An AI agent can do more than answer a question. Depending on its design, it may search internal systems, retrieve documents, create records, draft communications, update workflows, or initiate actions through connected applications.
That makes permission management one of the most important parts of deploying an AI agent in legal work. The question is not only what the agent can understand. It is what the agent can access, change, send, or approve on a user's behalf.
Legal teams should treat AI agent permissions as an operational control, not a one-time software setting.
What Are AI Agent Permissions?
AI agent permissions define the resources and actions available to an AI system.
A permission may allow an agent to:
• Read a document repository;
• Search selected legal matters;
• Access client communications;
• Create a draft;
• Update a matter record;
• Send an email;
• Submit information to an external system;
• Delete, move, or modify data;
• Invoke another application or automated workflow.
These permissions may be inherited from the user, assigned directly to the agent, or created through integrations with other systems.
The safest model is not to give the agent broad access simply because the user has broad access. The agent should receive only the permissions required for the particular task.
Why Legal Work Requires Stronger Permission Controls
Legal systems often contain privileged communications, litigation strategy, personal data, confidential business information, settlement positions, and records subject to professional or regulatory obligations.
A person with access may understand that a document should not be sent outside the firm. An automated agent requires an explicit policy, technical restriction, or approval step.
The ABA Formal Opinion 512 explains that lawyers using generative AI must consider duties involving competence, confidentiality, communication, supervision, candor, and reasonable fees. Giving an agent access to legal data does not transfer those responsibilities to the software provider.
Start With the Principle of Least Privilege
The principle of least privilege means that a person or system receives only the access required to perform an authorized task.
For example, an agent preparing a summary of one contract may need permission to read that contract. It does not necessarily need access to every contract, the client's billing records, unrelated litigation files, or the firm's email system.
The legal team should define:
• Which users may activate the agent;
• Which matters the agent may access;
• Which document types it may retrieve;
• Whether it may read confidential or privileged material;
• Which actions it may perform automatically;
• Which actions require approval;
• How long the permission remains active.
Task-specific and time-limited access is generally easier to control than permanent access across the firm's systems.
Separate Reading, Drafting, and Executing
Not all permissions create the same level of risk.
Read Permissions
Read access allows the agent to retrieve or analyze information. It can still create confidentiality and privacy risk because the system may process sensitive content.
Draft Permissions
Draft permission allows the agent to prepare text or propose changes without sending or finalizing them. This creates an opportunity for human review before the work affects a client or third party.
Execution Permissions
Execution permission allows the agent to take an action, such as sending a message, modifying a record, submitting a filing, or approving a workflow.
Execution normally requires the strongest controls because an error may have an immediate external effect.
A useful default is:
• The agent may read only authorized information;
• The agent may prepare drafts within the approved matter;
• A qualified person must approve consequential external actions.
Use Matter-Level Access
Law firms often organize information by client and matter. AI permissions should follow the same structure.
If a lawyer is assigned to Matter A, the agent acting for that lawyer should not automatically retrieve content from Matter B merely because both records exist in the same repository.
Matter-level access can reduce:
• Cross-client disclosure;
• Accidental use of unrelated confidential information;
• Conflict-related exposure;
• Retrieval of outdated or irrelevant work;
• Unnecessary processing of personal data.
Access rules should also account for ethical walls, restricted investigations, internal employment matters, and matters involving particularly sensitive information.
Require Approval for High-Impact Actions
Some AI-assisted tasks are low-risk and reversible. Others can create a legal, financial, or reputational consequence.
Human approval should normally be considered before an agent:
• Sends a client or opposing counsel communication;
• Submits information to a court or regulator;
• Accepts or rejects contractual language;
• Modifies an official legal record;
• Deletes or permanently moves documents;
• Approves payment;
• Creates a binding commitment;
• Changes access permissions for another user.
Approval should be substantive rather than ceremonial. The reviewer needs enough information to understand what the agent intends to do and why.
Record What the Agent Did
An audit record should show:
• Who initiated the task;
• Which agent or workflow was used;
• What information the agent accessed;
• Which external tools were called;
• What output or action was proposed;
• Who approved the action;
• When the action occurred;
• Whether the action succeeded or failed.
These records support investigation, quality review, supervision, and improvement of the workflow.
They also help distinguish between a model-generated suggestion and a decision approved by a lawyer.
Prepare for Permission Changes
AI permissions should change when the underlying legal relationship changes.
Review access when:
• A lawyer joins or leaves a matter;
• A client imposes new restrictions;
• A matter becomes more sensitive;
• A user changes roles;
• A vendor integration is added;
• The agent gains a new capability;
• A client relationship ends;
• An incident or near miss occurs.
Revoking a user's account should also revoke credentials, tokens, integrations, and delegated permissions available to agents acting for that user.
How Alloomi Supports Controlled Legal AI Work
Alloomi AI helps legal professionals analyze documents and legal information while keeping human review central to the workflow.
Legal teams can use Alloomi to review materials, surface relevant information, compare language, and prepare work for further analysis. The final legal decision, communication, or external action remains with the responsible professional.
Teams considering more autonomous workflows can also read What Is a Legal AI Agent? to understand how agents differ from ordinary AI assistants.
Final Thoughts
An AI agent should not receive more authority simply because it can perform more tasks.
Safe deployment requires narrow permissions, matter-level access, separation between drafting and execution, approval for consequential actions, and records showing how the agent was used.
The best permission model allows AI to reduce routine work without making it difficult for legal professionals to see, control, and take responsibility for what happens next.
