Aug 09, 2010

ZL Technologies Releases a Research paper in the 2010 TREC Legal Track Detailing Benefits of Advanced Search and Scalable Archiving Technologies for eDiscovery

SAN JOSE, CA – Aug. 9, 2010 ZL Technologies, Inc., the leader in archiving and eDiscovery software for large organizations, has published a scientific paper in the Proceedings of the 18th NIST/Text Retrieval Conference (TREC), which details a significant gap in efficiency between traditional custodian-search and enterprise-wide search in eDiscovery settings. The results demonstrate that organizations relying solely upon custodian-search are basing important legal decisions on incomplete information, which can lead to potential cost overruns and court sanctions. ZL conducted this research to find documents relevant to pre-identified TREC topics using two separate evaluation teams working with the TREC Enron corpus of documents — a volume of approximately 3,000,000 emails from more than 100 Enron employee mailboxes. The team using the custodian approach failed to identify the vast majority of the responsive documents, and only identified a few relevant custodians. In contrast, the enterprise-wide search team identified far more relevant documents. The scope of enterprise-wide search enhances the ability of legal teams to find critical evidence that may influence legal strategy, particularly when counsel is determining whether to fight or settle a matter. “ZL Technologies’ work with TREC brings to focus the Achilles’ heel of utilizing a custodian-based search for data collection and review,” says William Hamilton, partner at Quarles & Brady LLP and adjunct professor at the University of Florida College of Law. “Although this methodology may reduce initial up-front costs, the price of these blind limitations is significant and often unacceptable. ZL’s findings demonstrate that a broader investigative approach, relying on advanced search techniques applied across a larger relevant dataset, is a better approach for reducing costs while making sound legal decisions.” Many current technologies were not designed to execute enterprise-wide searches – resulting in slow search speed or incomplete results. In contrast, the platform used in the ZL TREC study, ZL Unified Archive®, is a purpose-built archiving and eDiscovery solution designed to perform instantaneous searches across billions of records. This approach to archiving and search reflects the expanding demand for electronic records management across a range of data types, and the court’s increasing demands for faster and more accurate eDiscovery. “Searching custodian-by-custodian is an inherently flawed approach because it requires up-front assumptions as to which custodians are relevant to a particular matter,” said Adam Sand, General Counsel of ZL Technologies. “The better approach is to conduct an enterprise-wide search across the entire volume of data to identify relevancy, regardless of custodian. This approach casts a wider net that allows the identification of relevancy more quickly and less expensively than the custodian methodology.” The complete paper is available at
About ZL Technologies, Inc. ZL Technologies makes Unified Archive® software (“ZL UA®”) to enable large enterprises to manage all unstructured content such as e-mail and files, to satisfy corporate archiving needs for eDiscovery, records management, regulatory compliance, corporate governance, and storage management. It also enables the same unstructured content to become the organization’s Corporate eMemory™ for competitive advantage, such as sharing knowledge, experts, and history across the enterprise. ZL UA’s unique differentiator is its unified architecture, which consolidates all applications and billions of documents under one platform, thus eliminating today’s fractured data silos which significantly raise operating costs and legal risks. Demonstrating a proven track record with Global 500 customers and strategic partnerships with major players such as Oracle, PriceWaterhouseCoopers, and SunGard, ZL has emerged as the technology leader in harnessing unstructured “Big Data” for strategic advantage. For more information, please visit