11x vs Relativity
Side-by-side comparison to help you choose.
| Feature | 11x | Relativity |
|---|---|---|
| Type | Product | Product |
| UnfragileRank | 34/100 | 35/100 |
| Adoption | 0 | 0 |
| Quality | 1 | 1 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Paid | Paid |
| Capabilities | 12 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Generates and schedules personalized multi-step email sequences to leads automatically. The system creates contextually relevant email copy based on prospect data and sends them on a defined cadence without manual intervention.
Automates LinkedIn connection requests and personalized messages to prospects at scale. The system handles profile targeting, message personalization, and follow-up cadencing across LinkedIn without manual interaction.
Monitors and logs all prospect responses, engagement signals, and interactions across email and LinkedIn. Tracks who opened emails, clicked links, replied, and engaged with content.
Provides pre-built email and LinkedIn message templates that users can customize with company-specific messaging, tone, and personalization variables. Allows creation and storage of reusable outreach templates.
Coordinates and synchronizes outreach across email and LinkedIn channels simultaneously, ensuring consistent messaging and avoiding duplicate contact attempts. Manages the timing and sequencing of touches across channels for optimal engagement.
Uses AI to generate unique, contextually relevant personalization for each prospect based on their company, role, industry, and other available data. Creates individualized messaging that feels human-written rather than templated.
Automatically sends follow-up messages to prospects who haven't responded, with intelligent timing and escalating messaging strategies. Removes the manual burden of tracking and re-engaging cold prospects.
Automatically syncs campaign activity, responses, and engagement data between 11x and connected CRM systems (Salesforce, HubSpot, etc.). Ensures CRM records stay current with outreach results without manual data entry.
+4 more capabilities
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.
Relativity scores higher at 35/100 vs 11x at 34/100.
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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.
+5 more capabilities