Introducing Clustering by Everlaw

Until now, discovery in ediscovery has meant search. Often with no obvious place to start, legal teams search for critical information in evergrowing document troves. The most daunting part can be just knowing where to begin, leaving reviewers to rely on instinct, craft complex searches, and sometimes even use machine learning tools to find pattern trails to follow.

What if ediscovery technology empowered you to know where to look for important information? With that in mind, we’re excited to introduce Clustering by Everlaw, available now in Beta. 

Clustering by Everlaw

Clustering utilizes machine learning to quickly identify conceptually similar documents and presents an intuitive graphical display. This helps you to glean valuable insights into your dataset without manually building a search. Documents can be effortlessly filtered and sorted, empowering you to explore the dataset to discover new search terms, to find interesting documents, and make important decisions early on when it comes to prioritizing and organizing documents for review. Clustering also aids in post-review QC and tracks down concepts in key documents. With the ability to scale to millions of documents, clustering enables targeted review, saving legal teams time and cost.

We continuously commit to bringing innovation and improvements to the Everlaw platform with our four-week feature release cadence. We are proud to offer Clustering in Beta to a limited number of databases that will have access to Clustering’s intuitive graphical display.  Once the feature is enabled on the database, users, without any training, prior case knowledge, or use of external resources like dictionaries or ontologies, can group documents based on conceptual similarity.

Our focus on respect for users has our teams collecting feedback on all areas of the platform; this leads to elegant solutions and thoughtful design. No different to that commitment, the beta release of Clustering gives our product and engineering teams time to gather feedback from users that will help us make iterations to the feature as we prepare for general release in the coming months.

To find out more, request a demo today! We look forward to continuing to raise the bar for what legal professionals should expect from their discovery technology.