Catalyst CR 8.0 – Powerful Analytics Tools – Reduce Document Populations – Targeting Key Documents – Efficient and Effective Review

Catalyst CR 8.0 adds a suite of analytical tools helping clients to pare down review sets, find key documents, identify confidential or privileged documents, remove spam and other irrelevant files, and analyze large document populations.
One set of enhancements is called “clustering”. This feature automatically groups similar documents together into folders. This makes it possible to identify documents that are relevant or irrelevant, as a group, and to optimize and speed up the review .

Catalyst CR's simple but powerful search interface allow you to search large volumes of documents to find what you need easily and quickly.
If the attorneys have identified “hot,” privileged, or important documents that they want to cluster around, they can use those to “seed” folders of similar documents. Catalyst calls this “Key Document Clustering.” This allows the attorneys to focus on these special documents, and the rest can be reviewed in a more cursory way or sent off-shore.
The same technology, with special “spam-catching” enhancements, can be used for “Anti-Spam Clustering,” where the “seed” documents are spam or junk emails. These can be used to create folders of junk mail that can easily be tagged as irrelevant, reducing the time and cost of the review.
If the attorneys have not identified “Key Documents” that can be used to seed the document clustering, Catalyst even has software called “Topical Clustering.” This approach creates folders of documents that relate to similar topics, essentially creating key documents to seed the folders for you out of the themes in the document collection.
All of these approaches can then be used to assign batches of related documents to review projects, where reviewers can work with them in the rules-based Assigned Review Workflow module, which also makes the review go faster and more efficiently.
Catalyst CR 8.0 also includes optional “Predictive Ranking.” This is a search-based analysis of a large sample of documents that have actually been reviewed by attorneys and found to be responsive or non-responsive. Then Catalyst will give each document that has not yet been reviewed a predictive score, ranking the documents that are most like the actually reviewed responsive documents at the top. Predictive Ranking can also be applied to potentially privileged documents.
Tags: Analytics, Catalyst, CR, Document, Documents, Effective, Efficient, Key, Powerful, Reduce, Review, Target, Tools