Equivio
The goal of any review is to rapidly identify documents needed to win the case in a cost-effective, consistent manner, while focusing on quality and accuracy. But when studies show that nearly 60 percent of the data in a typical electronic discovery matter is redundant because of near and exact duplicate files, plus email threads, how can teams expect to achieve these goals?
Relativity® powered by Fios now offers near-duplicate and email thread detection to help suppress redundant data so review teams can focus on the most relevant, unique information.
NearDuplicates
Relativity powered by Fios utilizes Equivio>NearDuplicates to detect and group near-duplicate files. Traditional de-duplication processes focus on exact duplicates and do not highlight near-duplicates that may vary by as little as a few characters, such as two versions of the same electronic spreadsheet.
Equivio>NearDuplicates identifies these documents and organizes them into sets for efficient and coherent handling. Reviewers can then focus on the document with the most content, the pivot document, and bulk-tag the entire set or compare it to other documents within the set.
EmailThreads
Equivio>EmailThreads captures and reconstructs email conversations. By identifying the unique email in a collection, known as "inclusive email," review teams can drastically reduce the number of messages that require review.
Relativity Powered by Fios
Bring it all together in Relativity powered by Fios. With Relativity's robust batch management tools, you can assign sets of near-duplicates or sets of email threads to specific reviewers. With Relativity powered by Fios, reviewers can quickly jump from pivot to pivot while simultaneously bulk-tagging items in the set.
| Features |
Benefits |
| Identify and organize near-duplicates or email threads into cohesive sets of documents. |
Accurately and defensibly suppress near-duplicate documents within your legal matter
Increase accuracy and consistency when tagging documents |
| Review differences between unique and similar documents using Relativity's Document Compare |
Gain greater control of second-pass reviews and reduce risk as differences between documents are highlighted |
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