AI Contract Review Software
Your contract standards, applied as first pass redlines in Word.
Your playbook, prior redlines, and approved language already hold the standards your team has built over years of review.
- Turn those standards into playbook logicYour existing material defines how your positions should be applied.
- Apply your positions to recurring agreementsYour playbook produces the first pass directly against the contract.
- Keep the reviewer in controlYou decide what to accept, change, or reject.
Test BlackBoiler on a recurring agreement your team is already familiar with.
How It Works
From the standards you already use to a first pass redline in Word
BlackBoiler starts with the material that already reflects how your team reviews a particular agreement type. It turns that material into playbook logic, checks how the rules perform, and applies the relevant positions to a new agreement as tracked changes in Microsoft Word.
1 / 5Playbook builder
Start hereBring in what already reflects your positionUse existing guidance and examples rather than starting from a blank playbook.
Rule coverageSee how the playbook is developingBlackBoiler checks how rules operate against different language.
ReviewInspect the language before useYour team keeps control of the positions and supporting language.
In WordRun the review where the agreement already livesSelect the relevant playbook without moving into a separate review environment.
First passReview the proposed changesBlackBoiler returns the repeatable work to the lawyer for review.
Start with the playbook material, examples, and guidance your team already uses.
Who it is built for
Built for contract review where your positions have to hold across every recurring agreement.
In-house legal teams, law firms, and contract managers review the same agreement types over and over, across different counterparties and business needs. The positions they apply already exist, developed across prior negotiations, approved language, review guidance, and earlier redlines, even when they never sat in one complete playbook.
In-house legal teams reviewing the same agreements at volume
You own the standards the business negotiates against, and the same agreement types keep returning. BlackBoiler applies your prior redlines, approved language, and playbook to each new one, so the first pass already reflects the positions your team would take.
Law firms applying set positions across client matters
You bring standards refined over years of practice to every engagement. BlackBoiler carries those positions into the markup, so recurring review starts from your firm's approved language instead of a blank document.
Contract managers applying standards the business already set
You apply positions your legal team has already defined, without needing to be a lawyer. BlackBoiler produces the first pass as tracked changes in Word, and a lawyer reviews the redline before anything moves forward.
The manual gap
Manual legal contract review still requires someone to reconstruct the right position
A team may already know how it wants to handle recurring contract issues. The work remains in bringing the relevant sources together and deciding what fits the agreement under review.
Your standards are already set. Yet on every agreement, a skilled reviewer still has to find them, compare them, decide what applies, and rebuild the markup by hand.
The answer may already exist, but not in one place
A previous agreement may show what was accepted with the same counterparty. The playbook may hold the preferred position. An earlier redline may contain the fallback. Specialist comments or written guidance may add another part of the picture.
More volume repeats the same work
As recurring agreements move through the team, the same searching, comparison, and judgment happen again. Different reviewers may lean on different precedents or begin from different sources, even when the underlying standards are established.
The variation often comes from how those standards are found and applied, rather than from the absence of a settled position.
Behind the redline
What sits behind the first pass redline
The tracked changes in Word are the visible output. Behind them is a connected review system that carries your contract knowledge through to the markup the lawyer receives.
Evidence
Your prior redlines, approved language, examples, and written guidance record how your team has handled this language before. BlackBoiler treats that record as the evidence behind the proposed edit.
Logic
Prior redlines, approved language, examples, and written guidance demonstrate how your team handles recurring contract issues.
Checking
BlackBoiler checks whether the resulting change aligns with the intended outcome. A judge validator assesses that alignment, and statistical similarity checks add further evidence before the lawyer makes the legal decision.
Output
The relevant changes appear as tracked edits and comments in the agreement. The lawyer reviews the first pass.
Fits the stack you already have
Add AI contract review and redlining to the CLM workflow you already have
Your contract lifecycle management platform may already handle intake, approvals, signatures, and the wider contract lifecycle. BlackBoiler fits into that workflow at the one point a CLM tends to leave open: turning your defined positions into actual markup on the agreement in front of the reviewer.
The redline is produced and reviewed in Microsoft Word, so the review step sits within the tools your team already uses, then hands back to your existing process once the lawyer decides what moves forward.
