AI Contract Review Software 2026: LegalOn, Spellbook, Luminance and More (Compared)

Start with LegalOn for a first pass against your playbook, Spellbook for a lawyer working through Word redlines, and Luminance when the question spans a contract repository. These 7 options for AI contract review software also include Ironclad and Juro for approval workflows, plus Claude and ChatGPT for supervised assistance. Contract review AI should return evidence and proposed changes; your lawyer still owns the legal sign-off.

AI Contract Review Software at a Glance

Choose the job before choosing the subscription. A playbook is your approved list of preferred terms, acceptable fallbacks and exceptions that need escalation. A redline shows proposed changes to the contract. A CLM, or contract lifecycle management system, carries the agreement through creation, review, approvals, signature and storage.

Product pages, pricing models and documented limitations verified on 29 October 2026. “Custom quote” means the vendor does not publish a starting dollar amount on the cited page. Free individual access does not establish permission to process your company's confidential agreements, and the paid surface you need may have different terms and usage limits.

The order follows the work, rather than pretending a repository and a Word assistant compete on one score. For research, intake and other legal workflows, see the broader AI tools for lawyers guide. This comparison stays with non-disclosure agreements (NDAs), vendor agreements and customer contracts.

Contract Review AI: What to Delegate and What to Check

Delegate finding and organizing issues; retain the decision about what the agreement should say. The useful first pass makes a lawyer's inspection easier, with a clause location, the relevant wording, the playbook rule and a proposed next step.

Clause spotting identifies passages for review. For a vendor agreement, that might mean finding confidentiality, renewal, termination and liability language, then checking whether a provision your playbook expects is missing. Finding the words is only the start: a definition elsewhere, a schedule or an amendment can change their effect.

Playbook deviation checks compare the agreement with your organization's rules. For example, if counsel has supplied approved notice wording, the software can flag different wording and propose the supplied fallback. It should also identify where the playbook has no answer. Inventing a company position to fill that gap is a failure, even if the resulting sentence sounds professional.

Summaries and extraction turn text into a useful working list: who must do what, which dates appear, and where the source says so. A procurement lead can use that list to prepare questions. Before acting on it, the responsible reviewer must open the source and resolve qualifications, related documents and ambiguous dates. LegalOn documents playbook-driven review, while Luminance documents source-backed repository answers; these are different outputs to evaluate. LegalOn review, Luminance Repository.

Where a Lawyer Must Still Sign Off

A lawyer should check the interpretation, missing issues, proposed language, interactions between clauses, applicable law and the final negotiated document. The business owner separately decides commercial tradeoffs and obtains the company's required approvals. A green flag from software is not legal or commercial approval.

Consider a customer contract whose main agreement looks familiar but whose order form changes an important obligation. A neat summary of the main agreement is incomplete. The reviewer needs the complete document set and a reasoned view of which terms govern, not just a longer AI answer.

For a founder without in-house counsel, the output should become a focused packet for a qualified lawyer: the agreement, proposed edits, source passages and unresolved questions. Do not ask the assistant to declare the contract safe to sign. This is a software-selection workflow, not advice about the terms of your particular agreement. The ABA's guidance on generative AI reinforces that professional obligations remain with the lawyer.

Check the Data Arrangement Before the Document

Have the person responsible for legal and security approval confirm the account, permitted documents, retention, access controls, model-training terms and connected services. A vendor's security certification or no-training statement answers part of that assessment; it does not determine privilege or authorize disclosure of a particular contract.

Use a public, synthetic or properly sanitized NDA for the initial comparison if production-data approval is incomplete. Sanitizing means checking comments, tracked deletions, properties and attachments as well as the visible names. Do not let a free trial become an unapproved copy of the contract archive.

First-Pass Review Against Your Own Playbook

1. LegalOn: The Starting Shortlist for Repeatable Review

LegalOn is a legal AI platform for contract review and redlining in Word or a browser, and it is the first option to evaluate when your bottleneck is repeated checking against company positions. Its My Playbooks feature captures preferred terms, fallbacks and risk tolerances; Playbook Agent can convert templates, guidelines and prior redlines into structured review guidance. For an in-house lawyer facing another supplier agreement, the useful result is a list of departures from the approved position with proposed changes. Choose it for consistent review preparation; the strength of your playbook still determines the usefulness of the comparison. Playbook capabilities.

