not only predict crime, but also enable police to prevent it. AI algorithms are used to detect the type of gunshots, and they allow reported burglaries and thefts to be compared and compiled in the police database. The smart crime scene application uses technologies such as crime scene camera and smart translator, allowing judicial officers to electronically document every piece of evidence. Artificial intelligence also offers many computer methods (such as computational intelligence, neural networks, intelligent detective agents, artificial immune systems, machine learning, data mining, pattern recognition, fuzzy logic, inference, etc.) which increasingly play an important role in proving and preventing cybercrime.