When evaluating an AI-assisted legal tool, output quality is only one part of the decision. Teams should also examine why data is processed, who can access it, and how outputs will be used.
Define the purpose and data scope
Before uploading a document, clarify the work and the data it requires. Keeping unrelated personal or confidential information outside the task supports data minimization.
Document roles and responsibilities
The roles of the organization, technology provider, and any supporting providers should be assessed through contracts and internal processes. Retention, deletion, and data-subject requests also need a defined path.
Assess user access and AI access together
A user should not gain indirect access through AI to material they cannot view directly. Authorization should cover search and output generation as well as the interface.
Human assessment of output
AI output can be incomplete or incorrect. Before a result with legal effect is used, it should be reviewed with its supporting material and, where appropriate, assessed by a legal professional.
Review is continuous
Product scope, providers, and processing methods can change. Data-protection review is therefore an ongoing governance exercise based on current documentation and practice.
This article provides a general assessment framework and is not legal advice for a specific processing activity.