---
title: "AI agents for contract and policy review | Agentifiers"
description: "AI agents for contract and policy review compare contracts against your playbook, flag deviations, and draft redlines with reasons. Counsel makes every call."
url: https://agentifiers.com/use-cases/contract-review
---

Use case · Legal & risk

# AI agents for contract and policy review

AI agents for contract and policy review walk each incoming contract clause by clause against your negotiation playbook, flag deviations with links to the exact text, propose redlines in your approved fallback language with a short reason for each, and brief the requester. Counsel reviews every finding and decides what goes back to the counterparty.

## Who it’s for

- \~ Mid-market
- \~ Enterprise

## Systems it touches

- \~ Contract inbox or intake form
- \~ Document storage (Google Drive, SharePoint)
- \~ Contract lifecycle management tool
- \~ Clause library and negotiation playbook
- \~ Slack or email for review requests

## Where people decide

- \~ Any clause outside your approved fallback positions
- \~ Every redline before it goes to the counterparty
- \~ Final approval to sign

## What you keep

- \~ Review agents defined as code
- \~ Your playbook encoded as editable rules and examples
- \~ Evaluation set from past reviewed contracts
- \~ Signed audit-log exports
- \~ Runbooks for legal operations

[Agentify this workflow](https://agentifiers.com/contact)

## The workflow today

Sales sends over a customer’s paper or a vendor agreement. It waits in a legal queue. When someone gets to it, they read it end to end, compare each clause to the playbook from memory, mark up deviations, and write back. Low-risk NDAs wait just as long as complex master agreements.

In a mid-market company, this may be one in-house lawyer supported by outside counsel. In an enterprise, it is a legal operations function with intake, tiers, and service levels that are hard to meet.

## The agentified workflow

1. **Intake agent.** Receives the document, identifies the contract type and counterparty, checks for an existing relationship, and sets the review tier.
2. **Review agent.** Walks the contract clause by clause against your playbook: liability caps, indemnities, termination, data protection, payment terms, governing law. Each finding links to the exact text and the playbook position it departs from.
3. **Redline agent.** Proposes redlines using your approved fallback language and writes a short reason for each change that the business owner can understand.
4. **Summary agent.** Produces a one-page brief for the requester: what is standard, what is not, and which decisions they need to make.

Counsel reviews the findings and redlines, edits as needed, and decides what goes back to the counterparty.

## Guardrails

- The agents never send anything to a counterparty. Outbound redlines require a person. Here is [where we put approval points](https://agentifiers.com/blog/human-in-the-loop-by-design).
- Findings always cite the source clause, so reviewers can verify rather than trust.
- Contract text stays [in your AWS account](https://agentifiers.com/byoc) and is sent only to the model providers you approve.
- Retention policies, export, and erasure apply to every document and run.
- Playbook changes ship as new versions and are evaluated against past contracts before release.

## Where it goes next

The same review pattern applies to internal policy checks, vendor security questionnaires, and obligation tracking after signature, such as renewal dates and notice periods that feed scheduled reminders. Because the playbook lives as editable rules and examples, legal can tighten or relax a position in one place and see the effect in evaluations before it reaches a live review. Over time, low-risk contract types such as standard NDAs can move to a lighter review tier with spot checks.

Each review agent runs on the same [source-available agent platform](https://agentifiers.com/platform), with the traces and signed audit logs your reviewers expect. See how an [internal agents engagement](https://agentifiers.com/internal-agents) runs and how [pricing](https://agentifiers.com/pricing) works.

## How to start

We agentify one workflow at a time as an [internal agents](https://agentifiers.com/internal-agents) engagement, in an AWS account in your AWS Organization. See [how engagements run](https://agentifiers.com/internal-agents#engagements), or [tell us about your process](https://agentifiers.com/contact). Small business without an AWS account? We can [set it up and run it for you](https://agentifiers.com/small-business).

Related reading:[Why your agents belong in your own AWS account](https://agentifiers.com/blog/why-agents-belong-in-your-own-cloud)

## Common questions

### Do the agents send redlines to the counterparty?

No. The agents never send anything to a counterparty. Every redline needs a person before it goes out, and the final approval to sign stays with your team.

### How do reviewers check the agents' findings?

Every finding cites the source clause and the playbook position it departs from, so reviewers can verify rather than trust. Playbook changes ship as new versions and are evaluated against past contracts before release.

### Where does contract text go?

Contract text stays in your AWS account and is sent only to the model providers you approve. Retention policies, export, and erasure apply to every document and run, and audit logs can be exported with signatures.

## More use cases

[OperationsScheduling & dispatchSee the workflow](https://agentifiers.com/use-cases/scheduling-dispatch)

[FinanceAccounts payableSee the workflow](https://agentifiers.com/use-cases/accounts-payable)

[Customer experienceCustomer support triageSee the workflow](https://agentifiers.com/use-cases/customer-support)