Ediscovery Feature

Predictive Coding Visualization

Suggesting how to improve a case’s predictive coding model can be difficult. This isn’t because of any characteristics of machine learning. Rather, providing predictive coding best practices can be tough because of the nature of litigation. For example: Specific targets for precision, recall, or F1 scores may be set during negotiations with opposing counsel, thereby
Read More

Canonical Metadata

Ediscovery – and therefore, litigation – relies on metadata.[1] Without it, predictive coding is less effective, searching is less robust, and review is less complete. The more accurate the metadata, the easier and faster the review process is. The challenge is that metadata is often inconsistent. Productions from different parties often use different names for
Read More

Saving Time in Ediscovery

Last year, we described four tips that could save you time and money during ediscovery. A recent BDO study of inside counsel shows that the importance of efficiency has not changed: almost half of those surveyed expected that the escalating cost of ediscovery would have a significant impact on their companies. To address that challenge,
Read More

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
Read More

Apply Labels in Everlaw's StoryBuilder Chronology

So, you’ve found the key documents in your case. Now what? To make them actionable, you need to weave these documents together into a clear and compelling narrative. And that begins with a chronology. Unfortunately, for most legal teams, the task of putting together a compelling chronology is remarkably difficult. Today, either multiple Excel spreadsheets
Read More