The increasing of artificial intelligence mechanisms and their developing systems in digital investigations and court trials have continue important concern about the originality, reliability, and admissibility of modern evidence. This study aims to explore the practical impact of Artificial Intelligence (AI) on modern evidence and examines the legal challenges regarding to its originality, reliability, and admissibility in court processing. The rapid amalgamation of AI technologies into digital platforms has evaluated the creation, analysis, originality, and shown of evidence, involving both important scopes and complex legal challenges. It employs a doctrinal legal research method for systematic evaluates existing evidentiary regulation, judicial procedures, and legal frameworks regarding AI generated and AI assisted modern evidence. It relies on academic journals, regulations, case law, international guidelines, books, and policy reports. In this qualitative research the authors try to understand the various factors of practical impact of AI. This study finds that emerging technologies like generative AI, synthetic media, and algorithmic opinions procedures challenge historical idea of evidentiary originality and trustworthiness, making threat to manipulation, fabrication, and ambiguity. Lack of efficacy of legal frameworks, existing regulations often struggle to address effective improvements. It suggests the reforms of existing laws, develops evidentiary methods, update forensic verification systems, transparent AI governance mechanisms, and definite judicial instructions to confirm fairness and trustworthiness in AI driven legal systems.