In the realm of digital forensics, ensuring the accuracy and reliability of evidence extracted from disk images is paramount. This paper presents a formal approach to verifying forensic evidence using the Coq proof assistant. We introduce a series of definitions and proofs to model and validate disk image structures and forensic timelines, emphasizing the importance of tractability and scalability in proof verification. Our approach leverages proof by reflection to manage proof term sizes and execution times, making it feasible to handle large disk images. We also discuss potential challenges, such as false positives and the need for automated proof generation, and propose future work to enhance the flexibility and applicability of our methods. This research aims to provide a robust framework for forensic analysts to verify evidence rigorously and reproducibly, contributing to the advancement of digital forensic methodologies.