What does the Review Center utilize to classify documents based on their relevance to the case?

The Review Center employs AI classifiers to assess and categorize documents regarding their relevance to a particular case. AI classifiers are designed to analyze vast amounts of data efficiently and use machine learning algorithms to identify patterns and determine which documents are most relevant based on previously established criteria or training data. This approach enhances the efficiency and accuracy of document review processes, especially in large-scale legal cases where the sheer volume of documents can be overwhelming for human reviewers alone.

Utilizing AI allows for quicker sorting and prioritization of documents, enabling legal teams to focus their efforts on the most pertinent materials. This method can reduce the time and costs associated with manual reviews while maintaining a high level of accuracy in relevance classification.