The rapid advancement of digital forensics technologies has significantly transformed the landscape of cybercrime investigation. This paper explores recent developments in digital forensic methodologies, including cloud forensics, mobile device forensics, and the use of artificial intelligence (AI) and machine learning algorithms to enhance evidence collection and analysis. These technologies facilitate the identification and recovery of digital evidence, providing law enforcement agencies with crucial tools to combat the increasing complexity of cybercrimes. However, the field faces significant challenges, including the dynamic nature of digital environments, the vast volume of data, and the potential for evidence tampering or destruction. Additionally, issues related to the legal admissibility of digital evidence, data privacy, and jurisdictional limitations complicate investigations and subsequent legal proceedings. As digital evidence becomes more prevalent in courtrooms, it is essential to establish robust protocols for the collection, preservation, and analysis of such evidence to ensure its integrity and reliability. This paper discusses the implications of these challenges for legal proceedings in the digital age, emphasizing the need for ongoing training, interdisciplinary collaboration, and the development of standardized practices in digital forensics. By addressing these issues, stakeholders can enhance the effectiveness of cybercrime investigations and uphold justice in an increasingly digital society.