Safe AI for legal teams is not one security badge or model choice. Access, data use, source visibility, and human judgment need to be designed together.
Permission boundaries should persist throughout the work
A user who cannot access a file should not receive its contents through search or an AI answer. This behavior should be tested directly during product evaluation.
Supporting material should be inspectable
Seeing the documents and passages behind an answer helps a user identify gaps or inconsistencies. Sources do not guarantee accuracy; they provide evidence for review.
Data-use terms need verification
How model providers process customer content, retention conditions, and whether it is used for training should be confirmed through current contracts and technical configuration.
Human control is not only the final step
A user should be able to assess the selected inputs, proposed action, and intermediate outputs—not just the final result.
Review documentation and behavior together
Security documentation is an important starting point. Teams should also examine how product behavior, administrator access, and data requests work in practice.