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.
Watch the 16 minute minute video above or
Topics covered include:
How to set up assignment groups and distribute 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
Training Activities Checklist
After you've watched videos and have a basic understanding of how to use Predictive Coding, practice your skills and try performing the following actions:
Create a new predictive coding model and review at least 200 documents with 50 relevant and 50 irrelevant
Use the coverage graph to select documents for review to improve your model
Create weighted terms to help train your model
Create a training set from a randomized set of documents