Learn new features in Advanced eDiscovery to help reduce costs and improve analytics related to eDiscovery

Microsoft recently announced the availability of Office 365 Advanced eDiscovery, boosting the already comprehensive set of eDiscovery tools present in Office 365. Advanced eDiscovery is one of the new features of the newest Office 365 plan – E5.

man pressing key on laptop

Microsoft’s Office 365 Advanced eDiscovery uses Equivio (recently acquired by Microsoft) machine learning as well as predictive coding and text based analytics to help reduce both the costs and challenges that often come with sorting through large amounts of data for eDiscovery.

In today’s ‘big data’ environment, eDiscovery could involve sorting through large amounts of text messages, emails, documents and even instant messages to find the files that are most likely to be relevant.

Office 365 Advanced eDiscovery helps to cut down on the sheer volume of data by identifying key themes and data, ignoring duplicate files and reconstructing email threads. In addition it is able to use predictive coding, which allows users to train the system to analyze and explore large sets of unstructured data to focus in on what’s relevant.

Predictive coding explained

In most eDiscovery scenarios, there is a large amount of data that is not relevant to a certain case. Predictive coding allows you to train the system to automatically identify relevant and non-relevant documents by making certain decisions on small sets of data. The system then is able to use this learning to make future relevancy decisions across all documents.

Predictive Coding chart

Email threading

As you likely know, an email thread is simply a collection of email replies. The second email in an email thread has all of the information from the original email, meaning that there’s no reason to store the first email. Email threading helps to identify the unique email messages within an email thread to cut down on eDiscovery storage requirements.

Near-duplicate detection

When dealing with a large number of documents, some will have the same or similar content to other documents. During document review, individuals must read all of these documents, driving costs up significantly. If you have multiple people reviewing documents and each person reviews the same document, you’re wasting significant time and money looking at the same documents. With Microsoft’s near-duplicate detection, you’re able to structure a review so one personal is able to review a similar group of documents, making the process much more efficient.

Export for review applications

With Advanced eDiscovery when you’re exporting data from Office 365, it will be packaged as a CSV file containing analytics metadata and the document properties. Once exported, you can open the CSV file into eDiscovery review applications to analyze the data.

Ready to learn more about Advanced eDiscovery?

Office 365 Advanced eDiscovery is part of the new E5 plan, which you can read about in our Office 365 E5 plan post. Alternatively, users with an Office 365 E1 or E3 license can be assigned an Advanced eDiscovery standalone license.

If you’re interested in learning more about the power of Advanced eDiscovery in Office 365, don’t hesitate to contact MessageOps today.

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