Relativity Analytics

Relativity Analytics and Assisted Review amplifies the user’s e-discovery efforts with visual data analytics and machine learning technology when the users are facing growing volumes of unstructured data and tight deadlines.

Users can bring Relativity Analytics and Assisted Review into the user’s workflow at any time, for any project, to follow an investigative pattern of thought and get to a focused list for review. Relativity Analytics and Assisted Review is fully integrated to minimize timely and risky data transfers between platforms and to make it seamless to use from early case assessment through production.

Relativity Assisted Review workflows give the users options and allow users to take the best approach for the user’s project. Relativity Analytics and Assisted Review lets the users pick what data the users want to see and where and how the users want to see it so the users can get to the facts faster. Relativity Analytics and Assisted Review lets the users examine the custodians, terms, and concepts important to the user’s case to eliminate non-relevant data and save costs downstream. Relativity Analytics and Assisted Review lets the users visualize patterns in the user’s data, explore the user’s data in layers, and uncover trends to take action right away.

Relativity Analytics and Assisted Review lets the users arrange documents by conversation, concept, and language and also uncover similarities to control what is brought into focus and get down to a targeted list for review. Users can also use analytics and technology-assisted review to identify inconsistent coding decisions, and have confidence in the user’s production. Users can also overlay metadata and coding information on top of clusters to uncover patterns in the user’s data or gaps in the user’s analysis.