ContractKen vs Ironclad: how they compare in 2026
Choose Ironclad when the project starts with coordinating the whole contracting process, including requests, approvals, signatures and reporting after signature. Its review agent works within that larger system, with permission scoped access to repository answers from other assistants. ContractKen is the more focused choice for a lawyer who needs detailed playbook positions, drafting assistance and controlled edits in Word. The purchasing plans differ as much as the interfaces: Ironclad combines a quoted platform with agent usage and service arrangements, whereas ContractKen offers a standard per user review subscription. Data controls also require separate consideration. Ironclad has defined processor notice and incident commitments, while ContractKen offers local masking and private inference but has not completed its stated SOC 2 Type II work.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Models classify clauses, compare negotiation positions, explain deviations and generate contract drafts or proposed edits. The current pipeline combines language inference, entity recognition, retrieval from approved material and generative models selected for the task. These functions are central to the review and drafting work. The Word application also retains useful nonmodel components: a shared clause library, playbook administration, formatting checks and reference validation. Users can organize approved language and maintain negotiation standards alongside the AI analysis. ContractKen thus joins model driven legal work to an established editing and knowledge workflow, rather than treating every formatting or storage operation as artificial intelligence.
Intake, the no code Workflow Designer, approvals, signature, the repository and analytics run without AI, and Ironclad sells that system of record as the base of the platform. Ironclad AI sits on top of it. Ironclad Agent takes a plain language request and returns the answer, the contract or the workflow, or hands the task to a specialized agent. Contract Review Agent redlines third party paper against playbooks and, in early access, precedent, Intake Agent pulls terms into launch forms, Renewal Agent briefs upcoming renewals, and Analytics Agent charts contracting data. The agents act on live workflow state, such as where a contract sits in approval, as well as on documents. The contract platform predates generative AI and would still work without the models.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Review findings connect to the relevant contract passage, and generated explanations draw on the customer's playbooks, clause library and prior agreements. Retrieval preserves section structure, definitions and cross references instead of splitting text without that context. Drafted clauses identify whether they came from a precedent, approved library language or a playbook requirement. Low confidence suggestions are flagged for review. The models undergo internal classification tests before deployment, but current numerical results, a reproducible test set and error rates for generated legal conclusions are not specified. A research result about similar legal models is separate from ContractKen's production accuracy.
Ironclad's extraction uses two passes to connect values to source text. The model returns each value with a description of where it sits in the contract. A second pass ties that value to the exact OCR tokens, so the interface highlights the passage with its page and position. If the model returns no match, the system tries the raw text and then the normalized value before giving up on a location. Contract Review Agent bases redlines on the customer's playbooks and templates, with precedent based redlining in early access, and redlines can show their rationale. Answers through the MCP connectors link back to the contract in Ironclad. No accuracy figure, error rate or test set is available, and the AI Addendum says output may be incorrect or inaccurate.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
Playbook Driven Review checks preferred, fallback and walkaway positions; Comprehensive Review provides an alternative when no organizational playbook exists. Risk sensitivity can be adjusted, and the playbook framework distinguishes deviations that require escalation to a partner. Reviewers navigate to the exact clause, inspect an explanation and approve, modify or reject a proposed change. No edit enters the agreement without explicit human approval. Drafts receive a playbook compliance report before use, and administrators control who can change the playbook itself. These controls separate automatic analysis from the lawyer's decision about the final language and the route for an unacceptable negotiating position.
Ironclad Agent routes each request to the right agent or workflow, and the agents work inside existing contracting workflows under the user's permissions. Contract Review Agent proposes redlines, flags risk and applies positions in Ironclad or directly in Microsoft Word, with the final decision left to the reviewer. Playbooks set preferred positions and fallbacks, and answers through the MCP connectors are limited to contracts the user can already open. The AI Addendum makes the customer responsible for reviewing and validating output before using it, and says the AI products are no substitute for human oversight. Agent stop conditions, handback routes and limits on work completed without a person are not specified.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Named practitioners describe using ContractKen in contract work. Aseet Patel, a lawyer and legal technology founder, uses it for agreements and term sheets before sending work to outside counsel for final review. Sharon Zachariah, an innovation lawyer and former partner, describes using it after drafting or reviewing client contracts. These accounts identify people and actual tasks, but give no dated baseline or measurement method. Separate drafting illustrations promise substantial reductions in time to a first draft, and the review calculator estimates savings from assumed workloads. Those illustrations do not establish measured outcomes for either named practitioner or the current AI pipeline.
