New Custodian-Based Pricing Model by Index Engines
For eDiscovery service providers and their law firm clients
This is a Press Release edited by StorageNewsletter.com on January 5, 2012 at 2:45 pmIndex Engines, Inc., in eDiscovery solutions, announces a new custodian-based pricing model for qualified eDiscovery Service Providers (ESP) and their law firm clients.
High-speed indexing, de-duplication, de-NISTing and initial culling of online electronic data via Index Engines’ Octane platform will be provided at no charge. Access to ESI content will remain secure and locked, but can queried by keyword or custodian identifier in order to generate a responsive set of custodians. Then, the relevant user data can be unlocked and made available for collection and preservation, saving both cost and time. The partner or client then purchases custodian ‘unlock’ keys only for the relevant custodian data they need.
Processing of Electronically Stored Information (ESI) for identification and collection has historically been priced per/GB. However, this pricing method has not always been advantageous for businesses because the client paid not only for the relevant subset of data, but also for the overall bulk of data. Per-custodian pricing controls costs of collection and leverages Octane’s efficiency and power.
Using a single platform to index, search and extract ESI from all sources is critical to meeting deadlines and managing costs. Searching can be performed across multiple sources, then the content can be de-duplicated and culled, even large volumes of data. Octane then delivers the relevant set of results to the client.
Competitive per/GB pricing will remain available for non-custodian based collection projects, such as early data assessment.
"Identification and collection costs are often the most expensive part of litigation, so the pricing model is an important factor in considering technology providers," says Jim McGann, VP of Information Discovery at Index Engines. "Custodian pricing for our partners means more affordable cost when culling large volumes of ESI. Our goal is to streamline access to relevant ESI and leverage technology to manage costs."
Subscribe to our free daily newsletter
