# AI contract review and obligation tracking for every customer contract

URL: https://wolfia.com/products/customer-contract-intelligence
Description: AI contract review and obligation tracking. Wolfia tells you that you committed to 24 hours for three of your customers.
Last updated: 2026-05-17

Remember what you promised each customer. People sign whatever the customer wants and forget until something bad happens. Wolfia tells you that you committed to 24 hours for three of your customers.

## From their paper to a redline on yours

### Upload the contract they sent

The DPA, MSA, or security addendum as a DOCX or PDF. Wolfia reads every section, every comment left in the margin, and every tracked revision already in the document.

### It reads your side before it judges theirs

Your standard terms in force on that date, your ratified playbook positions, what you have already signed with other customers, and the policies and approved facts behind your security answers.

### Every clause gets a verdict and its evidence

Each requirement comes back marked favorable, needs review, or not applicable, with the policy, SLA, or certification behind it linked. Clauses your corpus says nothing about are routed to you instead of guessed.

### Export it with the redlines already written in

Proposed changes appear as tracked changes and the reasoning as comments, in your own paper’s language. Accept, reject, or rewrite each one, then export the DOCX.

The basics

## What AI contract review software does

AI contract review software reads a contract someone else wrote and tells you, clause by clause, where it sits against what your company has already committed to. Instead of a lawyer opening a blank comment thread on a fifty-page agreement, the software gives every requirement a verdict, the reason behind it, and the policy, SLA, or certification that supports it.

Four documents show up again and again in a B2B software deal. A data processing agreement, a master services agreement, a security addendum, and a platform or SLA schedule. They arrive on the customer’s paper, they re-ask the same twenty or thirty requirements in different words, and the answer to most of them is already written down somewhere in your policies. That is what makes the work automatable. A DPA review is rarely a fresh legal question. It is the same set of positions, asked again in a new order.

The point is not to remove the lawyer. It is to move the lawyer from author to reviewer, so the first pass arrives triaged and cited and the judgment goes to the clauses that actually need it.

The problem

## What it removes

How it works

## How AI contract review works on a DPA or security addendum

What it reads

## What Wolfia reviews, clause by clause

Upload the DOCX or PDF the customer sent. Wolfia reads every section, every comment your team or theirs left in the margin, and every tracked revision already in the document. A comment written by your own team is treated as a standing position. A comment written by the counterparty is the ask behind the text.

Before it judges anything on their paper, it reads yours. Your standard terms in force on that date, the playbook positions your team has ratified, the values you have already signed with other customers, and the policies and approved facts behind your security answers.

Clauses your documented policies already satisfy come back marked as met, with the document named. Clauses that protect you better than your own template are marked favorable, so your team knows to keep them through a negotiation. Clauses that have to move before you sign carry a word-level redline that touches one sentence, and inside it only the words that change, written in your own paper’s language. Headings, definitions, and cross-references are recorded as not applicable, so you can see they were read rather than skipped. A clause that needs a fact your knowledge base does not hold yet goes to a person, with the searches Wolfia ran listed so you know which document would settle it.

A second pass then reads every finding for coverage and accuracy and records its concerns, and a benchmark places the contract against market norms for its type. What you export is a DOCX with the redlines already in as tracked changes and the reasoning as comments. For the mechanics of the redline itself, see [how AI contract redlining works](/blog/ai-contract-redlining-how-it-works).

After signature

## What you promised each customer

Once a contract is signed, the commitments inside it are easy to lose. One customer was promised breach notice within 24 hours, another gets 30 days’ notice before you add a subprocessor, a third can ask for your pen test summary once a year.

Wolfia reads every signed contract and pulls those commitments into one register per customer, with the clause each one came from, an owner and the window that applies. When the same commitment shows up in more than one contract with a customer, the register keeps the tightest term, so nobody has to remember what was promised to whom.

The boundaries

## Who reviews the output, and what the software does not do

Anyone on your team with contract review access can upload a contract and work the findings. Adding standard terms and ratifying playbook positions are admin actions, so the positions a redline steers to are the ones your team signed off on rather than whatever the last reviewer happened to type. A review runs without standard terms or a playbook at all, from your knowledge base alone. Both make it sharper, because standard terms give the commercial clauses a baseline and the playbook steers redlines to language legal has already agreed.

What it does not do is decide. It does not sign, it does not negotiate, and it does not write new legal language of its own. Every position it proposes comes from something you already publish or already signed, and when the corpus says nothing about a clause it hands the clause back instead of inventing a stance you would then have to defend. It also does not stand in for the security team’s read on a security addendum. Once a contract is signed and its review completes, the commitments inside it feed your obligations register with owners and due dates. If you want the manual version of the same checklist first, we wrote up the [DPA and MSA review checklist for security teams](/blog/dpa-msa-review-checklist-security-teams).

What you get

## The job, done

An honest note

## Where this is today

The contract review is newer than Wolfia’s security questionnaire product. It does not replace your review or the security team’s. The job it does today is getting you out of the cold start and the manual section pull, and it gets better every time you feed a position back in.

Why Wolfia

## Why teams pick Wolfia

General legal AI invents positions you then have to defend. Wolfia takes the position from your own policies and approved facts, so a proposed redline is your paper’s sentence rather than a new one, cites every flag, and routes what it does not know to you. The corpus behind it is the same one that runs Wolfia’s [security questionnaire software](/products/questionnaire-automation), which is why the answer legal gives a customer matches the answer security already gave them. See the full workflow in [Wolfia for legal teams](/use-cases/legal).

Who it’s for

## Who this is for

In-house legal and security teams that review incoming DPAs and security addendums, do not want to be the queue every deal sits in, and need to know what every signed contract commits them to.

FAQ

## Questions legal teams ask