Structured Analytics and Conceptual Analytics (index-based) are Relativity tools that allow you to categorize your documents and automate the review process while minimizing the time your review team would otherwise spend coding irrelevant documents in your document set.
You’re a system admin at a law firm and one of your clients, a construction company, is involved in litigation regarding the use of materials that they weren’t informed were potentially environmentally damaging when they purchased them from a major supplier.
In the past, you’ve conducted a linear review for projects of a similar nature. This case, however, is the largest you’ve seen, as it includes 7 TB of data comprised of 11.6 million documents. These documents are primarily email attachments, but they also include 20 MB of technical manuals related to construction practices and material handling.
Your goal is to organize and assess the semantic content of this large data set, saving your firm as much money as possible in the process. To do this, you’re going to leverage Relativity’s structured analytics options, build an Analytics profile, and create and build an Analytics index, which you’ll eventually use as the basis for an Assisted Review project.
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