Case Study: Using Near-Duplicate Detection to Find Documents
Maureen Holland of D4, LLC has written a case study describing how expert consultants inexpensively applied analytics to find documents that would not have been found though traditional review and saved the client $134,955.
She explains that near-duplicate detection is an advanced analytics technology used to identify near-duplicate — or duplicate — documents based purely on textual content and then groups those documents together for review according to similarity.
In this case study, D4 used near-duplicate detection to compare key production documents gathered across similar matters against source ESI, in order to find the original, electronic versions of documents needed for review and production on a new matter.
