predictive coding

Tales of Proportionality and Predictive Coding

A funny thing happened in 2015: courts regularly applied proportionality analysis to the scope of discovery and discussed predictive coding like it was normal. Here is the shocking thing: both topics are “normal” and should not be considered earth-shattering. A Case of Proportionality One of the many 2015 cases in which proportionality intersected with predictive
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GPS Machine Learning

Many people secretly (or not-so-secretly) hate the term “machine learning.” That’s because it can be overly broad and opaque, as if you’re being asked not to look at the man behind the curtain. However, machine intelligence doesn’t have to be a big black box that we simply accept or reject. Even the less technically-minded among
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TAR doesn’t replace human review

Keeping up with the ediscovery space is tough, especially when it is constantly growing and evolving. Perceptions that might have been true a couple of years ago are simply not true anymore, but they still live on. Here are some of the most common misunderstandings.   1) Myth: TAR replaces human review Although technology-assisted review
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As a technology company, we’re committed to continuously delivering new and enhanced features—as we’ve done over 29 major releases since the first version of Everlaw in 2011. Our 30th update includes major improvements to predictive coding, new foreign language detection and translation capabilities, and StoryBuilder enhancements. Read on to learn more about these exciting changes! Improved
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From discovery to ediscovery

We’re all aware of the ways in which rapidly-evolving technology is fueling change in legal evidence, including what’s considered relevant and how it’s reviewed. What’s slightly less obvious—but by no means less important—are the ways in which the judiciary pushes the boundaries here, sometimes in response to technological trends, and sometimes in advance of them.
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Everlaw's Predictive Coding

Eleven weeks ago, we launched our predictive coding functionality. We know we’re not the first—or even the twentieth—vendor to offer this type of machine learning capability. Being first out of the gate isn’t generally our priority. Our focus has been on doing it better and on being responsive to user needs. Since the release, we
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