Relativity
Discovery / Audit
Relativity Structured Analytics and Concept Analytics
Structured Analytics
Email threading
Identifies email relationships by grouping related email items together. Then, email metadata is extracted and normalized, including all forwards, replies, and reply-all messages.
Name normalization
Identifies aliases (proper names, email addresses, etc.) within email headers. Groups aliases into entities (people, distribution groups, etc.).
Textual near duplicate identification
Identifies records that are textual near-duplicates (those in which most of the text appears in other records in the group and in the same order).
Language identification
Identifies the primary and secondary languages (if any) present in each record. Provides the percentage of the message text that appears in each detected language.
Conceptual Analytics
Analytics categorization sets
Allows user to create a set of example documents that Analytics uses as the basis for identifying and grouping other conceptually similar documents.
Clustering & Cluster Visualization
Requires minimal user input to create groups of conceptually similar documents. Creates an interactive map that allows for quick overviews of cluster sets.Identifies aliases (proper names, email addresses, etc.) within email headers. Groups aliases into entities (people, distribution groups, etc.).
Concept searching
Find information without a precisely phrased query by applying a block of text against the database to find documents that have similar conceptual content.