Knovos’ E-Discovery Software Solution
eZReview™, Knovos’ suite of in-house E-Discovery Software Services reflects a maturity of proven technology based on more than a decade of user insight and real case experiences. eZReview is a complete, full-spectrum platform that covers the entire litigation lifecycle, eliminating the need for any third-party plug-in solutions. The eZReview comprises 4 independent but seamlessly integrated modules: the data capture module, the analytics module, the knowledge management/ECA module, and the workflow/review module.
The Knovos customer service model and integrated modules allow clients to manage the entire litigation risk management cycle with a single solution
DATA COLLECTION/PROCESSING
Capable of extracting data from archived media and legacy systems
Experts in dealing with content in its native format on any type of storage media
EARLY CASE ASSESSMENT
Standard search methodologies augmented by sophisticated analytics and intelligent culling
Organizational techniques such as clustering, email threading, and near de-duplication
REVIEW HOSTING
Six optional international hosting facilities and a 1.4 petabyte infrastructure
Capable of hosting case data in terabytes and millions of documents
No additional cost for updating all cases to the latest software versions
Innovative review platform packed with essential features for effective and efficient management of the review proces
CONTENT ANALYTICS
Intuitive dashboards provide a holistic view of collected data, allowing clients to make informed decisions before processing data for document review and analysis
Early access to a variety of search results, allowing users to easily project processing costs and review timelines
TECHNOLOGY-ASSISTED REVIEW (TAR)
Integrated analytical and quality control measures to allow for efficiency and accuracy throughout the workflow-driven process
Content-based identification and comparison of near-duplicate documents, based on similarity percentage established by the user
Automated Document Profiling (ADP) leverages sampling techniques and advanced algorithms to optimize the review of millions of documents.