Ironclad vs Workday Contract Lifecycle Management: how they compare in 2026
Both platforms carry a substantial AI layer, Ironclad's Jurist agents on one side and the Evisort AI that Workday bought in 2024 on the other. Ironclad publishes its contract terms, and Workday's product pages lead to none. Ironclad's Enterprise Services Agreement caps liability at a year of fees, triples the cap for data breaches and indemnifies customer data leaks it causes. Its AI Addendum makes training opt in, set in the admin console, and its subprocessor list names Anthropic, OpenAI and Extend. Workday's product pages say nothing about training or retention. Workday publishes more assurance for the AI itself. It holds an accredited ISO 42001 certification and posts a NIST AI Risk Management Framework attestation on its compliance page, and a public SOC 3 report names the contract products. It also lists the roughly 30 terms its extraction looks for and links Ask AI answers to sources. Ironclad publishes a named customer result, while Workday's figures rest on unnamed customer stories.
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.
Intake, the no code Workflow Designer, approvals, routing, signature, the repository, analytics and integrations all predate generative AI and work without it. Ironclad sells that workflow layer as its foundation. The models drive central parts of the contract work on top of it. AI Playbooks, with each play tied to a clause, do the redlining. Jurist runs a named family of agents for drafting, editing, review, research, intake and redlining under a Manager Agent, with Conversational Search over the repository. The AI layer sits on an established product rather than one built on AI from the start.
Workday calls the platform AI native, and the Evisort product it grew from was built around AI. What Workday sells today is a full contract lifecycle platform, from intake and approval routing to signature and the repository. Those workflow and repository functions do not need generative AI and would still work without the models. The models drive OCR and AI ingestion, pretrained and custom extraction, AI redlining against a playbook and the Ask AI layer.
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.
Ironclad claims precise redlining, advanced AI, and proprietary legal AI models trained on legal terminology with prompts engineered for legal work. AI Playbooks tie each play to a clause. The system proposes varying degrees of revision to match preferred terms with minimal change, so its output follows a standard the customer wrote and a reviewer can check it against that standard. Ironclad publishes no accuracy figure, hallucination rate, test set or evaluation. It does not describe its retrieval method or how output links to a source a user can open. Its AI Addendum says AI output may be incorrect or inaccurate, and Ironclad does not warrant that output will be accurate, complete or error free.
Ask AI answers include links to the source documents, and extraction ties each term to the contract it came from. Workday says it improves prompt language for custom models so users need no prompt engineering skill. It also says applying multiple models to each task maximizes accuracy. It publishes no accuracy figure, hallucination rate, test set, evaluation method or independent benchmark.
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.
Human in the loop governance, Ironclad states, ensures every agent works transparently and is auditable and controllable. The vendor says plainly that the customer is in charge. Customers get governed and auditable AI review frameworks they can review, override and continuously govern across teams and contract types. The controls are administrative as well. Playbook permissions let administrators configure which users and groups may view, create and edit playbooks. A Manager Agent routes tasks across the agent family, so the orchestration is visible. The vendor says the agents automate repetitive lower risk work, while strategic negotiation and nuanced risk assessment stay with the lawyer. The AI Addendum makes the customer responsible for reviewing and validating output before using it, and says the AI products are not a substitute for human oversight. Ironclad does not publish the threshold at which an agent stops or escalates.
The platform includes agentic AI and automates routing and approval. AI redlining suggests targeted edits rather than applying them. Advanced administration offers custom roles and access settings, which govern who uses the product rather than what it decides alone. The product pages do not say what the agentic components run unaided, and they set no threshold at which a workflow stops or passes to a person. They describe no review step a lawyer must clear.
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.
According to Ironclad, Jurist gave legal operations at NEXT Insurance 50 percent of its time back. Customer quotes carry before and after numbers. In one, a first pass redline that took 30 minutes to a couple of hours becomes a solid first draft in minutes. In another, an MNDA review or custom order form clause drafting goes from an hour to a day down to minutes or seconds. Several of the quoted figures do not name the person speaking. Ironclad publishes a customer stories section, though no dated case study that states its method.
