MICROSOFT ADVANCED EDISCOVERY OFFERS ATTORNEYS AND IT PROS BETTER ALGORITHMS TO PORE THROUGH TROVES OF DATA THAT USUALLY COME BACK IN AN ELECTRONIC SEARCH
According to RAND Institute for Civil Justice, 75% of the cost of eDiscovery comes from the review of documents. Once it was expected that humans needed to be involved in each stage of review. But intelligent tools have eased the burden, and are becoming more generally acceptable, per Norton Rose Fulbright’s analysis of the legitimacy of Technology Assisted Review tools.
Microsoft Advanced eDiscovery offers attorneys and IT pros better algorithms to pore through troves of data that usually come back in an electronic search. For instance, an attorney might get 10,000 hits on a certain query, and manually try to pare that down with better keywords. With Advanced eDiscovery, they can select a type of message that is similar to what they’re looking for, and then rerun the query and return a more accurate set of documents/messages to manually review. This iterative process is more accurate and cost effective than keyword searches and manual review of vast quantities of documents.
This capability comes from Microsoft’s acquisition of Equivio, which applies machine learning to enable users to explore large, unstructured sets of data and quickly find what is relevant. It uses advanced text analytics to perform multi-dimensional analyses of data collections, intelligently sorting documents into themes, grouping near-duplicates, isolating unique data, and helping users quickly identify the documents they need. As part of this process, users train the system to identify documents relevant to a particular subject, such as a legal case or investigation.
See below for an example email being analyzed. If the reviewer selects R (relevant), the system is programmed to look for similar messages. If the reviewer selects NR (not relevant), the system course corrects itself and eliminates similar messages.
Figure 1: Administrators/Attorneys can mark emails as relevant or not relevant
This speeds up the culling process and eliminates some of that 73% of review time.
Furthermore, Microsoft Advanced eDiscovery allows attorneys to analyze what happens if they review even more documents. Using machine learning, it then calculates the ROI of reviewing more messages. In other words, when is it no longer worth your while to review the quote “irrelevant” messages? Here’s a search that has been culled a bit by the attorney, and Advanced eDiscovery believes that if they review 20% of the data, then that’ll cover 84% of the likely content that has relevance. If interested, the cost per message can be input, and a calculation run on the total cost of that subpoena. Scary, right? So you can see why reviewing a subset of very relevant data is so much more efficient than reviewing a whole bunch of unstructured emails and documents.
Figure 2: Reviewers can see if there's value to continuing to review emails
An organization can also use this information to possibly shift the cost of the discovery to the opposing party, especially if the requested discovery is unduly burdensome or expensive. Click here to read more...
To be clear, organizations need not purchase E5 just to enact legal holds and discoveries on emails, SharePoint files, Skype IMs, and the like. E3 (and even E1) enables archiving, Auditing and eDiscovery, mailbox and internal site search and legal hold capabilities.
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