Today at LegalTech, Catalyst Repository Systems, Inc., the leader in secure, cloud-based discovery software that powers global discovery for corporate counsel and law firms, announced a new predictable pricing model for its big data e-discovery platform, Catalyst Insight, and for Insight Predict, its advanced, integrated technology-assisted review (TAR) technology.
“Our corporate clients have expressed increasing concerns about the difficulty of projecting and controlling e-discovery costs over the long term,” said John Tredennick, Catalyst’s founder and CEO. “We’ve been listening. Our new pricing structure addresses these concerns directly by providing optimal transparency, enhanced predictability and a variety of options to match the requirements of any organization.”
The new pricing model is specifically formulated to address corporations’ concerns around predictability, risk mitigation and hidden costs. Developed with input from the Catalyst’s client advisory board—a blue-chip board of industry experts from companies including 3M; Apple; Bass, Berry & Sims; and TD Bank—the new pricing model includes standard Per Matter Pricing as well as three enterprise pricing options designed to provide fixed or reduced fees to meet different purchasing objectives and accommodate evolving needs over time:
Specifically built for big data discovery, Insight is the first e-discovery platform in the industry built with XML technology, enabling it to combine metadata, tags and text in a unified, searchable data store. Catalyst’s technology assisted review technology Insight Predict is integrated into Insight. Predict employs contextual diversity sampling and other statistical techniques to allow users to add data on a rolling basis without disrupting the predictive coding process.
For more information about Catalyst Insight, find Catalyst at LegalTech Booth #1511.
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