Remove 2009 Remove Machine learning Remove Time-tracking
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Top 5 eDiscovery Data Transformation Techniques

Lineal Services

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.

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A Look at Client-Side AI-Powered Legal Spend Analytics Tools

Ron Friedmann

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, machine learning to analyze large volumes of data, and mixing and matching benchmarking data. Arun sees the same drivers at work.

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Back-to-Back: Lineal Wins the Relativity Innovation Award for Best Innovation Solution Provider

Lineal Services

Next-generation AI machine learning 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.