CAMBRIDGE, England and PLEASANTON, California, October 23 /PRNewswire-FirstCall/ -- ZANTAZ, an Autonomy company (LSE: AU. or AU.L) and the leader in the archiving, eDiscovery and Proactive Information Risk Management (IRM) markets, today announced support of an Extensible Markup Language (XML) standard developed by the Electronic Discovery Reference Model (EDRM) Program to facilitate the industry-wide transfer of electronically stored information (ESI) from one application to another. Autonomy ZANTAZ was a co-leader in this initiative and is fully committed to supporting the new standard across its entire IRM platform, including both its electronic discovery and consolidated archiving products. This comprehensive IRM platform is the first and only solution with the ability to address each step within the EDRM framework, delivering data throughout the eDiscovery lifecycle from capture to production.
A highly-regarded initiative within the legal industry, the EDRM Project was created in 2005 to address the lack of standards and guidelines in the electronic discovery market. The reference model subsequently completed by the group provides a common, flexible and extensible framework for the development, selection, evaluation and use of electronic discovery products and services. Over the past three years, the EDRM project has comprised more than 118 organizations, including 72 service and software providers, 34 law firms, three industry groups and nine corporations involved with eDiscovery.
Recognizing the value of a single, standardized data format for all electronic discovery processes, Autonomy ZANTAZ was a key driver within the EDRM Project in developing the agreed-upon common XML code, providing the initial technology foundation on which the standard could be built. This standardization provides a monumental leap forward for the industry, enabling IT departments, legal teams and service providers to reduce valuable time and resources spent converting and transferring ESI from system to system. In addition, the single data format alleviates the corporate risk of manipulated or even lost data that is sometimes a result of converting information from one format to another.
"Autonomy ZANTAZ' position as a leader in the electronic discovery marketplace made them a clear choice to help define the common proprietary format for the industry to use across all discovery applications going forward," said Georges Socha, co-founder of EDRM and president of Socha Consulting LLC. "Given the impressive volume of ESI that they continually process in both their eDiscovery and archiving offerings, Autonomy ZANTAZ was able to provide a strong level of insight and expertise that will undoubtedly ease adoption of the XML standard in the months to come."
Showing true commitment to the new standard, Autonomy ZANTAZ is the first offering in the market with the ability to fully support the EDRM XML across all of the company's IRM products and services, which include media restoration, consolidated archiving, advanced electronic data discovery, review, production, real-time policy management and analytics. The recent release of Introspect 6, Autonomy ZANTAZ' number one leading eDiscovery review tool, was specifically designed with this capability, enabling legal professionals to immediately begin processing data in accordance with the EDRM standard. Autonomy ZANTAZ extends support beyond the traditionally defined eDiscovery space by also supporting the standard within EAS, the market leading consolidated archive solution.
By supporting a single proprietary data format for the capture, processing and review of ESI, Autonomy ZANTAZ' IRM platform is the only end-to-end solution that allows organizations to proactively manage their data throughout the entire discovery process, as outlined by the EDRM model, all through one single vendor. Enterprises can now seamlessly move their data through the eDiscovery lifecycle - from identification to preservation and collection, review and analysis, production and ultimately presentation - without the need to engage additional parties who could potentially taint the "chain-of-custody" or negatively impact the consistency of accurate data production.