Managing Provision Models
Access the Provision Library by clicking the Provision Library tab in the left navigation bar.
The Provision Library lists all mapped and unmapped provision models. A provision model contains either a value (a date, a duration, a percentage, an amount of money, a pick list, or a short text) or language (text). Provision models are classified as built-in or custom. Mapped provision models can be applied when a document is imported for extraction. An unmapped provision model is one that has been detected but has not been selected for inclusion in extractions.
In addition to Discovery AI's extensive library of built-in provision models, you can configure and train your own Custom Provision Models. You cannot edit or delete built-in provision models. You can, however, update them through syncing.
When the user reviews clauses from an extracted document, the on-screen highlight may not match information gathered correctly by the provision model. This issue affects only clauses, not fields. It is scheduled for repair.
Alert reviewers to this issue.
Viewing Provision Model Details
The Provision Library's default layout provides information about stored provision models at a glance, including each model's name, type, and last sync date.
Clicking a provision model's name opens a detailed view of that model.
Reviewing Feedback
Review the quality of feedback from reviewers before the AI adopts it.
- Click the FEEDBACK APPROVAL tab.
- Click the blue check to approve the feedback or the blue X to reject it. A confirmation pop-up message appears. Confirm your choice.
Syncing the Provision Library
Syncing the Provision Library brings in new provision models and updates existing ones from the AI service provider. It is a good idea to synchronize regularly to get new provision models from the publisher and benefit from ongoing improvements to the AI.
