Importing and reusing variables in AI Markup
Variables can now be imported from a library of predefined variables from an existing template before initiating AI markup suggestions. During the markup process, the AI markup analyses the imported variables and attempts to match them with the fields being created in the new template. When a match is found, the system reuses the existing variable instead of generating a new one.
This process enables the reuse of existing data, reducing the need to manually create new variables. These variables are extracted directly from the selected template.
One of the ways to import variables is by using external dictionaries. To do this:
Navigate to the
External Dictionary
section from the top ribbon.
Click
Attach
and select a document (e.g., a Non-Disclosure Agreement) containing relevant variables.
Click
OK
to confirm. The variables will be automatically imported into the current dictionary.
After importing variables, you can run markup suggestions to automatically identify and tag relevant fields within the document. When the system detects a match with an existing variable, it highlights the match with a green indicator. This helps avoid duplication and ensures consistency across templates.
Span Detection in Model Documents
Span detection is available for model or precedent documents where optional or alternative text is indicated with a specific notation, typically brackets. These brackets will be replaced with span brackets as defined in the template settings. Span detection can add spans around text which contains field suggestions and identify nested spans (optional text within an area of text that is controlled by another condition).
When a span is created, a new yes/no question is added to the dictionary. The question prompt asks the user to confirm the condition on which this optional text should be included in the generated document.
Additionally, during the span review process, brackets that appear at the beginning and end of the paragraph, indicating unaccepted changes, are removed once the suggestions are accepted.
Span detection is currently not supported for generated documents where optional text is not indicated by the document owner.
We encourage you to try out this new feature and share your thoughts with us by filling out
this quick survey. Your insights will be invaluable in helping us refine and enhance the tool. Together, we can create the future of document automation.
Find our more about Advanced AI Features
here.