Key Features and Functions include:
Document Clustering
Clustify automatically groups related documents based on textual similarity, helping teams identify thematic clusters such as topics, threads, or near-duplicates for more efficient review.
Predictive Coding and TAR Support
The software supports TAR 1.0, TAR 2.0, and newer TAR workflows, providing real-time predictive coding that reflects reviewer decisions as they occur.
Scalability and Performance
Designed to handle large datasets, Clustify can analyze very high volumes of documents without requiring enterprise-scale hardware.
Flexible Data Input and Integration
Documents may be stored in databases or as individual files, allowing integration with a range of platforms and workflows.
Cluster Labeling
Each document cluster is labeled with keywords to provide context and insight into the contents of the group, aiding navigation and review prioritization.
Custom Tagging and Categorization Tools
Users can create and apply custom hierarchical tags to individual documents or entire clusters to support bespoke categorization schemes.
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