Knowledge Retrieval
Search Gmail and Drive for relevant correspondence, contracts, and documentation.
Retrieve relevant knowledge while keeping access scoped, execution isolated, and AI activity auditable.
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Use AI on sensitive work without losing control.
Legal teams need to balance the value of AI with the risk of ungoverned tools accessing privileged or sensitive material.
Search Gmail and Drive for relevant correspondence, contracts, and documentation.
Run each agent in a dedicated VM with Google Cloud KMS encryption.
Log documents accessed, summaries generated, and agent queries.
See how legal professionals securely generate insights from sensitive data.
Input · Legal Request
An authorized legal request starts the workflow while remaining within the access and governance controls defined by the organization.
Data · Approved Context
Search permitted sources such as Gmail and Drive for relevant correspondence, contracts, and documentation.
Governance · Model
Process the request using only the AI model approved for the relevant user, data, and type of work.
Output · Insight
Create the required summary or output using the approved enterprise context retrieved for the request.
Control · Audit
Record the documents accessed, model activity, generated output, and relevant AI actions for complete traceability.
Maintain strict compliance and control over how and where AI operates.
01/03
Enforce which models can be used for different categories of sensitive data.
02/03
Use approved channels such as Google Workspace and Slack while retaining governance.
03/03
Run CommandLyne in your own Google Cloud environment where data-residency requirements call for it.
Keep relevant information accessible while maintaining scoped access, isolation, and a traceable audit trail.