Smart Targeting vs Relativity
Side-by-side comparison to help you choose.
| Feature | Smart Targeting | Relativity |
|---|---|---|
| Type | Product | Product |
| UnfragileRank | 33/100 | 35/100 |
| Adoption | 0 | 0 |
| Quality | 0 | 1 |
| Ecosystem | 0 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Paid | Paid |
| Capabilities | 10 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Analyzes historical data and behavioral signals to assign probability scores to prospects, ranking them by likelihood to buy or sell. Surfaces high-intent leads automatically rather than requiring manual qualification.
Automatically sequences and sends personalized outreach across email, SMS, and social media based on lead behavior and predefined workflows. Eliminates manual campaign setup and ensures consistent follow-up timing.
Injects neighborhood data, market trends, and property-specific intelligence into campaign messaging automatically. Makes outreach relevant to local conditions rather than generic.
Centralizes all lead information, interactions, and pipeline status in a single system. Tracks communication history, next steps, and lead lifecycle automatically.
Triggers predefined follow-up actions (emails, SMS, tasks, reminders) based on lead behavior, time elapsed, or manual triggers. Ensures no lead is forgotten without agent intervention.
Identifies signals indicating a prospect is actively buying or selling (searches, property views, market activity) and flags them for immediate outreach. Distinguishes active prospects from passive ones.
Validates contact information, fills in missing data fields, and standardizes records to ensure clean data for analytics and outreach. Improves data accuracy across the system.
Tracks campaign performance, lead conversion rates, ROI by source, and agent productivity metrics. Provides dashboards and reports to measure what's working.
+2 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 Smart Targeting at 33/100.
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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