Everlaw Training Videos
Assignments and Predictive Coding
Users who will be managing a document review workflow and review teams using assignments. Users who are interested in creating and leveraging predictive coding models to locate documents and improve the efficiency of document review.
What you will learn:
How to set up assignment groups and batch out documents for review. How to create a predictive coding model and use that model to find documents and organize a document population. How to use the predictive coding and assignment tools together on Everlaw to prioritize document review by incorporating the output of a predictive coding model in an assignment workflow.
The assignment tool in Everlaw is structured around groups. It allows you to distribute documents to reviewers and monitor their progress.
Assignment groups contain documents that meet specified criteria. You can create assignment groups from the homepage or from any results table.
Everlaw’s assignment group inclusion criteria allows you to link one assignment to a second assignment. You can "daisy chain" assignments together to achieve a variety of workflows.
Predictive coding uses machine learning to predict which documents in a case might be relevant. It's most often used to prioritize review or identify documents that can be ignored. Learn how to get started by creating your model.
After you’ve created your predictive coding model, it’s time to interpret your results! You can access your predictive coding models from the Document Analytics menu. The predictive coding model page is separated into three sections: action items, results, and training.
There are multiple ways to improve the accuracy of your predictive coding models.