Which extraction method is NOT available in RelativityOne?

In RelativityOne, data extraction methods allow users to retrieve and convert relevant information from documents for use in their legal processes. Each of the choices represents a common method for handling data within the platform, but one is not available as a standalone extraction method.

Data synchronization primarily refers to the process of keeping data consistent across different database systems or applications. While RelativityOne facilitates various integrations and data management strategies, it does not offer a dedicated extraction method specifically labeled as "data synchronization" like the others listed.

File profiling involves assessing and cataloging the types and properties of files within a dataset. Text extraction is the process of converting the content of documents to a machine-readable format. Metadata extraction focuses on retrieving additional information about documents that aren't part of the main text but are still crucial, such as author, date created, and file type. Each of these methods directly supports document review and analysis within the RelativityOne environment.

Thus, understanding that data synchronization is a broader concept rather than a specific extraction method clarifies why it stands out from the other options, making it the correct choice.