Workday's quantified claims for the product carry a footnote saying they rest on select customer stories and on average results from Workday Contract Intelligence. A named practitioner at Harbor Global gives an attributed endorsement. The product pages pair no named customer with figures and a date, and carry no case study with measured results. Four customer names from before the acquisition, among them Microsoft and McKesson, appear only in older Evisort material.
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.
Under its AI Addendum, Ironclad trains its own models on Customer Data, Input and Output only if the customer opts in through the AI Training Settings in the admin console. A later opt out stops new training from that date. Before any such use, Ironclad de identifies, anonymizes and aggregates the data, and it commits to measures so that output generated for other customers does not include that customer's data. The addendum separately lets Ironclad use Input and Output to evaluate the performance and accuracy of the service, whether or not the customer opts in. The external LLM providers, listed as AI subprocessors, are barred from training their own models on Customer Data, with zero data retention enabled where available. Section 5 of the Enterprise Services Agreement treats Customer Data as confidential information. Its SOC 2 certification covers the privacy trust category, and it holds ISO 27701 for privacy information management. The published terms do not address attorney client privilege or work product handling, and Ironclad does not document separation between customers, users or matters.
The product pages cite responsible AI safeguards backed by ISO 42001, 27001 and 27701. ISO 27701 is a privacy information management standard, and the pages give no other privacy position. Workday also offers access controls by role. The pages do not say how customers or matters are kept apart or how attorney client privilege and work product are treated. They also leave training and retention unaddressed. The repository is meant to hold every executed agreement across legal, HR, finance and M and A.
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.
Dedicated pages address legal operations and general counsel alongside procurement and IT. Ironclad describes the platform as serving business teams that touch contracts, with the AI proposing redlines and drafting negotiation ready revisions for those users, so the intended audience is broad by design. Section 2.3 of the AI Addendum states that Ironclad is not a legal advisor to the customer and that using the AI products creates no attorney client relationship. It tells the customer to consult its own counsel on legal, regulatory or compliance matters. A separate AI Disclaimer says AI output does not constitute legal or professional advice, and that a licensed professional should be consulted before anyone acts on it. Neither document addresses competence or supervision duties or sets jurisdiction limits. The human in the loop governance language describes how the system is controlled, which is a different thing from a professional responsibility position.
The datasheet says contract data should be open to teams across the business. It describes Ask AI as letting users across the enterprise ask questions and act with confidence on the answers, so people outside legal are meant to act on the analysis. The datasheet and product pages take no position on legal advice as against tooling, on competence or supervision duties, or on limits by jurisdiction.
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.
The governance model rests on governed and auditable AI review frameworks and human in the loop governance, which Ironclad says make every agent transparent, auditable and controllable. Customers can review, override and continuously govern agent behavior across teams and contract types. Administrators set permissions for who may view, create and edit the playbooks that drive AI behavior. The vendor presents these as working controls rather than a principles page. A chief technology officer is publicly named as owning the AI roadmap, and Ironclad's security portal lists an AI Security and Governance document available on request. Ironclad publishes no AI management certification such as ISO 42001 and no testing results before release. Its published material names no owner accountable for model governance apart from the technology function, and says nothing about uneven output across matter types, parties or populations.
The platform holds an accredited ISO/IEC 42001 certification, achieved as Evisort in October 2024 and carried forward under Workday, with Schellman as the certifying body. Workday's compliance page also carries a NIST AI Risk Management Framework attestation. That attestation covers the design, development, use and evaluation of AI products rather than the management system alone. Workday publishes no results of testing before release and names no owner for model governance. It discloses nothing on uneven output across matter types, parties or populations.
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.
Routine audits produce third party SOC 1 and SOC 2 Type II reports certified against security, availability, confidentiality and privacy. Ironclad also holds ISO 27001, 27701, 27017 and 27018, runs a dedicated GDPR program, and has Trusted Cloud Provider status as a Cloud Security Alliance member. Its Data Processing Addendum, version 3.10 effective 5 March 2026, says Ironclad keeps Customer Personal Data only as needed to perform the services. It destroys all copies within 90 days of termination, with a certificate of deletion on request. Section 6(b) commits to notice of a security incident within 48 hours. A subprocessor list at ironcladapp.com/subprocessors names Google Cloud Platform for hosting and Anthropic, OpenAI and Extend as AI providers. The addendum gives 30 days' email notice and an objection right before a new one is added. Ironclad's AI material says zero data retention is enforced at the external model layer, and the AI Addendum commits to enabling it where available. Its data centers run across multiple regions on public cloud providers that the vendor says are themselves certified under SOC 2, ISO 27001 and PCI DSS.