What legal teams say about using BlackBoiler AI for contract review
A unique and powerful feature
One of my favorite aspects of BlackBoiler is its ability to automate contract review and save time and resources, especially for in-house legal teams who may be overwhelmed with the volume of contracts they review on a regular basis. The ability to build a legal playbook directly in the tool and have it review and mark up contracts according to the playbook is a unique and powerful feature. It allows businesses to tailor the review process to their specific needs, and it can be quickly and easily implemented into a workflow.Alex S.
User friendly and easy to navigate
The interface is user friendly and easy to navigate. The tool uses natural language processing to analyze the text and highlight clauses that may need attention. It also lets users create and manage their own markup rules and templates, tailoring the software to their specific needs, and customer support is excellent.Chandra S.
Faster review you can rely on
BlackBoiler Automated Contract Markup helps speed up the contract review process and make it better. A company or person can save time analyzing large contracts, because the efficiency of the tool is one we can rely on.Verified User
Useful templates and exhaustive coverage
Useful templates and easy options to change terms, with exhaustive coverage. It saves time in drafting..Huzaifa F.
Evaluate it on your own work
See what BlackBoiler produces on your own contract
Bring a recurring agreement and the material your team already reviews against: prior redlines, approved language, or existing playbook guidance. BlackBoiler returns a first pass in Microsoft Word you can hold against the edits your team would have made by hand.
- Did it catch the language your playbook covers?
- Do the edits reflect the positions your team uses?
- How much of the first pass is already right when you open it?
- What still needs a lawyer's judgment?
BlackBoiler Veris
Work through contract language in Word without losing sight of your position
Veris gives you a conversational way to work with playbooks and contract language inside Microsoft Word. Use natural language to describe the position you want, refine wording, or examine a clause against the standards already guiding your review.
Turn the way you describe a position into playbook guidance
Explain the position in plain language, including the outcome or fallback your team uses. Veris helps turn that input into playbook guidance, so the position does not have to begin as a fully written rule.
Refine contract language where the wording needs closer attention
Revise, strengthen, or remove provisions while keeping the relevant negotiation standards in view. The work stays with the agreement in Word rather than becoming a separate conversation disconnected from the contract.
Ask questions against the agreement you are reviewing
Use Veris to examine contract language, weigh a provision against your standards, and work through the position. The lawyer remains responsible for the resulting language and decides what should move forward.
Frequently Asked Questions
What does BlackBoiler do?
BlackBoiler is AI contract review software that turns your team's playbook, prior redlines, approved language, and examples into first-pass tracked changes in Microsoft Word. The markup reflects defined positions your team already uses. A lawyer then reviews the redline and decides what to accept, change, reject, escalate, or negotiate.
What is the difference between AI contract review software and contract redlining software?
AI contract review software covers the wider automated contract analysis, including contract analysis, clause review and document review. Contract redlining software focuses on applying proposed edits to the agreement itself. BlackBoiler brings the two together by using your standards to produce first pass tracked changes in Word, with lawyer review before anything moves forward.
What should legal teams look for in contract redlining software?
In-house legal teams should look for contract redlining software that applies their approved positions, works with existing playbooks and prior redlines, and returns tracked changes directly in Microsoft Word. Strong tools should also make the review process transparent, show how proposed edits align with defined standards, preserve human control, and let teams test the software on their own recurring agreements before committing.
Does AI contract review software use your playbook and prior redlines?
BlackBoiler uses playbook guidance, prior redlines, approved language, and examples as the basis for the positions applied during review. Those materials inform executable playbook logic rather than sitting beside the contract as reference material. Different contract language may still call for a different edit, so the resulting markup remains subject to lawyer judgment.
What types of contracts does AI contract review software handle?
BlackBoiler supports recurring agreement types where defined positions need to be applied repeatedly. Current BlackBoiler materials reference NDAs, service agreements and subcontract agreements. More complex contracts are also within scope, although the usefulness of the first pass depends on playbook coverage, the language and context of the agreement, and lawyer review.
What are the limitations of AI contract review?
