Search - Overview
The CV Search Engine, powered by Apache SOLR, is designed to search for information in data within your organization. It organizes retrieval of structured and unstructured data. It also provides an intuitive interface for entering, categorizing and retrieving data securely, in compliance with security and data retention regulation.
The CV Search Engine provides the following key features:
- Ability to index data and allow search and eDiscovery across repositories that contain electronically stored information (ESI) (including email and text) across operational systems, archives and media; stored in centralized corporate servers, file shares and desktops. Data needs to be backed up using the appropriate agents and then indexed using Offline Content Indexing.
- Provides a highly distributed indexing and searching configuration that enables you to index simultaneously on multiple servers and search across these search servers. Indexing large volumes of data and searching instantly across them is easy to manage. As your data grows, you can add more servers to meet your needs without having to move your data manually.
- Enables end users to find the single document most relevant to their specific goal. The engine provides ready to use faceted search results. Facets can be organized by date, content type (HTML, PDF, Word etc), data source, modification time, email fields etc... With the ability to search and view e-mail messages and attachments right within your browser, it helps end users save valuable time. Preview of documents can be viewed in the browser without installing the native applications in the desktop and in mobile/tablet devices.
- Ability to search both the metadata and the content. Adding the Search Engine would allow for searches based on content and metadata, such as file name, location, size and modified time, and information in the To, From, CC, BCC, subject, size, and received time fields for emails.
- Ability to identify and discover the right information applicable to your eDiscovery requests. As part of the identification process, complex search queries, custodian facets, range queries can be used to cull out the irrelevant documents. Identified documents can be added to a review set for further review and hold using Legal Hold.