Predictive Coding: The Tell-All Guide
Mind-reading software – seems like something that would only appear in a Sci-Fi movie or video game, right? Think again. To better understand the brain, researcher Tan Le developed new technology that can read brainwaves like never done before. To give researchers a better idea of what goes on inside our heads, the innovative headset uses sensors that pick up electric signals from the brain to read the wearer’s thoughts, feelings, and expressions.
If (and when) this powerful brain-reading device goes mainstream, I can think of a million interesting (and perhaps scary) uses! For example, if ediscovery professionals were asked to don this technology and think about predictive coding, it would probably register mixed feelings. While predictive coding is a central topic in today’s discussion of ediscovery, many legal professionals find predictive coding as hard to understand as brain science.
Attorneys are told that predictive coding technology can find key documents faster and with fewer human reviewers, thereby saving hours, days, and potentially weeks of document review – not to mention significantly reducing litigation expenditures along the way. However, for most legal professionals, this description tends to seem too good to be true and raises countless questions about implementation, training, accuracy, and defensibility. Simply put, many practitioners are proceeding with caution due to a lack of concrete information about this technology and best practices.
Kroll Ontrack’s goal: to demystify the technology and best practices for implementing predictive coding. Until the distant future (or perhaps not-so-distant future?) when legal document review can be conducted using mind-reading, brainwave technology, Kroll Ontrack has developed a new Predictive Coding Guide to shed light on the “nuts and bolts” of getting an ediscovery project off the ground with predictive coding. With a behind-the-curtain view of the predictive coding process, this is the most comprehensive guide to understanding and leveraging predictive coding in the litigation process.