Named customers report figures. NEXT Insurance says Contract Review Agent gave legal operations half its time back, and AES reports first pass redlines that took 30 minutes to two hours now reach a first draft in minutes. Signifyd puts an MNDA review or custom order form clause at minutes rather than an hour to a day, and Hormel's senior counsel reports turnaround cut from 12 weeks to 3. A Forrester study drawn from five customer organizations puts the three year return at 314 percent. Apart from that study, the figures come from the customers themselves, undated and with no method stated.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
The security commitments treat content as confidential work product, restrict staff access to necessary support under confidentiality obligations and separate customer tenants with individual encryption keys. The Moderation Layer masks sensitive text locally, offers a preview and validates the sanitized version before external model processing. Public or shared model training is excluded in the security FAQ, while the architecture also describes controlled feedback learning and private customization. The general terms reserve content review for service improvement. Retention and purge controls exist, but internal matter walls and a consistent contractual training restriction are not established across these different surfaces.
Ironclad's AI Addendum lets it train its own models on customer data, input and output only after a customer enables AI Training Settings in the admin console. An opt out stops new training from that date. That data is first de identified, anonymized and aggregated, and output for other customers may not contain it. Whether or not a customer opts in, Ironclad may use input and output to evaluate the performance and accuracy of the service. External model providers may not train on customer data and run under zero data retention where available. The Enterprise Services Agreement treats customer data as confidential information, and SOC 2 covers the privacy category. The terms say nothing about attorney client privilege or work product, and access follows roles without specified matter boundaries.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The terms distinguish ContractKen from a law firm or attorney and state that its information is not legal advice. They direct people needing advice to a licensed lawyer and do not create a professional relationship with the vendor. The product reinforces supervision through source inspection, playbook controls and required approval of generated changes. Its confidentiality explanation also engages with lawyers' duties under ABA Formal Opinion 512. Standard clauses include common law jurisdiction notes, but that coverage does not define a complete set of professional practice limits. The trial audience includes people who are not lawyers as well as legal teams.
Ironclad markets its AI to legal teams and to sales, procurement and operations users, and describes the platform as built for everyone, lawyers or not. Its AI Addendum states that Ironclad is not the customer's legal advisor, that using the AI products creates no attorney client relationship, and that the customer should consult its own counsel. A separate AI Disclaimer says output is not legal advice and should be verified with a licensed professional before anyone acts on it. Neither document addresses competence or supervision duties, or which jurisdictions the product suits.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
ContractKen describes a controlled model update process using feedback from accepted, modified and rejected suggestions. Those signals are aggregated and reviewed before supervised retraining, rather than changing the model instantly after each user action. Updated models face held out tests using precision, recall and F1 measures; performance must remain stable or improve before release. Administrators can also restrict sensitive information through redaction rules. This is a concrete development and release framework. A named person accountable for AI governance, current test results and findings about uneven performance across jurisdictions, contract types or groups are not specified.
Ironclad says every AI feature passes through its Evaluation Framework, which measures accuracy, consistency and reliability against curated benchmarks and real contract data. Subject matter experts validate model output during development and after release, with feedback loops meant to catch bias early, and training data is chosen to cover varied contract types and jurisdictions. Dimitry Dukhovny, the chief information security officer, leads security, compliance and AI governance. Customers can review, override and keep governing agent behavior across teams and contract types. Evaluation results and performance differences by contract type, jurisdiction or party are not available.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Administrators can request an immediate purge of contracts, prompts, logs and backups. Operational logs normally remain for 30 days, with a contractual option to set that period to zero. Enterprise controls include single sign on, administrator multifactor authentication and permissions for playbook uploads, draft review and data export. Staff access is restricted and logged. The security FAQ states continuous monitoring and material incident notification within 72 hours or a faster legal deadline. A complete current subprocessor register and the DPA require a request, and the default retention period for application prompts and generated output is not separately stated.
