Getting started with Relativity Analytics
If you are using Relativity analytics to get an overview of the contents of a data set, keep in mind that these are the basic steps which should be performed at the start:
Repeated content identification should be run to find disclaimers and confidentiality footers which occur frequently in the full set.
The repeated content filters should be linked to an analytics index.
Assemble a set of conceptually rich documents, which exclude computer generated files, to use for the index in a saved search.
Set the index to optimize the training set in order to automatically remove conceptually irrelevant documents.
Set the index to automatically remove email signatures and footers.
Populate and build the index.
Perform clustering and categorization to find the kind of documents present in the full document set.