What is the primary function of Analytics searching in Relativity?

The primary function of Analytics searching in Relativity is to enable keyword expansion and similar document identification. This feature is integral to the eDiscovery process as it helps users uncover documents related to specific terms or concepts, even if they do not contain the exact keywords. By utilizing sophisticated algorithms, Analytics can identify synonyms, related terms, and contextually linked documents, which enhances the thoroughness of document review.

This capability allows users to discover relevant information that might otherwise be overlooked due to variations in language or phrasing. It creates a more comprehensive understanding of the data set being analyzed, thereby improving the efficiency and effectiveness of the discovery process. In legal contexts, this can be pivotal for establishing context, patterns, and relationships between documents, which may be crucial for case strategy.

While other options such as performing quick text searches and filtering out irrelevant document types are useful functions within Relativity, they do not encapsulate the advanced capabilities provided by Analytics searching. Custom database queries are also a separate feature focused on specific data manipulation and extraction, rather than expanding on keyword relevance.