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.

• Watch the 5 minute video above or

• Read the predictive coding help article and beginners guide

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

• Read the interpreting your predictive coding model help article

There are multiple ways to improve the accuracy of your predictive coding models.

• Watch the 9 minute video above or

• Read the improving your predictive coding model help article

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

• 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