Best for: In-house lawyers and fractional general counsel reviewing recurring NDA, vendor and customer paper.
Standout: Reusable company positions and fallback language in a review workflow.
Where it works: Microsoft Word add-in and web platform.
Pricing: Custom per-seat quote based on team size and capabilities; no public starting dollar rate. LegalOn pricing.
Free trial: Ask sales to confirm access and duration for the quoted configuration.

The purchase detail that matters is custom-playbook entitlement. The pricing page lists pre-built playbooks in Core Review, while Contracting Suite adds My Playbooks and Playbook Agent. A demo using a vendor's standard rules therefore does not prove the package under discussion will run your rules. Put the required capability in the quote and trial scope.

Take an NDA with a clause your lawyer has already approved as an exception. A useful pilot checks whether the tool explains the difference from the usual standard without quietly treating that exception as the new default. Keep the exception's approval separate from the rule it departed from. Otherwise, feeding prior agreements into a playbook builder can preserve compromises you did not intend to repeat.

LegalOn also has a repository layer, Vault. Its product overview describes extracting obligations, renewal dates and other contract details. That is relevant if you need the archive too, but it should be an additional requirement to evaluate, not a reason to enlarge a first-pass pilot before it works.

A Useful First LegalOn Session

1. 1

   Choose the company's side

   Tell the reviewer which party you represent and supply the approved playbook for that contract type. Do not reuse a customer-side position simply because the incoming document is also called an MSA, or master services agreement.

2. 2

   Validate the playbook before running review

   Use My Playbooks or the playbook prepared from your guidelines, if enabled in the trial. Have counsel inspect the preferred position, fallback and escalation rule for each item you will score.

3. 3

   Inspect one finding all the way through

   Run review in the approved Word or web environment. Trace a flagged issue to the original clause, compare the proposed redline with the approved fallback, and record accept, modify or reject before moving on.

Redlining Contracts in Word

2. Spellbook AI for Lawyers: Keep the Review Beside the Clause

Spellbook is a contract AI suite whose Word add-in suggests redlines and comments while the lawyer works in the document. It can reuse custom playbook instructions and leaves approval of suggestions with the user. For a commercial counsel negotiating an incoming customer agreement, its appeal is the short path from finding an issue to inspecting the proposed wording. Choose Spellbook when the deliverable is a carefully reviewed Word markup, and judge it by how little corrective editing remains. Spellbook Review.

Best for: Lawyers whose working document and negotiation handoff are in Word.
Standout: Redline and comment suggestions beside the agreement, with reusable review instructions.
Where it works: Word add-in for the review workflow; the suite also includes Associate for multi-document work.
Pricing: Custom quote based on the number of team members on the license; no public starting dollar rate. Spellbook pricing.
Free trial: 7 days; larger organizations may be offered an extended trial.

The first evaluation should distinguish a useful correction from a stylistic rewrite. Suppose your approved instruction is to flag a defined term used inconsistently. The best output identifies the affected passages and suggests the smallest necessary change. A sweeping rewrite of surrounding language adds another legal-review task, even if it reads smoothly.

Give the tool your represented party and approved instructions, then check whether its changes preserve obligations you intended to keep. Also inspect the final Word file outside the assistant: comments, tracked changes, numbering and defined terms all matter to the counterparty handoff. This is an acceptance test to run, not a claim that Spellbook fails it.

Do not evaluate the entire suite from the Word demo alone. Spellbook's current homepage also promotes intake and repository capabilities through its ACM offering. If those jobs matter, request their access conditions and demonstration separately. Current product scope.

