THE RISE OF AI IN EDISCOVERY: HOW MACHINE LEARNING IS REVOLUTIONIZING LEGAL DATA PROCESSING
Keywords:
EDiscovery, Artificial Intelligence (AI), Legal Technology, Predictive Coding, Data AnalysisAbstract
This article explores the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on eDiscovery in the legal industry. It examines the challenges posed by the exponential growth of digital data and how AI technologies are addressing these issues. The article discusses key AI applications in document review, including predictive coding, natural language processing, and unsupervised learning for pattern recognition. It presents a case study of the landmark Da Silva Moore v. Publicis Groupe case, which set a precedent for AI use in legal proceedings. The article also delves into the ethical considerations surrounding AI in legal data processing and provides insights into future developments in the field, such as more sophisticated language models, blockchain integration, and industry-specific AI models. Throughout, the article emphasizes how AI is not only enhancing efficiency and accuracy in eDiscovery but also fundamentally changing how legal professionals approach data analysis and case preparation in the digital age.
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