The Ultimate Predictive Coding Handbook
The growing acceptance of predictive coding as a highly efficient, effective and defensible approach to the document review conundrum is undeniable. Predictive coding guru and evangelist Ralph Losey of Jackson Lewis writes about that in his recent blog post, “Why I love Predictive Coding: Making Document Review Fun Again with Mr. EDR and Predictive Coding 4.0.”
Today, predictive coding is widely used to identify responsive or relevant material, as well as other document review categories, such as privilege, issue codes and key classifications. While predictive coding technology is generally recognized as the most cost-effective means of reviewing document sets ranging from millions of documents to a few thousand documents, many law firms and their corporate clients still shy away from using it. Why?
Predictive Coding: Accessible to All
At KLDiscovery, we have made it part of our mission to make predictive coding accessible to all. Some litigants and counsel perceive (incorrectly) that predictive coding is too expensive and are blinded to the potential savings in document review costs compared to the cost of using or training the predictive coding engine. Other legal teams misleadingly believe that a certain number of documents are needed to best apply predictive coding technology, not realizing that predictive coding technology has been successfully leveraged in cases with only a few hundred or thousand documents. Lastly, there is the notion that predictive coding cannot be used without understanding algorithms, learning strategies and everything else that happens inside the “black box.” Let us help you decode the predictive coding black box.
One Handbook to Ignite Your Inner Geek
KLDiscovery’s newest guide, The Ultimate Predictive Coding Handbook, is a user-friendly reference to applying predictive coding in ediscovery. If you were ever confounded about terminology or too timid to ask someone to explain a predictive coding method, fear not. This new guide covers all of this and more:
- What is training and how does it work?
- Why is Continuous Active Learning (CAL) so popular?
- When is sampling used?
- How to interpret metrics?
Get your predictive coding questions answered. Download this new handbook today!