Workday describes its stewardship practice for the company as a whole rather than for the contract products. It screens subprocessors as a standing practice, encrypts database and transaction log backups, and uses TLS to protect network traffic against eavesdropping and tampering. Workday's cloud security and privacy certifications support these practices. Backups are retained for a period that Workday says varies by system, with no figure given. That material names no subprocessors and sets no retention period or deletion control for contracts, prompts and Ask AI outputs. It describes no breach notification practice.
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.
Version 2.2 of the Enterprise Services Agreement, effective 1 July 2026, is published in Ironclad's Legal Center. Section 9.b caps each party's liability at the fees paid in the twelve months before the event giving rise to it. Section 9.d raises the cap to three times that amount for Special Claims. These are breaches of the customer data, information security or confidentiality terms that lead to unauthorized disclosure and misuse of Customer Data, and amounts due under the Data Indemnity. Gross negligence, intentional misconduct and the IP Indemnity are uncapped under section 9.c, and section 9.a excludes consequential loss. Section 8.a gives a defense and indemnity against third party intellectual property claims and against claims arising from unauthorized disclosure of Customer Data caused by Ironclad's breach. Section 6.a warrants that the services materially conform to the agreement and order form and comply with applicable law. Ironclad has 30 days to fix a nonconformity, after which the customer may terminate for a pro rata refund. Exhibit A targets 99.7 percent uptime, with service credits of 1 to 3 percent of the annual fee as the sole remedy. Section 6.b leaves the customer solely responsible for results, including AI output, and neither the agreement nor the AI Addendum indemnifies AI output. The agreement contains no insurance commitment.
Workday's datasheet, its product overview pages in three regional editions and its newsroom are product marketing, and none of them says who bears the loss when output is wrong. They state no indemnity, liability cap, carve out, warranty on output or insurance position. None of them links to a customer agreement.
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.
Ironclad names Salesforce and Coupa specifically, and calls its Salesforce connector the number one Salesforce integration in the market. It has a dedicated integrations page and claims the deepest integrations in the market, treating integration as a primary differentiator. Teams create, manage and collaborate on contracts from inside the systems they already use rather than switching into the CLM. The integrations lean toward enterprise commercial systems rather than legal document management. Ironclad's published integrations include no legal document management connector such as iManage or NetDocuments. It does not document, per integration, what moves in which direction or what an administrator configures.
Signature runs through Docusign or Adobe Sign, revenue data through Salesforce, and storage through Box, SharePoint and shared drives. Drafting runs in Microsoft Word 365. Workday cites an API and productized integrations, with self service configuration and enterprise administration controls. The platform aims to sync across existing repositories rather than require migration into a new one. The named integrations include no legal document management connector such as iManage or NetDocuments. The product pages offer no integrations index and do not document, for each integration, what moves in which direction or what an administrator sets up.
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.
To meet data residency requirements, Ironclad says it uses multiple data center regions from its cloud providers. Its subprocessor list shows two CLM regions, the United States and an EU datacenter, both hosted on Google Cloud Platform, with Anthropic and OpenAI processing AI requests in the EU for EU hosted customers. Clickwrap runs on Amazon Web Services in the United States. Ironclad does not state a tenancy model or say what changes between plans.
Workday's security documentation describes the platform as a multitenant SaaS application in which multiple customers share one physical instance of the service. It also describes recovery point objectives. Workday names no hosting regions for this product and offers no residency choice for it. It does not say where processing happens as distinct from storage, or which regional infrastructure serves the contract products. Workday runs regional site editions, but none states a residency option.
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.
SOC 1 and SOC 2 Type II reports come from routine third party audits, and Ironclad names the trust categories certified as security, availability, confidentiality and privacy. Its security portal, run on SafeBase, lists SOC 1, SOC 2, ISO/IEC 27001 with its statement of applicability, 27017, 27018, 27701, CSA STAR, HIPAA, GDPR and CCPA. Reports, a penetration test report, a CAIQ and cyber insurance documentation are available there on request. Ironclad also holds Trusted Cloud Provider status from the Cloud Security Alliance, and says its underlying cloud providers are themselves SOC 2, ISO 27001 and PCI DSS certified. The portal shows no auditing firm, audit coverage period or report date.