A Contract Repository With Extraction

3. Luminance: Find the Answer Across the Contract Set

Luminance is a contract intelligence platform for negotiation and portfolio analysis, making it the shortlist choice when the question is spread across executed agreements. Its Repository surfaces contract information with source-backed answers and connects related agreements and amendments. For a procurement lead preparing supplier renewals, that is more useful than reviewing an isolated NDA in a chat. Choose Luminance when the unit of work is the contract set, and require every important extracted answer to survive a source check. Luminance Repository.

Best for: Legal operations, procurement and finance teams answering questions across an agreement portfolio.
Standout: Related-document context alongside extracted obligations, renewals and contractual terms.
Where it works: Web contract platform and Microsoft Word for negotiation markups.
Pricing: Sales-led evaluation; no public starting amount or billing unit on the cited product and contact pages. Contact Luminance.
Free trial: Request a demo and agree any pilot terms with sales; a public trial duration was not confirmed.

Luminance's negotiation product also applies playbooks, approved fallback language and prior negotiation context, including markups in Word. That gives it relevance before signature as well as after. The practical purchase question is whether your first deployment needs that combined context or just a reviewer for incoming paper.

The hard repository test is an agreement family: a main contract, an amendment and a related schedule. Ask a question whose answer changes if the amendment is ignored. A plausible answer from the original contract is still wrong for the current relationship. Have the reviewer open the cited passages and verify which documents the answer used.

Then test absence. Ask about a required field missing from the supplied document set. The acceptable output identifies missing or ambiguous evidence. It should not quietly convert “not found” into “no obligation.” That distinction matters when a spreadsheet of extracted values becomes a renewal calendar or a procurement decision.

Source-backed answers also depend on what you supplied. A tool cannot rescue an incomplete archive by sounding certain. Before rollout, decide who maintains document families, corrects extracted fields and resolves duplicate versions. That work belongs in the implementation plan and quote discussion.

Review Inside a Contract Approval Workflow

4. Ironclad: Connect the Finding to the Approval

Ironclad is a CLM platform, so its strongest fit is an organization that needs review findings to stay connected to approvers, signature and the contract record. Its product descriptions cover configurable workflows, approval roles and repository metadata, while AI Assist supports first-line review against configured playbooks. For a legal ops lead managing vendor intake across departments, the handoff can matter as much as the redline. Choose Ironclad when the problem is moving an agreement through the company with a traceable decision. Ironclad product descriptions.

Best for: Organizations coordinating legal, procurement, finance and signature approvals.
Standout: Review within a configured contracting process and repository.
Where it works: Web CLM and Ironclad Editor; its documented Word integration lets you edit a document and return a version to Ironclad.
Pricing: Custom quote shaped by products, users, workflows and growth; confirm integration costs. Ironclad pricing.
Free trial: Demo offered; no public self-service free trial confirmed on the pricing page.

The review configuration is consequential. AI Assist for Playbooks requires AI-Powered Clauses and rules. Those rules can identify a required clause to insert, a nonstandard value to change or a prohibited clause to remove. An unconfigured workflow is not equivalent to a review against your policy. AI Assist documentation.

Two documented behaviors deserve a place in the pilot. AI Assist's summary covers committed text, not redlines. Also, with Track Changes switched off, it edits the contract directly. Have the reviewer confirm the state of the document before using a summary to brief an approver, and keep changes inspectable during evaluation.

For example, a supplier returns a draft with an unresolved change. A summary of committed text can describe the current base document without describing that pending negotiation. The workflow should send the approver the right version and the unresolved issue, not merely a fluent summary labeled “latest.”

The Word integration documentation describes editing in Word and syncing back, after which AI and Playbooks operate on the saved version. It also says that integration does not support Word's real-time co-authoring. Have the vendor demonstrate the exact Word-to-CLM handoff your lawyers use; “integrates with Word” is not a sufficiently precise buying requirement.

5. Juro: Give Business Teams a Defined Contracting Route

Juro is a contracting platform combining legal-controlled AI review with collaboration and approval workflows. It reviews and redlines in Word against your playbooks, while its contract editor supports drafting and summarization. For a founder or ops lead whose sales and procurement requests keep arriving through disconnected channels, Juro is worth evaluating as a shared process. Choose it when business users need a clear route through contracts and Legal needs to retain control over exceptions. Juro AI intake and review.

