Applications of Artificial Intelligence in the Production and Use of Digital Documents and Electronic Evidence as Proof in Civil and Criminal Litigation

Abstract

Artificial intelligence (AI) has recently been recognized as an effective tool for producing and analyzing digital documents and electronic evidence in civil and criminal litigation. This article examines the various applications of AI in generating, extracting, and analyzing digital documents as proof in legal proceedings. The primary objective of this study is to identify the role of emerging technologies, such as natural language processing (NLP), computer vision, and machine learning, in accelerating and enhancing the accuracy of digital evidence analysis in judicial processes. The research methodology is based on a review of previous studies and an analysis of the practical applications of AI in judicial and legal environments. The findings indicate that AI can accurately identify, extract, and analyze digital evidence using complex algorithms, thereby facilitating transparency, verification, and assessment of evidence in courts. Additionally, the use of technologies such as blockchain to ensure the immutability of digital documents and prevent fraud in legal proceedings is another significant outcome of this study. This research emphasizes the importance of AI in improving the accuracy and efficiency of judicial systems and offers recommendations for enhancing legal and jurisprudential frameworks to accommodate and utilize these technologies.