NetDocuments
Description
The AI functionality of NetDocuments consists of predictive suggestions for saving files, such as Word documents and Outlook emails. Through machine learning, NetDocuments predicts the OPR matter into which it thinks the end user should save a specific file. The AI feature is intended to make the process of saving files into the pertinent matter number more efficient and streamlined.
Detailed example
The AI output from NetDocuments consists of predictive recommendations for the specific OPR matter numbers to which OPR staff should associate files saved into NetDocuments.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Because NetDocuments is OPR's repository of records, it is important that OPR staff save all matter-related files into NetDocuments associated with the correct OPR matter number. The AI feature in NetDocuments is expected to make the process of saving files into NetDocuments more efficient and user-friendly. That will both encourage end users to save files into NetDocuments and assist in making sure that files are correctly associated with the proper OPR matter numbers.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.