Best for: Growing businesses combining routine contracting with a defined legal escalation path.
Standout: Playbook review alongside approvals, comments and version control.
Where it works: Web contracting platform and Word add-in.
Pricing: Custom package, support and integration quote; the pricing flow asks about contract volume and required AI features. Juro pricing.
Free trial: Demo offered; no public self-service free trial confirmed on the pricing page.

Juro's June product update says Admins and Editors can run AI Review in Word without uploading or syncing first. That is useful when the incoming document starts in an email attachment. It does not remove the need to decide where the reviewed version and its approval record will live afterward.

The concrete limit to check is 10 reviews per user every 2 hours, published in Juro's AI fair usage terms. A quiet pilot may never encounter it. A burst of quarter-end agreements might, so describe your busiest review period when discussing the package. The same terms distinguish AI Review from AI Extract, which extracts fields from documents; do not treat every AI feature as sharing one usage allowance.

A useful demonstration follows a nonstandard customer agreement from receipt to escalation. The business user should know why it needs Legal, the lawyer should see the exact issue and proposed change, and the approver should receive the reviewed version. Ask the vendor to show that path on your example, including a revision arriving after an earlier approval.

Skip the broader deployment if all you need is a lawyer's occasional markup. The process earns its keep when multiple people need to work from the same agreement and status, when the next person can see the reviewed document and its status.

General Assistants and Free AI Contract Review

6. Claude: Legal Templates You Can Adapt to Your Playbook

Claude, Anthropic's general AI assistant, now has documented legal templates that make it a credible option for supervised contract-analysis experiments. Anthropic's own legal page includes a playbook deviation board and tabular review, with links back to source language. A small legal team can use that structure to compare clauses with its supplied standards before deciding whether it needs a dedicated platform. Choose Claude for a configurable first-pass workspace; evaluate its configuration and human review as part of the product. Claude for legal teams.

Best for: Teams with approved guidance and a reviewer who can validate a configurable workflow.
Standout: Anthropic-provided playbook deviation and tabular review templates.
Where it works: Web and desktop; Claude for Microsoft 365 provides Word editing with tracked changes on paid plans.
Pricing: $0 individual entry, with paid subscriptions and per-seat Team plans; paid access is required for the Word surface. Claude pricing.
Free trial: Free individual plan available; it is not a trial of the organization's paid controls.

Anthropic's playbook workflow compares clauses with supplied standards and distinguishes standard language, fallbacks, deviations and missing provisions. Tabular review organizes answers across agreements with source passages. Anthropic's legal-artifacts announcement describes the output as a first pass to which a lawyer applies judgment.

There is also an Anthropic-made Legal plugin with contract review and NDA triage commands, configured around the organization's negotiation positions and escalation rules. A ready-made workflow reduces setup effort; it does not supply your company's approved risk appetite. Review the configuration before treating its categories as decision rules.

Claude's Microsoft 365 page documents tracked changes in Word. For a Word-based legal team, the useful comparison is whether the exact document, source references, exception routing and final output meet your legal team's acceptance criteria.

For an NDA pilot, supply a clean agreement and the approved playbook, then require a quoted passage and rule reference for each finding. Keep “not covered by the playbook” as a valid outcome. If the assistant creates a policy instead of asking for a decision, mark that as a failed response.

Anthropic says Team and Enterprise content is not used for training by default, and Enterprise offers retention controls. Those are plan-specific facts, not a blanket assurance about every individual account or connector. Use the configuration approved for the document.

7. ChatGPT: A Useful Cross-Check With a Clear Scope

ChatGPT, OpenAI's general AI assistant, fits summaries, document questions and a supervised cross-check of review notes. OpenAI also documents a Word sidebar that can summarize the open document, revise selected text and identify inconsistent terminology. For an ops lead preparing a packet for counsel, the useful output is a concise issue list tied to supplied text. Choose ChatGPT when you can specify a narrow task and check its result; do not treat a general answer as a completed legal review. ChatGPT for Word.