Ironclad's Data Processing Addendum, version 3.10 from 5 March 2026, limits storage of customer personal data to what the services need. It destroys all copies, archives included, within 90 days of the agreement ending, returns data within 30 days on request and issues a deletion certificate within 30 days. A security incident is reported to the customer within 48 hours of Ironclad becoming aware of it. The subprocessor list names each provider, its activity and its location for the United States platform, the EU datacenter and Clickwrap. A new subprocessor comes with 30 days' email notice and a right to object. External model providers run under zero data retention and may not train on customer data. Data is encrypted with TLS 1.2 or higher in transit and AES 256 at rest, with per tenant keys and bring or hold your own key options, and access follows administrator set roles.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The public terms disclaim accuracy, completeness and noninfringement warranties and cap aggregate liability at the greater of $100 or fees paid in the preceding 12 months. Exceptions concern death, property damage or injury from gross negligence, and fraud or fraudulent misrepresentation. Customers indemnify ContractKen for specified claims. The security FAQ offers a stronger position, including an IP indemnity, performance warranty, cyber and professional insurance and different liability exceptions. Paid customers may instead have an Enterprise Services Agreement, whose text is not available here. Those stronger commitments therefore do not clearly replace the default terms for every subscriber.
The Enterprise Services Agreement, version 2.2 effective July 2026, governs warranties and financial remedies. Ironclad defends and indemnifies customers against third party claims that the platform infringes intellectual property, and against claims from unauthorized disclosure of customer data caused by its breach of the data and security terms. It warrants that the services materially conform to the agreement and comply with applicable law; if a nonconformity is not fixed within 30 days, the customer may terminate for a pro rata refund. Liability is capped at the fees paid in the prior twelve months, rising to three times that amount for data and confidentiality breaches and the data indemnity. Gross negligence, intentional misconduct and the intellectual property indemnity sit outside the cap, and consequential loss is excluded. The service level schedule targets 99.7 percent uptime, with service credits as the remedy. The customer bears sole responsibility for results from AI output, which Ironclad does not warrant as accurate, and the agreement carries no insurance commitment.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
The Word add in reads the active agreement chosen by the user, rather than scanning other files or email. Review findings navigate to the underlying clause. Approved suggestions return through Office.js as ordinary tracked changes with explanatory comments, and the privacy mapping restores original names and values. Users supply their playbooks, precedents and clause language, then review output within the same document. Standard setup requires Microsoft Word and includes onboarding support. Integrations with systems such as iManage belong to the separately quoted custom workflow offer; they are distinct from the detailed, standard Word editing connection.
Ironclad offers native integrations, iPaaS connections to more than 8,000 applications, and an API, with Tray, Zapier and MuleSoft in its directory. The directory names Salesforce, which is AppExchange approved, Coupa, SAP, NetSuite, Zip and Ramp, Microsoft Word and Teams, Slack, DocuSign and Adobe Acrobat Sign, and Box, Google Drive, OneDrive, Dropbox and Egnyte. MCP connectors answer questions about contracts and workflow status in Claude, ChatGPT and Slackbot, scoped to the user's permissions and linked back to Ironclad. No iManage or NetDocuments connector is identified, and the directory does not specify individual field mappings or sync directions.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
The standard service combines a Word add in with a hosted analysis pipeline. Sensitive entities can be replaced locally before sanitized text reaches ContractKen's servers and external AI providers. Primary hosting is on AWS, with European Union or United States residency available on request. Regulated teams can obtain private inference in their own Azure tenant or virtual private cloud, and enterprise customers can supply an endpoint. These options distinguish local preparation from remote analysis. Exact cloud regions, the location of every provider's processing and the configuration or price differences between residency choices are not specified.
Ironclad runs as a cloud service on Google Cloud Platform, in multiple zones in the United States, with a separate EU datacenter. For EU hosted customers the subprocessor list places Anthropic and OpenAI, along with Elastic Cloud, Datadog and the product database, in the EU, so AI processing stays in that region too. Clickwrap runs separately on Amazon Web Services in the United States. Customers can bring or hold their own encryption keys. Ironclad does not describe a tenancy model or what changes between plans.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
ContractKen describes SOC 2 Type II certification as in progress and its controls as aligned with ISO 27001 and ISO 27701. The security FAQ also mentions a report under a nondisclosure agreement, without identifying a completed audit period or service scope. Encryption, tenant isolation, administrator authentication, annual independent penetration testing and customer audit access are separate operating controls. Penetration test summaries and a security paper are available on request. Its own certification remains unfinished, without a dated independent audit, a named auditor or a defined assurance scope covering the ContractKen service.
