Extract from Cellebrite Enterprise Solutions’ article “The Transformative Impact of AI on eDiscovery: Trends and Insights”
Artificial Intelligence (AI) is not just a buzzword; it is rapidly reshaping the eDiscovery landscape. As legal professionals face the daunting task of managing increasing volumes of electronically stored information (ESI), AI technologies are becoming indispensable. This blog delves deeper into the transformative impact of AI on eDiscovery, highlighting key trends and offering insights into how organizations can leverage these innovations to enhance efficiency, accuracy and cost-effectiveness.
1. Automation of Document Review
Document review has traditionally been one of the most labor-intensive and costly phases of eDiscovery. Legal teams often find themselves sifting through thousands, if not millions, of documents, a process that can be both time-consuming and prone to human error. AI-powered tools are revolutionizing this aspect by automating the classification and prioritization of documents.
Machine Learning Algorithms: By employing machine learning algorithms, AI can learn from previously reviewed documents and apply this knowledge to new data. Predictive coding enhances this process, allowing legal teams to focus on the most relevant documents while minimizing the risk of overlooking critical information. This shift not only accelerates the review process but also improves accuracy, enabling lawyers to make informed decisions faster.