Best for: Supervised summaries, terminology checks and preparation of questions for counsel.
Standout: Flexible document instructions in a general assistant and Word sidebar.
Where it works: Web and desktop document workflows, plus the Microsoft Word add-in.
Pricing: $0/month individual entry with limited uploads; paid subscriptions and model-dependent Word usage apply. ChatGPT pricing.
Free trial: Free plan available; limits and workspace controls depend on the plan.

The Word add-in has a relevant boundary: it can work with the open document but cannot automatically reference other files on your computer. Supply the relevant playbook text or permitted connected context explicitly. Otherwise, “review against our playbook” can refer to a document the assistant has never received.

OpenAI warns that Word edits can change content you intended to preserve. Save a copy and inspect the differences. Word usage draws on model-dependent token pricing and applicable plan allowances, so include usage in your evaluation.

A suitable request asks the assistant to list each supplied playbook rule, quote the matching NDA language, identify deviations or missing evidence, and leave unresolved decisions for counsel. Ask it to separate what the document says from its suggested wording. That makes checking easier than an undifferentiated paragraph of “risks.”

For work spanning several supplied files, OpenAI's file workflow documentation describes attaching source files and defining review criteria. Treat that as a separate surface to evaluate, rather than assuming a Word sidebar sees the same file set. Keep a record of exactly which documents were provided.

OpenAI says business data is not used for model training by default in its business offerings. Confirm the workspace and applicable terms before uploading production contracts. A personal subscription and a company-approved workspace should not be interchangeable in your procedure. OpenAI enterprise privacy.

Contract Review AI Software: Who Should Pick What

If the output is a first-pass exception list against established rules, start with LegalOn and compare Spellbook. Use the same approved playbook. Favor the tool that produces findings your lawyer can trace and correct with less effort, rather than the one that flags the most clauses.

If the output is a Word markup, put Spellbook first and include Claude when your organization already approves its paid workflow. The choice flips when the general assistant requires enough manual source handling or cleanup that the dedicated review interface earns its cost.

If the question spans executed contracts, put Luminance first. A lawyer asking “what does this NDA say?” and an operator asking “which supplier relationships contain this obligation?” need different evaluations. Test the repository with related documents, not just standalone PDFs.

If work stalls between people, compare Ironclad and Juro. The choice should turn on the demonstrated intake-to-approval path, existing systems and who maintains the process. If you already use one successfully, test its enabled review capabilities before adding another destination for contracts.

If you need a low-commitment experiment, use Claude or ChatGPT with approved test material. A general assistant earns a larger role only after its outputs and data arrangement pass the same review standard. It does not earn that role by sounding like a lawyer.

How to Trial an AI Contract Review Tool in 30 Minutes

Use the same NDA, same represented party, same playbook and same expected output in two tools. This is a proposed 30-minute screening exercise, not a claim that procurement, installation or legal review takes that long. Arrange access, permissions and an approved document before starting the clock; for a quote-only product, ask the vendor to prepare that environment in advance.

For a first-pass review need, compare LegalOn with Spellbook. If one is unavailable, compare an accessible candidate with an already-approved Claude or ChatGPT workflow. Record the substitution and the exact product surface so you do not mistake a chat experiment for a Word or CLM evaluation.

The clock measures whether a candidate deserves a deeper pilot. A tool that cannot finish within its allotted window gets an incomplete result, not an invented score.

1. 1

   Minutes 0 to 5: Prepare the answer key

   Use an NDA counsel has already reviewed, or a synthetic version counsel has checked. Prepare a private checklist of known issues, acceptable language that should remain unchanged, and a required item that is absent. These expectations must come from your lawyer's playbook, not from another AI's answer. Give both tools identical files and instructions, but keep the answer key for scoring.

2. 2

   Minutes 5 to 13: Run Tool A

   Request an issue list and proposed redline. Require a clause location, exact source wording, the relevant playbook rule, suggested action and any uncertainty. Save the original output before corrections. Record setup friction within the task, missing source references and whether the result can be reviewed in your normal document workflow.

