Review Requests Piling Up in Legal? Here's How an AI Approval Assistant Can Help Manage Them

How Can Legal Manage Multiple Review Requests?

AI Automationcan help the Legal team manage document review requests starting from intake, classification, prioritization, routing to reviewers, reminders, to recording review results.

• Requests are automatically classifiedbased on document type and needs.

• Priorities are determinedbased on deadline, contract value, and risk level.

• Documents can be directed toAppropriate legal reviewer.

• Approval hasSLA, for example a reminder after 24 hours.

• The status of each request can be monitored without having to check emails one by one.

For example, Legal accepts30 review requests per day. If each request takes 5 minutes just to read the email, group the documents, and forward them to the reviewer, there is about150 minutesadministrative work that can be reduced.

From a Full Inbox to a Clear Review Workflow

A common problem isn't just the number of documents. Request information is also often incomplete.

Some simply send files with the message "please help review." Others don't include a deadline, contract value, or purpose of the collaboration.

With AI Automation, requests can be made more structured before entering the Legal queue.

1. Create a Clear Intake Form

Users fill in information such as:

Document Type → Business Unit → Counterparty → Contract Value → Deadline → Purpose → Attachment

If the required data is incomplete, the request can be returned before going to the reviewer.

With AI Automation, initial validation can be done automatically so that Legal does not need to go back and forth asking for basic information.

2. Determine Review Priorities

Not all documents need to be processed at the same speed.

For example:

• High:Large value contracts or deadlines ≤3 days.

• Medium:Deadline 4–7 days.

• Low:Deadline >7 days.

Parameters can be adjusted according to company policy.

With AI Automation, the system can provide priority scores based on deadline, contract value, document type, and risk indicators.

3. Routing to the Right Reviewer

Different documents require different skills.

For example:

NDA → Commercial Legal

Vendor Contract → Procurement Legal

Data Processing Agreement → Privacy/Compliance

Employment Agreement → Employment Legal

With AI Automation, this rule can be used to determine reviewers automatically.

If the primary reviewer is unavailable, the workflow can use a backup reviewer.

4. Provide Reminders Based on SLA

Once the request comes in, the timer can start running immediately.

For example:

Request Created → 24 Jam → Reminder → 48 Jam → Escalation

With AI Automation, notifications can be sent based on the request status.

Legal can also have a simple dashboard:

New | In Review | Waiting Business | Waiting Counterparty | Approved | Rejected

This kind of status makes bottlenecks easier to find.

5. Record All Activities

For audit purposes, every important activity should be recorded.

Minimum notes:

Request ID | Reviewer | Status | Timestamp | Comment | Final Decision

With AI Automation, audit trails can be created automatically throughout the workflow.

This helps when questions arise like, “Who did the review?” or “Why is this document being held up for 3 days?”

What Legal Preparations Need to be Prepared?

• Determine the types of documents that are reviewed most frequently.

• Create an intake form with mandatory fields.

• Set priority rule.

• Create a mapping of document types and reviewers.

• Define the SLA for each category.

• Prepare a backup reviewer.

• Create consistent workflow status.

• Enable reminders and escalation.

• Keep an audit trail.

• Implement role-based access.

• Start pilot from1–2 types of documentswith high volume.

• Use legal software for companies and officially licensed software.

The primary goal isn't to automate legal decisions. It's the administrative work surrounding the review process that's being automated, allowing reviewers to focus on the clauses and risks that truly require judgment.

FAQ

1. What is the function of AI Approval Assistant for Legal?

Helps organize requests, determine priorities, perform routing, provide reminders, and record review status.

2. Can AI determine reviewers?

Can. AI Automationcan use document type, department, contract value, and other parameters as routing rules.

3. What if the incoming request is incomplete?

The system can validate mandatory fields and return the request before forwarding it to the reviewer.

4. Can requests have different priorities?

Yes. Priority can be determined based on deadline, contract value, risk level, or document type.

5. Can the system remind reviewers?

Yes. Reminders can be sent after a specific SLA, such as 24 hours, and then escalated if no action is taken.

6. Can Legal see all requests in one dashboard?

Yes, if the workflow has a dashboard that displays status, owner, deadline, and priority.

7. Can reviewer activity be tracked?

Yes. The audit trail can record status, timestamp, reviewer, and comments according to system configuration.

8. Is AI replacing Legal reviewers?

No. AI helps manage administrative processes and work. Legal decisions and interpretations remain the responsibility of authorized reviewers.