Structured Analytics, Conceptual Analytics, and Sentiment Analysis are Relativity tools that enable you to categorize your documents and automate the review process while minimizing the time your review team would otherwise spend coding irrelevant documents in your document set.

Structured Analytics

Structured analytics

Running structured analytics

Analytics profiles

Email threading

Name normalization

Textual near duplicate identification

Language identification

Supported email header formats

Repeated content filters

Using regular expressions with structured analytics

Conceptual Analytics

Conceptual analytics

Analytics indexes

Analytics categorization sets

Repeated content filters

Sampling for repeated content


Cluster visualization

Concept searching

Keyword expansion

Find similar documents

Solving review case challenges with Analytics

Sentiment Analysis

Sentiment analysis

Sentiment analysis results

Sentiment analysis security permissions

Knowledge base articles

Analytics - creating an optimized index

Sentiment Analysis Workflows and Fields Overview

Estimating diskspace utilization for databases and indexes

Use case for Analytics - clustering and categorization

Using categorization to identify hot documents

Analytics - Support for CJK and other non-English Languages

On-demand training

Analytics Index Building: Beyond the Basics

Creating a Conceptual Analytics Index

Discussion of Near Duplicate Identification

Email Thread Visualization & Workflows

Email Threading Deep Dive

Getting the Most out of Cluster Visualization

Language and Repeated Content Identification

Name Normalization Basics

Using Cluster Visualization on Dashboards

Using Email Thread Visualization

White papers

Sentiment Analysis: Relativity’s Approach to Developing Responsible AI Solutions for e-Discovery and Investigation