AI contract review does not remove the need for human review or legal judgment. Playbook coverage may be incomplete, contract language may depart from prior examples, and unusual provisions may require a lawyer to make a fresh decision. BlackBoiler treats the output as a first pass: proposed edits are checked, returned as tracked changes and reviewed by the lawyer.
How is BlackBoiler different from other AI contract review tools?
Many AI contract review tools work with playbooks, unique client context and suggested edits. BlackBoiler keeps the team's standards connected to the first pass: examples and guidance inform executable playbook logic, the relevant position reaches the agreement as tracked changes in Word, the proposed output is checked, and the lawyer decides what stays.
Does AI contract review work with an existing contract management platform?
BlackBoiler focuses on the pre execution review and redlining stage rather than replacing contract lifecycle management. A CLM may continue handling intake, approvals, signatures and the wider contract workflow. BlackBoiler applies defined positions to incoming contract language as tracked changes in Word before the agreement moves forward for lawyer review.
Can ChatGPT redline a contract?
General-purpose AI for contract review works with uploaded contracts, reference material, and instructions and may suggest revised language. BlackBoiler is built around repeatable legal contract review: playbook guidance, prior redlines, and approved language inform executable logic that applies tracked changes in Word. The proposed edit is checked against the intended outcome and your examples before lawyer review.
How do you build a contract review playbook?
Start with material your team already uses when marking up contracts: previous redlines, approved language, fallback positions and written guidance. Those sources provide a practical base for the playbook, while additional positions are set in the builder. Setup depends on the agreement type and how much of the review you want the playbook to cover.
How is contract data handled by AI contract review software?
BlackBoiler uses the standards, edits and examples provided by your organization to support your contract review process. Client data is not used to train models shared with other users. For formal vendor due diligence, BlackBoiler's SOC 2 Type II report is available under NDA for security review.
Can I try BlackBoiler on my own contracts?
The seven day trial lets you test BlackBoiler on a recurring agreement your team already knows. Use the standards you would normally apply, then inspect the first pass redline in Microsoft Word against your usual work. A credit card is currently required to start the trial, while teams running a broader evaluation may request a demo.
How much does BlackBoiler cost?
BlackBoiler is offered through subscription plans, with current pricing and plan limits listed on the pricing page. The comparison depends on how contract review is handled today, including internal reviewer time, repeated manual markup, outside counsel spend, and available capacity. Use the live pricing page for the current figures before making a purchase decision.
How is AI contract redlining different from manual review and redlining?
AI contract redlining applies defined contract standards and approved positions across an agreement as a first pass. With manual contract redlining, the reviewer has to identify the relevant issue, locate the organization's position, determine the appropriate change, and mark up the agreement themselves. BlackBoiler takes on that repeatable first pass, leaving new risks, exceptions, and negotiation decisions to the appropriate reviewer.
Do I need legal expertise to use BlackBoiler?
You do not need to be a lawyer to use BlackBoiler. Legal, contract, and procurement teams can use BlackBoiler to apply the standards their organization has already defined, as tracked edits in Word. A lawyer reviews the redline before anything moves forward, handling exceptions, new risks, and negotiation decisions.
Your contract data stays yours
Use BlackBoiler without giving up control of your contract data
BlackBoiler applies your organization's standards inside your own account. Your contracts, playbooks, redlines, and negotiation positions are not used to train models or to improve BlackBoiler for other companies. Request access to our SOC 2 report, available under NDA, for independent assurance on the controls that protect and handle your data.
- Your contracts stay private
- Your positions remain proprietary
- Human review stays in control
About BlackBoiler
Contract review from a company that has done this since 2019
BlackBoiler has focused on automated contract redlining since 2019, before the current wave of legal AI. The technology is patented and purpose-built for one job: carrying the positions a legal team has already developed into first pass tracked changes in Microsoft Word, with the output checked before it reaches the lawyer and again during review.
Built on your standards, not a general model
Your playbook, previous redlines, approved language, and examples inform the positions BlackBoiler applies. The review starts from contract knowledge your team has already built, rather than a general-purpose model working from a prompt. The lawyer decides what to accept, change, reject, or negotiate.
Put your approved positions to work on the next recurring agreement
Test BlackBoiler on contract language your team already knows and judge the first pass against the markup you would have created by hand.