Ironclad holds SOC 1 and SOC 2 Type II reports from routine third party audits covering security, availability, confidentiality and privacy, along with ISO 27001, 27701, 27017 and 27018. It runs a GDPR program with standard contractual clauses, complies with HIPAA and holds Cloud Security Alliance Trusted Cloud Provider status, with a public CAIQ on the alliance's site. Penetration tests run each year and vulnerability tests each quarter, and disaster recovery is tested twice a year. Certification documents are requested through a security portal, and the website gives no auditor, audit period or report date.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The architecture identifies DeBERTa for clause classification and natural language inference, plus spaCy and custom entity types for recognition. Generative models handle explanations and edits after retrieval from approved material. The security FAQ names OpenAI and Google as example API providers, while enterprise customers can bring their own endpoint. Routing selects models by task and can change as performance improves. Exact generative model families, versions and processing regions are not specified. The 30 day notice commitment concerns material changes to data handling or service levels, rather than every substitution of a model in the pipeline.
Contract Review Agent uses models from Google Gemini, OpenAI and Anthropic, chosen for quality, latency and performance, and Ironclad says it evaluates and swaps in models as they change. Its own models, which learn from aggregated, anonymized data of customers who opt in, sit alongside them. The subprocessor list names Anthropic, OpenAI and Extend for AI and Google Cloud Platform for cloud and AI infrastructure, each in the United States or the EU. A new subprocessor brings 30 days' email notice and a right to object, and AI subprocessors run under zero data retention where available and may not train on customer data. Ironclad does not say which model serves which agent, and a change of model within an existing provider triggers no notice.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
The standard Word subscription costs $149 per user per month on monthly billing or $119 with annual billing. It has no minimum seat requirement and includes unlimited review and redlining, a clause library, playbooks, formatting, onboarding and training. A guided trial lasts 14 days, and cancellations or seat reductions can receive a prorated refund. Custom AI and workflow projects use a quoted proof of concept lasting eight to 12 weeks, including usage and customization. Standard installation is included; custom implementation support is also described as included, but the project fee and enterprise deployment price are not stated.
The base CLM, AI assistant and eSignature products use a custom quote, with deployment led by the customer, Ironclad's legal engineers or a partner. API connections, integrations, extra instances and support plans can add charges. Eligible agents consume a shared pool of AI Credits, with additional use billed at $1 per unit unless administrators enable a cap or buy prepaid packs. Not every AI feature uses those credits, and existing Contract Review Agent seat arrangements continue through the current contract term. Playbook creation and optimization require Professional Services; precedent redlining and Playbook Agent are in early access. A starting platform rate and fixed implementation fee are not specified.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
Law firms and internal legal teams can review commercial agreements, draft from prior transactions and maintain shared negotiation language. Examples include nondisclosure, service, software, employment, supply, lease and acquisition agreements. Prebuilt clauses cover common law jurisdictions including the United States, United Kingdom and Australia, with jurisdiction notes and tags for custom language. Separate playbooks can serve different teams, contract types or jurisdictions. Multilingual review is described broadly, but a tested language matrix and unsupported practice boundaries are not specified. The product centers on transactional drafting and negotiation; its clause guidance does not establish a general legal research or litigation service.
Ironclad sells to enterprise and growing companies, with dedicated pages for general counsel, legal operations, procurement, sales and IT. It describes the platform as handling every contract type, from legal and sales to finance, HR, marketing and procurement, from intake through renewal. Named customers include Mastercard, L'Oreal, Cisco, Docker, Gusto and Rippling. The platform centers on contracting, while Contract Review Agent also supports legal questions with embedded citations. Ironclad does not say which organization sizes or contract types it does not serve.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
Section 8 permits review or editing of content for "operating and improving the Service" without a model training exclusion. The security FAQ excludes training public or shared models, while the architecture describes aggregated lawyer feedback used in controlled retraining and private customization. Another statement says no customer data trains models. The Enterprise Services Agreement may supersede the general terms, but its training clause is not available in the public agreement.
Section 1.1 of the AI Addendum, version 2.1 from 20 April 2026, lets Ironclad train its own models on customer data, input and output once the customer turns on AI Training Settings. The data is de identified, anonymized and aggregated first, an opt out stops new training but not training already under way, and external model providers may never train on it. Ironclad's product FAQ says the default setting depends on the customer's agreement and data location.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Administrators may request immediate deletion of contracts, prompts, logs and backups. The security FAQ gives operational logs a 30 day default and allows that period to be set contractually to zero. It does not separately define a default window for application prompts or generated answers. The privacy policy's period after account termination concerns personal information and does not establish how long AI interactions remain during active use.
