October 11th, 2016
In this post, we focus on a complexity of estimating richness, precision, and recall when searching for sensitive information: sample “depth.” Sample “depth” is the level at which we intend to measure and remediate. Learn about sensitive data in your sampling.
June 16th, 2016
What’s next for e-Discovery in the United States and beyond? Earlier this week at Legaltech West Coast, we assembled three panels of experts—including some of the country’s most well-respected federal magistrate judges—to explore answers to that question. The discussions were lively, thought-provoking, and sometimes funny (even we can’t take e-Discovery too seriously).
June 10th, 2016
Read our discussion and education for eDiscovery practitioners focused on the context of statistical testing and measurement of techniques used to find documents containing relevant information for discovery—a context in which these statistics are fairly well-settled and easily understood.
June 6th, 2016
Today’s corporate information systems are awash with highly sensitive data. Whether it’s personally identifiable information (“PII”), personal health information (“PHI”), financial and payment information, intellectual property and trade secrets, source code—the list goes on—sensitive information exists in virtually every collection of data. Learn to protect this sensitive data from discovery.
December 30th, 2015
Happy New Year! As we turn the calendar to 2016 and reflect on what the year ahead might bring, I asked some of my DiscoverReady colleagues to share some of their resolutions for the new year. Here’s what they resolve to accomplish in 2016. . .