Data Governance AI Terms and Definitions

An acceptable value is a value determined by an Admin that is an approved entry for a specific field in a Filevine project. When a field input is not equal to an acceptable value, an alert is triggered.

An acceptable expression is an expression composed as a Regular expression (regex), determined by the Admin, that defines if an entry is acceptable for a specific Filevine field. When a field input does not satisfy the regular expression pattern, an alert is triggered.

An alert is a notification or evidence indicating that a rule has been broken.

Criteria refers to specific conditions or parameters configured in a rule that the Filevine project must satisfy. When the criteria for applying a rule are met, the alert in the Filevine project is triggered as required.

Conditions are the building blocks for criteria and refer to a specific requirement(s) or logical statement(s) that must be met in a Filevine project for the rule to be triggered.

Expressions used for pattern matching and text validation. They allow users to define patterns that specify acceptable string formats, simplifying data validation by avoiding the need to list each acceptable value individually.

A rule is a predefined set of input validations to enforce data consistency, accuracy, and compliance within Filevine Projects. Rules are designed to monitor and manage specific fields or project data, ensuring they meet certain standards set by firm Admins. Additionally, rules can be configured based on user access to control permissions for specific actions in Filevine.

A Rule type in Neodeluxe Data Governance AI refers to the different categories of rules that can be set to be applied within projects in Filevine. Current rule types include:

• Based on Acceptable Values
• Based on Mandatory Fields
• Based on User Access

For more information on rule types, please visit: Understanding Data Governance.