A SOC 3 report for Workday Contract Intelligence and Contract Lifecycle Management is public. It gives an auditor's conclusion on this product without an agreement or access request. The TRUSTe Enterprise Privacy and Data Privacy Governance Practices Certification names the contract product in scope, with TRUSTe as third party verification agent under the Data Privacy Framework. That certification is benchmarked against five frameworks, among them the OECD Privacy Guidelines and GDPR. For Workday as a whole, ISO 27001, 27017 and 27018 certificates, SOC 1 and SOC 2 reports and an EU Cloud Code of Conduct adherence report are published. The SOC 2 covers any Workday system holding customer data. An independent third party audits it every year, and the report is open to customers and prospects. Workday does not name the auditing firm for the SOC reports.
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.
Two layers of models sit behind Ironclad's AI. One is proprietary legal AI models that Ironclad built, with prompts engineered for legal work. The other is external LLM providers, which its subprocessor list names as Anthropic and OpenAI, alongside Extend for AI processing and Google Cloud Platform for cloud and AI infrastructure. They run in the United States and, for EU hosted customers, in the EU. The Data Processing Addendum gives 30 days' email notice and an objection right before a new subprocessor is added. The AI Addendum bars AI subprocessors from training on Customer Data and commits to zero data retention with them where available. Ironclad does not say which model or version serves which feature.
Workday runs a proprietary large language model fine tuned for contracts. An orchestration layer applies multiple large language models to particular tasks, combining traditional, generative and agentic techniques. Workday owns one model layer and calls on others. Its product material does not identify those external models or their providers, or say where they run. It makes no commitment to tell customers when the supply chain changes.
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.
There is no pricing page on Ironclad's site, and it publishes no rate, unit of charge or tier structure. Every commercial path on the site ends in a demo request, and there is no free trial or self serve entry point. Its AI usage policy, version 1.1, bills overages on AI Credits at Ironclad's then current list price without publishing that price. Third party coverage describes implementation cost as depending on the scope of the CLM deployment rather than on a published rate.
Workday publishes no price, rate, unit of charge or tier structure for the contract products, and the product pages link to no pricing page. Every commercial path ends in a contact or demo request. Third party analysis describes pricing as quote based under Workday's enterprise model, with no public price list or free trial. It says contract volume, users, modules, integrations and any bundling with other Workday products drive the price. The same analysis says the product is now negotiated as part of the wider Workday platform rather than bought on its own, so it cannot be priced standalone.
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.
Four buyer personas have their own published positioning, namely legal operations, general counsel, procurement and IT. Ironclad also addresses business teams beyond legal that handle contracts. The stated target is enterprise and global business teams. At least one industry, manufacturing, has dedicated positioning around leakage and contract performance. The practice scope is contracting end to end, from intake to after signature, with no claim to litigation or research capability. Ironclad does not say which organization sizes or contract types the platform is not built for, and publishes no full list of industries or practice areas.
Workday names nine business functions as users, among them legal, procurement and finance, and the buyers are corporate teams. The product covers the contract lifecycle from intake to storage. Workday publishes its full extraction schema, roughly 30 standard terms from assignment and change of control to liability cap and termination for convenience. Custom models handle any other term. Workday states no organization size the platform is not built for and no industry focus. Beyond the ingestion layer recognizing contract languages, it gives no jurisdiction or language coverage.
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 1.1 of the AI Addendum, version 2.1 effective 20 April 2026, lets the customer enable AI Training Settings in the admin console. Only then may Ironclad use Customer Data, Input and Output to train and improve its own AI models and products. Section 1.2 requires that data to be de identified, anonymized and aggregated first, and output generated for other customers must not include it. Section 1.3 lets the customer opt out later, which stops new training but does not unwind training already under way.
Section 2.1 separately lets Ironclad use Input and Output to evaluate the performance and accuracy of the services, whether or not the customer opts in. Section 3.1 bars AI subprocessors, the external LLM providers, from training their own models on Customer Data. The vendor makes the case for opting in openly, and says the customer stays in control and the data stays confidential.
