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Best practices in data cleaning for eDiscovery include: Automation Tools : Employing software that can automatically detect and correct errors in data to save time and reduce human error. Trend Analysis : Analyzing data trends over time to predict future occurrences or to understand past behaviors within a dataset.
These disruptors started in 2009 with GFC and now, with COVID, the change is happening even faster. Legal AI contributes by using natural language processing to convert narrative to structural data, machinelearning to analyze large volumes of data, and mixing and matching benchmarking data. Arun sees the same drivers at work.
Next-generation AI machinelearning is informed by a human expert to catch indicators of privilege with uncanny accuracy and continues to improve iteratively with subsequent use. ChatCraft allows users to keep track of important documents by associating attachments with conversations.
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