During the term, the Data Processing Addendum keeps customer personal data only as long as the services need it, and the AI Addendum sets no separate period for prompts and output. All copies are destroyed within 90 days after the agreement ends, with a 28 day window to export the repository. External model providers run under zero data retention.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Customer tenants are logically separated and use individual encryption keys. Enterprise roles control who uploads playbooks, reviews drafts or exports information, and shared precedents are available to authorized team members. These controls separate organizations and administrative activities. A permission model that divides opposing matters within one firm, or carries a connected document system's ethical walls into retrieval at query time, is not specified in the standard Word workflow.
Ironclad keeps its own role based permissions, set by administrators, rather than inheriting them from a document system. Agents and MCP answers respect the same permissions, so a user sees only the contracts already open to them. Nothing describes walls between matters, since the product is built for in house teams rather than firms.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The terms allow ContractKen to preserve or share information when reasonably necessary for legal process, law enforcement and protection of rights or safety. The privacy policy also permits disclosures in response to legal requirements. Neither sets out advance customer notice for a subpoena, a process for challenging a request or a transparency report. The separate security incident notice commitment concerns breaches and does not supply a legal demand notification policy.
The Data Processing Addendum commits Ironclad to tell the customer promptly of any government or law enforcement request for its personal data, unless the law forbids it, and to help the customer contest it. The Enterprise Services Agreement allows disclosure of confidential information under a court or government order after reasonable notice where the law permits. No transparency report is available.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Review and drafting use the customer's playbooks, clause library and prior agreements. ContractKen also supplies a library of commercial clauses and describes bundled language as authored internally, licensed or drawn from public domain material. Individual external sources and their rights are not listed, nor is an update schedule for a primary law corpus. Jurisdiction notes and refreshed sample language support drafting without establishing a comprehensive collection of legal authority.
Ironclad's AI works over the customer's own contracts, playbooks and workflow data rather than a body of law. Its own models learn from aggregated, anonymized patterns across customers who opt in, and Ironclad cites more than 2 billion contracts processed. No source, scale, license or refresh cycle is given for that training data.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
ContractKen can flag a precedent that no longer matches the team's current playbook and replace language from the approved clause library. It also traces generated clauses to their inputs. These checks concern contract standards and provenance, rather than the subsequent treatment of a judicial decision. A commercial citator connection, a method for checking whether authority has been overruled or an inline legal status warning is not specified.
Ironclad centers on contracts, while Contract Review Agent can also answer legal questions with embedded citations. No citator, treatment signal or check of later history is described.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The interface flags low confidence suggestions and gives reviewers supporting sources, explanations and control over proposed edits. Playbook thresholds identify unacceptable negotiating positions and can send those issues to a partner. That escalation is about contract risk rather than unsupported answers. An explicit refusal response when retrieval cannot support a generated conclusion, or a published demonstration of the system declining such a question, is not described.
Contract Review Agent flags missing clauses and departures from a company's standards, and extraction highlights the passage each value came from. When the model cannot place a value, the grounding system retries on the raw and normalized text rather than returning nothing. No path for declining to answer, and no confidence signal for the user, is described.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database has no entry naming ContractKen as the tool behind fabricated legal citations as of October 15, 2026. Its stated work centers on contract drafting, clause review and proposed Word edits, with the lawyer approving changes. This court record concerns one specific kind of incident; it does not establish an error rate for those tasks or validate the accuracy of the current models.
Ironclad has no entry in the AI Hallucination Cases database, Damien Charlotin's record of court decisions involving hallucinated AI content. Ironclad is a contracting platform, and its output is seldom filed with a court as cited authority.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The Moderation Layer explanation addresses ABA Formal Opinion 512 and connects its confidentiality duties to local masking, user previews and logs of external AI requests. It discusses informed consent and also references several state bars, the SRA and the CCBE. It does not map the product to named opinions in multiple jurisdictions. These statements explain ContractKen's approach; they do not guarantee privilege or establish that every deployment satisfies a lawyer's duties.
Ironclad's AI Addendum and AI Disclaimer say output is not legal advice and should be verified with a licensed professional. No ethics opinion or bar guidance is named, ABA Formal Opinion 512 included.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The privacy workflow logs who triggered AI analysis, what information went to which provider and when. Enterprise administrators can export document activity and enable prompt history exports, while Word preserves accepted edits and comments. These records identify parts of the assisted work performed on an agreement. ContractKen also markets shorter drafting and review times, but gives no corresponding guidance on recording billable hours, charging clients or disclosing the effect of those savings.
