Sembly AI vs Relativity
Side-by-side comparison to help you choose.
| Feature | Sembly AI | Relativity |
|---|---|---|
| Type | Product | Product |
| UnfragileRank | 34/100 | 35/100 |
| Adoption | 0 | 0 |
| Quality | 1 | 1 |
| Ecosystem | 0 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Paid |
| Capabilities | 10 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Automatically converts spoken words from live meetings into text during the call across multiple platforms. Captures dialogue in real-time without requiring plugins or manual recording setup.
Automatically detects and labels different speakers in a meeting transcript, attributing each spoken segment to the correct participant. Works across all supported video platforms.
Automatically creates a concise summary of meeting content including key discussion points, decisions made, and outcomes. Extracts essential information without manual review.
Automatically identifies and extracts tasks, decisions, and action items from meeting transcripts. Saves 10-15 minutes per meeting compared to manual note-taking.
Automatically captures and highlights decisions made during meetings, extracting consensus points and conclusions. Makes it easy to reference what was decided without searching through transcripts.
Stores and organizes meeting recordings, transcripts, and summaries in a centralized location. Provides searchable access to past meeting content.
Connects to and records meetings across Zoom, Google Meet, and Microsoft Teams without requiring plugins or manual setup. Automatically detects and captures meetings on supported platforms.
Enables full-text search across meeting transcripts to find specific discussions, topics, or statements. Allows users to quickly locate relevant information without reading entire transcripts.
+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 Sembly AI at 34/100. Sembly AI leads on quality, while Relativity is stronger on ecosystem. However, Sembly AI offers a free tier which may be better for getting started.
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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