Adaptify vs Relativity
Side-by-side comparison to help you choose.
| Feature | Adaptify | Relativity |
|---|---|---|
| Type | Product | Product |
| UnfragileRank | 26/100 | 32/100 |
| Adoption | 0 | 0 |
| Quality | 0 | 1 |
| Ecosystem | 0 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Paid | Paid |
| Capabilities | 8 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Integrates OpenAI's ChatGPT to enable natural language conversations within business workflows. Allows teams to deploy conversational AI without building custom integrations, leveraging pre-trained language models for dialogue.
Automates repetitive customer service tasks by routing inquiries, generating responses, and managing conversations through ChatGPT-powered logic. Reduces manual handling of common support requests.
Generates business content such as emails, product descriptions, marketing copy, and documentation by accepting structured prompts and leveraging ChatGPT's language capabilities. Reduces manual content creation time.
Allows users to define and configure reusable automation workflows that combine ChatGPT logic with business rules. Enables non-technical users to create custom automation without coding.
Integrates ChatGPT-powered responses across multiple communication channels such as email, chat, messaging platforms, and support systems. Provides unified customer interaction management.
Allows ChatGPT to access and reference company-specific knowledge bases, documentation, and business rules to provide contextually accurate responses. Enables domain-specific AI automation.
Tracks and analyzes ChatGPT-generated responses for quality, accuracy, and user satisfaction. Provides insights into automation performance and identifies areas for improvement.
Provides tools to craft, test, and optimize ChatGPT prompts for specific business use cases. Helps users refine AI behavior through iterative prompt improvement.
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 32/100 vs Adaptify at 26/100.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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