This review paper explores the scope of Artificial Intelligence (AI) in Forenscope, focusing on its transformative impact on forensic science. AI technologies, such as machine learning and computer vision, are revolutionizing forensic investigations by enhancing accuracy, speed, and efficiency. Key applications include automated analysis of digital evidence, facial recognition, and pattern detection in crime scene data. The integration of AI tools aids forensic experts in solving complex cases, reducing human error, and handling vast amounts of data effectively. Additionally, AI-driven systems are improving predictive policing and cyber forensics, offering advanced methods for identifying potential threats and criminal activities. Despite its promising capabilities, the implementation of AI in forensics faces challenges such as ethical concerns, the need for robust data privacy measures, and the requirement for specialized training for forensic professionals. This paper aims to provide a comprehensive overview of current AI applications in forensics, highlight their benefits and limitations, and suggest future research directions to overcome existing hurdles. By leveraging AI, the field of forensic science can achieve unprecedented levels of innovation and efficiency.