The product pages and datasheet do not say whether customer content may be used to train models. The ISO 42001 certification shows that an AI management system exists, not what its training position is.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Section 8(b) of the Data Processing Addendum, version 3.10 effective 5 March 2026, requires Ironclad to destroy all copies of Customer Personal Data, including archival copies, within 90 days of the agreement ending. On request it returns the data within 30 days and issues a certificate of deletion within 30 days. Section 7.c of the Enterprise Services Agreement gives a 28 day courtesy period after termination for exporting the repository.
During the term the addendum says Ironclad keeps the data only as needed to perform the services, and the AI Addendum sets no separate period for prompts and outputs. Ironclad says it enforces zero data retention with its external LLM providers, and the AI Addendum commits to enabling it where available. The product is a system of record built to hold every executed agreement for as long as the customer keeps it.
The platform is a system of record that syncs continuously with existing repositories. The product pages do not say how long contracts, prompts, Ask AI conversations or generated outputs are kept. They also do not say whether a customer controls the retention window or can delete material.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product keeps its own documented permission model rather than inheriting one from a document management system. Support documentation states that administrators can configure Ironclad users and groups to permit or restrict which users may view, create and edit AI Playbooks. The standards that drive AI behavior are therefore themselves access controlled. The workflow layer routes and assigns contracts across named reviewers.
Ironclad's published material does not describe segregation of the contract repository itself between users or matters, or any ethical wall concept. It names no legal document management integration whose permissions retrieval could inherit at query time. The buyer is an in house or business team rather than a firm carrying conflicts obligations, so the question applies differently than it would for a product sold to law firms.
The datasheet says advanced administration allows custom user roles and access controls for enterprise provisioning and security. It describes no roles or scoping rules and does not say how the controls are enforced. Nor does it say whether Ask AI and repository lookups respect those controls for each user at query time. The product is built to open contract data across business functions. No document management integration supplies permissions for it to inherit.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Section 3(i) of the Data Processing Addendum commits Ironclad to notify the customer promptly of any government or law enforcement request to access or seize Customer Personal Data, unless the law or a binding request prohibits it. Ironclad must also help the customer contest the request. Section 5.c of the Enterprise Services Agreement lets either party disclose confidential information, which includes Customer Data, under a court or government order.
Where the law permits, it must first give reasonable notice so the other party can contest the order. Ironclad publishes no transparency report.
The product pages carry no commitment to notify a customer of a government or law enforcement request for its data, and link to no transparency report. They also link to no customer agreement or data processing agreement, which is where such a clause would sit.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No primary law corpus sits behind the product. Retrieval runs against the customer's own contract repository and AI Playbooks. Ironclad describes its proprietary models as trained on legal terminology and contract management architecture, with prompts engineered for legal work. Where customers opt in, the models also train on anonymized and aggregated customer contracting data. That contributed data is the closest thing to a vendor corpus, and Ironclad states its source, which is customers contributing under consent. The site, the Ironclad AI page and the article library give no scale figure, license basis or update cadence for it.
The product holds no primary law collection. Retrieval runs against the customer's own contracts, synced from shared drives, cloud repositories and enterprise systems, so their provenance is the customer's. Third party material from before the acquisition described the proprietary contract model as trained on a collection of public contracts and legal documents. Workday's current material gives no scale, source or license basis for that training set.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
A contract lifecycle platform grounded in the customer's own playbooks and repository, Ironclad has no case law research surface, so a citator falls outside its design. Its site, product pages and support documentation do not address whether authority carries a treatment signal or whether subsequent history is reviewed. They name no commercial citator license.
The product works on the customer's own agreements and has no case law research feature. Workday describes no treatment signal or check of later history and names no citator license. Governing law is captured as an extracted term. That term identifies the law that applies to a contract, not whether any authority is still good law.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The Review Agent is documented as identifying missing clauses and compliance gaps. That flags what is absent from a contract, which is different from the system declining to answer. The site, the Ironclad AI and Jurist pages, the agent launch material and the support documentation do not describe what the product does when it cannot ground an answer. They show no explicit no answer path and no confidence signal for the user.
