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In Epiq AI, a collection is a structured container within a project that holds documents and related data. Collections serve as the foundation for document review, model training, tagging, and search workflows. Each project can contain one or more collections, allowing teams to organize content by matter, phase, or purpose. Collections are designed to support scalable and flexible workflows, enabling users to manage uploads, apply protocols, run models, and annotate documents efficiently.

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Key capabilities

Collections support the following core functions:
  • Data Uploads. Add and manage documents for review and analysis.
  • Protocols. Apply search and review protocols to guide tagging and filtering.
  • Models. Train and run predictive models on collection content.
  • Tagging. Use tagging panels to annotate documents with structured metadata.
  • Datasets. Create focused subsets of documents for targeted review or model training.
  • Exports. Generate and download annotations, predictions, and documents for downstream use.
Collections are central to how Epiq AI enables intelligent document review and data-driven decision-making.