What is a key benefit of clustering in Relativity Analytics?

The key benefit of clustering in Relativity Analytics is that it improves document review accuracy. Clustering groups similar documents together based on their content and metadata. This allows reviewers to see patterns and relationships within the data that they might not have noticed if they were reviewing documents in isolation. When documents that are similar are grouped together, reviewers can make more informed decisions about relevance and responsiveness, significantly increasing the accuracy of the review process.

The clustering feature helps in understanding the context of the documents being reviewed and can draw attention to important themes and issues present in the data set. This ensures that the review is thorough and that important information is not overlooked, ultimately leading to a more accurate assessment of the documents in the given dataset.