3. 3

   Minutes 13 to 21: Run Tool B

   Start from the same original document, not Tool A's edited copy. Use the same instruction and playbook, and ask for the same deliverables. Do not coach the second tool with discoveries from the first. Record the same observations and preserve its original output.

4. 4

   Minutes 21 to 30: Compare With Counsel's Key

   Check both outputs against the held-back expectations. Count material misses, unsupported flags, unsupported wording changes and findings without a usable source. Inspect whether proposed changes alter otherwise approved language. Note which output is easier to correct and hand off, and list anything requiring a longer test.

Use this instruction as a starting structure, then insert only your approved requirements:

Review the supplied NDA for the party identified in the brief, using only the supplied playbook as the company's negotiating policy. For each finding, give the clause location, exact contract wording, matching playbook rule, proposed action and uncertainty. Identify missing required provisions. Mark anything the playbook does not address for counsel. Keep proposed edits separate from source text. Do not approve, send or sign the agreement.

Score the Cost of Checking, Not the Confidence of the Answer

Keep separate counts for material misses, false alarms, unsupported edits and untraceable findings. Do not average away a serious miss with a long list of easy successes. Counsel determines which issues are material for this test; the scoring exercise should not invent legal importance from a colored badge.

Also record whether the reviewer could verify the output within the comparison window. “Not verified” is a legitimate outcome. A beautiful redline that nobody checked has not won.

Before buying, expand the pilot to the agreements that stress your workflow: a vendor MSA with schedules, a customer draft with pending revisions, a scanned document if you receive them, and an agreement with an amendment. Measure lawyer correction time and the final accepted output. One NDA cannot establish a vendor's accuracy across your workload.

How These Were Picked

The comparison prioritizes company-playbook support, the exact review surface, inspectable output, repository context where needed, approval handoffs and pricing transparency. The product and pricing pages were checked during this review; the software was compared from documentation, not exercised in a hands-on trial. The NDA protocol above is a proposed evaluation, not a report of measured results.

The shortlist covers the named in-house contracting candidates and adds ChatGPT as a general-assistant alternative. Legal research, litigation preparation and e-discovery products were excluded because those jobs do not determine who should review your next vendor agreement. No vendor accuracy percentage, time-saving claim or testimonial result is used as a measured fact here.

The Ones to Avoid

Avoid Ironclad or Juro as your first purchase when the only problem is an occasional Word redline. Their broader workflow can be valuable, but require a concrete approval or collaboration problem before paying to implement it.

Avoid Luminance as a repository purchase without a document-set pilot. If your source archive omits amendments or contains unresolved versions, demonstrate how that will be handled before relying on extracted answers.

Avoid the wrong LegalOn package for a custom-playbook requirement. Confirm My Playbooks in the proposal instead of assuming entry review access includes it.

Avoid treating Spellbook's bulk acceptance as a substitute for review. A feature that applies changes efficiently does not decide whether they are appropriate.

Avoid unapproved personal Claude or ChatGPT accounts for confidential company contracts. Use the account and data arrangement your organization has approved. Free access is useful for a clean experiment, not a reason to bypass that decision.

Frequently Asked Questions

What is the best AI contract review software?

LegalOn is the starting shortlist for repeatable playbook review, Spellbook for a lawyer's Word markup, and Luminance for questions across a repository. Ironclad and Juro fit approval workflows; Claude and ChatGPT fit supervised, explicitly scoped assistance. The best choice is the one that passes your own document and handoff test.

How much does Spellbook cost?

Spellbook publishes custom pricing based on the number of team members on a license, rather than a fixed starting dollar amount. Its pricing page offers a 7-day free trial. Request a quote for the seats and capabilities you intend to evaluate.

Is AI contract review software free?

Claude and ChatGPT offer free individual entry, with limits and different controls from organizational offerings. Spellbook publishes a free trial. Use appropriate test material, verify current access, and keep legal approval with a lawyer; free access is not an unlimited or autonomous contract-review service.

Use the AI Tools Map for Business Owners to place contract review within the rest of your company's AI workflow.