When it comes to eDiscovery, technology-assisted review (TAR) and predictive coding algorithms have revolutionized the way that legal teams handle document-intensive cases. These tools help legal teams quickly and efficiently sort through vast amounts of data, reducing the time and costs associated with manual document review. However, not all TAR and predictive coding algorithms are created equal. Lexbe’s Bayesian Predictive Coding Algorithm is a superior solution that provides legal teams with a powerful tool to optimize their eDiscovery workflows and achieve successful outcomes in litigation.
Assisted Review+ is Lexbe’s Predictive Coding application, available within Lexbe eDiscovery Platform that supports fast, accurate, and defensible review of large ESI collections for production. For document intensive cases, Lexbe’s predictive coding can help expedite the initial document review by automatically determining responsiveness. The algorithm analyzes the document reviewer’s assessment of what is responsive and non-responsive and can then determine the responsiveness of the remaining document set.
One of the key advantages of Lexbe’s Bayesian Predictive Coding Algorithm is its accuracy. The algorithm is based on advanced statistical models and deep learning that enable it to accurately predict which documents are most relevant to a particular case. This can significantly reduce the time and costs associated with manual document review, while also improving the accuracy of the review process.
Lexbe’s Assisted Review+ in combination with the complete analytics suite in the Lexbe eDiscovery Platform (LEP) also provides advanced reporting and analytics tools that provide legal teams with valuable insights into the strengths and weaknesses of their case. This can help them make informed decisions about how to proceed with litigation, and identify areas where further investigation may be needed.
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Benefits of Lexbe's Assisted Review+
Lexbe’s predictive coding enables massive collections of ESI to be reviewed quickly, accurately, and without the need to bear the significant cost of a manual, linear review. Moreover, the underlying logic and sub-processes of Assisted Review+ are entirely disclosed to deliver a transparent and defensible predictive coding methodology in contrast to the “black box” approach of other predictive coding offerings.