This research article conducts a comprehensive examination of live memory forensics for mobile devices, emphasizing the dynamic analysis of volatile memory. The research examines the effects of this methodology on real-time evidence collection in communication-oriented applications. The document delineates the methodology, experimental findings, and ramifications for forensic inquiries, offering significant insights for professionals and scholars in the discipline. Our process entails a comprehensive examination of diverse communication situations, each defined by distinct factors. By exploring the complex dynamics of mobile phone volatile memory, we want to improve the forensic community’s capacity for real-time evidence collection analysis (Carrier in Digit Investig 2:144–155, [1]). Our investigations demonstrate compelling patterns in the consistency of outgoing and arriving communications. Outgoing communications regularly demonstrate greater persistency than incoming ones. This discovery highlights the need of accounting for the directionality of communication in the development of forensic tools. Our results highlight the significance of accounting for the dynamic behavior of volatile memory in forensic investigations and demonstrate the dependability of our approach in real-time evidence collection, especially in communication-based applications (Sylve et al. in Proceedings of the 4th international conference on cybercrime forensics education and training (CFET), [2]). This study advances the development of forensic tools, offering a significant resource for professionals in the discipline. In conclusion, the integration of artificial intelligence (AI) with live memory forensics on mobile phones signifies a substantial progression in digital forensics. AI-driven solutions improve the capacity to collect and analyze volatile memory in real time, allowing investigators to identify advanced threats, such as malware or illegal data exfiltration, that may not leave remnants on permanent storage.