Recent research in digital forensic examination and analysis has introduced innovative methodologies, tools, and frameworks to enhance the efficiency, accuracy, and reliability of digital investigations. Studies emphasize the integration of artificial intelligence, large language models, and standardized evaluation metrics to improve data processing, artifact identification, and timeline reconstruction. Collaborative efforts aim to develop next-generation forensic tools capable of handling complex data sources, such as encrypted or damaged devices, and to establish indigenous forensic repositories to support law enforcement and research communities. These advancements reflect the ongoing evolution of digital forensics to address the challenges posed by emerging technologies and the increasing complexity of digital evidence.