OpenText EnCase eDiscovery vs Smarsh eDiscovery comparison

eDiscovery collection tools address the rise in dispersed and remote workforces, the proliferation of mobile devices and new sources of data. Comprehensively collecting data across all data sources, including endpoints, such as desktops and laptops, is critical to defensibility. Collection analytics and culling is key to efficient digital investigations, narrowing the document collection to drive down the cost of legal review.

With OpenText™ EnCase™ eDiscovery, organizations can streamline the collection, culling and preservation of data across diverse sources in a single efficient process.

eDiscovery is a comprehensive, end-to-end eDiscovery platform that Operates. It Combines powerful analytical tools with core strengths in understanding human information, it presents a choice of document review options to match the right workflow to each unique matter and can be combined with other offerings. Discovery delivers broad coverage across data repositories and myriad data types, and is language independent to give you the fastest, most-complete solution on the market. eDiscovery helps corporations, law firms, and government entities prepare for, and react to, legal matters involving large amounts of data - without bias to repository or location. A pioneer in legal holds, early case assessment, and Technology-Assisted Review, eDiscovery helps you solve the full breadth of discovery and investigations challenges, from data collection through production. It covers the full spectrum of requirements, including Federal Rules of Civil Procedure (FRCP), information management, preservation, processing, early case assessment (ECA), review and analysis, and production, allowing you to avoid the risk and cost of switching tools or vendors at different stages of discovery. eDiscovery is underpinned by our IDOL technology, which provides access to hundreds of data types and reaches across myriad data silos throughout the enterprise, this patented software also helps you understand human-generated (unstructured) information and administer data in place.