Artificial intelligence (AI) is increasingly becoming a valuable tool for detecting illegal activities and holding offenders accountable. Among the most advanced AI technologies, facial recognition is widely used by law enforcement agencies for crime detection and prevention. This study aims to (i) analyze the use of artificial intelligence in law enforcement and (ii) identify the drawbacks of AI. A total of 75 respondents were selected from Kanyakumari and Tirunelveli districts, using simple random sampling due to time constraints. Among the respondents, 38 were from Tirunelveli and 37 from Kanyakumari. The Garrett ranking method was employed to analyze the data. The study found that facial recognition ranked first with a Garrett score of 62.1, followed by language processing with a score of 58.97. The study concluded that facial recognition technology significantly improves the accuracy and efficiency of crime profiling, while language processing aids in overcoming language barriers during investigations.