Named corporate customers describe shorter contract reviews and less legal operations work. NEXT Insurance reports recovering half of its legal operations time, while AES and Signifyd describe first redlines and NDA reviews in minutes. The platform serves internal legal, procurement, sales and operations teams handling their organization's agreements. It does not provide a law firm billing workflow or a client fee disclosure process for the time saved.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
ContractKen offers a DPA, current subprocessor register, security paper, data flow diagram and insurance certificates on request. Some assurance materials require a nondisclosure agreement. Its public security FAQ explains tenant separation, model provider restrictions and purge options, but is not a complete provider list or a client consent package. A firm can begin its assessment from those commitments, while the detailed materials for a client's AI requirements require direct contact.
Ironclad's subprocessor list names Anthropic, OpenAI and Extend for AI and Google Cloud Platform for cloud and AI infrastructure, with locations for the United States platform and the EU datacenter. The Enterprise Services Agreement, Data Processing Addendum and AI Addendum are public in its legal center. A new subprocessor brings 30 days' email notice and a right to object. No notice pack for a client's outside counsel guidelines is available.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Anonymized versions and interaction logs preserve the information sent to AI providers, while drafting identifies source clauses and Word retains accepted edits. Administrators can export activity logs and prompt history. These provide pieces of an explanation of how an agreement was produced. A single export tying each generated passage to the exact model version, retrieved sources and a named human verification step for a court certification is not specified.
Ironclad's workflows record routing, assignment and approvals for each contract, and AI review is described as auditable, with humans able to review and override it. Extracted values highlight their source passage and redlines can show their rationale. No export records which model produced an output or who verified it. Ironclad's output is contract work rather than court filings.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
Which one fits
Choose ContractKen if
- A lawyer's immediate task is reviewing and negotiating the agreement already open in Word.
- Playbook fallbacks, walkaway limits and partner escalation are more central than a new companywide contracting workflow.
- You want a standard subscription for unlimited review and a separate evaluation of local masking or private inference.
Choose Ironclad if
- Requests and approvals need to connect to signing, repository reporting and ongoing contract operations.
- Users need contract answers from connected assistants while retaining the permissions they already hold in the repository.
- Your deployment includes a governed agent usage balance, integration work and professional services as part of a wider CLM project.
In summary
ContractKen
ContractKen brings review and drafting into Word without requiring the lawyer's main task to move into a contract lifecycle workspace. Its playbooks can define preferred terms, fallbacks, walkaway limits and escalation thresholds, while Comprehensive Review adds a broader clause check. The AI Legal Index identifies its explicit negotiating boundaries and targeted Surgical Redlines as useful controls for work on the current agreement. A local Moderation Layer can remove sensitive terms before configured model processing, and private inference options are offered for enterprise use. Standard Review pricing is per user and includes unlimited redlining. Its security and standard contract commitments are less complete than the stronger terms described for custom enterprise arrangements.
Ironclad
Ironclad organizes intake, approvals, negotiation, signing and the contract repository, with agents working across that lifecycle. Contract Review Agent proposes playbook based changes in Ironclad or Word, while the wider agent surface handles portfolio questions and workflow tasks. The AI Legal Index identifies permission scoped answers through MCP connections to Claude, ChatGPT and Slackbot as a practical extension of its repository. The base platform requires a quote, and eligible agent actions can consume a shared usage allowance. Existing review seat arrangements and early access features have distinct commercial treatment. External model providers cannot train on customer content; training Ironclad's own models requires an administrative opt in.
Questions buyers ask
Does Ironclad's review agent still work in Word?
Yes. Contract Review Agent can propose playbook based redlines in Word as well as Ironclad. The distinction is the surrounding lifecycle system and connected repository, not simply whether a Word interface exists. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Is Ironclad's $1 AI rate its subscription price?
No. It is an additional eligible AI usage unit. The base CLM subscription requires a quote, and implementation, integrations and professional services can add charges. ContractKen's published standard rate is instead a per user review subscription. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Which supports sensitive text masking before a model request?
ContractKen describes local pseudonymization through its Moderation Layer, with original terms restored after processing. Ironclad's stated controls instead include provider training restrictions, zero retention at external models, encryption and administrator permissions. These are different controls rather than interchangeable privacy guarantees. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Are the newest playbook features generally available in Ironclad?
Precedent based redlining and Playbook Agent are described as early access. They should be distinguished from the current Contract Review Agent and its established Word workflow. ContractKen's playbook review and comprehensive review are part of its present offering. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Neither Ironclad nor ContractKen reviewed this comparison. ContractKen is operated by ContractKen, Inc. Early access features are identified separately from currently available workflow capabilities.