Why is deduplication significant during processing in Relativity?

Deduplication is a crucial step during the processing phase in Relativity because it specifically focuses on identifying and removing duplicate documents within a data set. This process is significant for several reasons.

First, having duplicates can inflate the volume of data, making it more challenging and time-consuming to analyze. By removing duplicates, the processing becomes more efficient, as it reduces repeated efforts in reviewing the same content over and over again.

Second, deduplication helps streamline the search and retrieval of documents for legal review. Review teams can focus on unique documents, thus ensuring better workflow and organization during the e-discovery process.

Moreover, removing duplicates can also lead to cost savings in terms of storage and processing resources. In legal scenarios, where every document may require review, the elimination of duplicates represents a significant operational efficiency.

Overall, the significance of deduplication in Relativity processing lies in its ability to enhance data management by ensuring that only unique documents are retained for review, thus improving the overall efficiency and effectiveness of the e-discovery process.