Relativity

Automatically categorizes and codes documents based on learned patterns from human-reviewed samples, using machine learning to predict relevance, privilege, and responsiveness. Reduces manual review burden by identifying documents that match specified criteria without human intervention.

Ingests and processes massive volumes of documents in native formats while preserving metadata integrity and creating searchable indices. Handles format conversion, deduplication, and metadata extraction without data loss.

Provides tools for organizing and retrieving documents during depositions and trial, including document linking, timeline creation, and quick-search capabilities. Enables attorneys to rapidly locate supporting documents during proceedings.

Manages documents subject to regulatory requirements and compliance obligations, including retention policies, audit trails, and regulatory reporting. Tracks document lifecycle and ensures compliance with legal holds and preservation requirements.

Manages multi-reviewer document review workflows with task assignment, progress tracking, and quality control mechanisms. Supports parallel review by multiple team members with conflict resolution and consistency checking.

Enables rapid searching across massive document collections using full-text indexing, Boolean operators, and field-specific queries. Supports complex search syntax for precise document retrieval and filtering.

Identifies and flags privileged communications (attorney-client, work product) and confidential information through pattern recognition and metadata analysis. Maintains comprehensive audit trails of all access to sensitive materials.

Implements role-based access controls with fine-grained permissions at document, workspace, and field levels. Allows administrators to restrict access based on user roles, case assignments, and security clearances.

Organizes litigation data into dedicated workspaces with customizable layouts, views, and workflows. Allows teams to structure case information hierarchically and create matter-specific configurations.

Enables review of documents in native formats with built-in annotation tools, highlighting, and commenting capabilities. Preserves document formatting and allows reviewers to mark up documents without creating copies.

Analyzes document collections to extract patterns, relationships, and insights relevant to case strategy. Generates visualizations and reports on communication networks, key players, and document distributions.

Connects with major legal software platforms, case management systems, and document repositories through APIs and native connectors. Enables seamless data flow between Relativity and other enterprise legal systems.

Exports large document collections in standardized formats required for discovery production (TIFF, PDF, native formats with load files). Handles batch processing of thousands of documents with consistent formatting and metadata.