Workday says Ask AI returns clear, reasoned answers with source links. It does not describe what Ask AI does when the contracts do not support an answer, and the product shows the user no path to decline and no confidence signal. A text quality field among the extracted terms flags poor scans rather than low confidence in an answer.
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, maintained by Damien Charlotin, tracks court decisions worldwide involving AI generated hallucinated content and records the AI tool implicated where it is known. It records no court order, opinion or disciplinary record naming Ironclad. Published 2026 sanctions summaries and secondary sanctions trackers do not name it either. Ironclad is a contract lifecycle product with no case law research surface, so its output is very unlikely to reach a court filing as cited authority.
The AI Hallucination Cases database maintained by Damien Charlotin tracks court decisions worldwide involving hallucinated AI content and records the tool implicated where known. It records no court order, opinion or disciplinary record naming Workday's contract products or their Evisort predecessor. Published 2026 sanctions summaries and secondary trackers do not name them either.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Ironclad publishes substantial material on AI governance, auditability and human in the loop control, which covers how its own system is controlled. Its AI Addendum and AI Disclaimer say AI output is not legal advice and that a licensed professional should be consulted. Neither those documents nor its site, article library, persona pages and resources sections engage with any named ethics opinion or bar guidance, including ABA Formal Opinion 512 and state bar guidance. None of it addresses the professional responsibility obligations its legal buyers are bound by.
The product pages do not engage bar or ethics guidance, including ABA Formal Opinion 512 and state bar guidance. Workday frames its responsible AI material around its ISO 42001 certification. That certification governs Workday's own AI management system, not the professional duties of the lawyers among its users.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Ironclad's savings claims come with figures. A named customer, NEXT Insurance, recovered 50 percent of legal operations time. First pass redlines drop from up to a couple of hours to minutes, and MNDA review drops from up to a day to minutes or seconds. The vendor frames this as scaling review without adding headcount. Its site, product pages, article library and support documentation offer no per matter record of work done with AI for fee purposes, and no guidance on billing, fees or client disclosure.
The buyer is an in house or business team that does not bill a client by the hour, so fee disclosure applies differently here.
Workday claims dramatically faster contract turnaround at lower cost, with quantified results footnoted to select customer stories. The buyers are in house and business teams that do not bill clients by the hour, so the savings are enterprise cost rather than billable time. The product pages describe no per matter record of AI assisted work for fee purposes and give no guidance on billing or client disclosure.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Ironclad's subprocessor list at ironcladapp.com/subprocessors names Anthropic, OpenAI and Extend as AI providers and Google Cloud Platform for cloud and AI infrastructure, by region, for the United States and the EU datacenter. The Data Processing Addendum and AI Addendum are published in its Legal Center and can be read without an agreement in place. The addendum gives 30 days' email notice and an objection right before a new subprocessor is added.
Certification material covers SOC 1 and SOC 2 Type II with the trust categories named, ISO 27001, 27701, 27017 and 27018, a GDPR program and Cloud Security Alliance Trusted Cloud Provider status. Ironclad publishes no consent or notification pack written for a client's outside counsel guidelines.
Workday publishes its ISO certifications, including the accredited AI certification with Schellman as the certifying body. The product pages carry no subprocessor list, no statement of which model providers see customer content, no data processing agreement and no client consent and notification pack.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The workflow layer records routing, assignment and approvals for each contract. Ironclad publishes governed and auditable AI review frameworks with human review. It says customers get transparent, auditable AI behavior they can review, override and continuously govern across teams and contract types. Ironclad describes no export per document covering the model used, sources retrieved and human verification. Its subprocessor list names the AI providers, Anthropic, OpenAI and Extend, but nothing shows which model produced a given output.
Ironclad is a contracting platform rather than a litigation product, so a court order on AI disclosure is unlikely to reach its output.
Ask AI answers link to their sources, extraction ties each term back to its agreement, and workflow automation logs routing and approvals for each contract. Together they let a reader trace what was relied on. No export per document brings together the model used, the sources retrieved and human verification. Several unnamed models work on each task, so the product could not state the model used in any case.
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.
- Commercial Transparency
- Primary Law Corpus Provenance
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Which one fits
Choose Ironclad if
- You want the contract terms before you buy. Ironclad publishes its Enterprise Services Agreement, Data Processing Addendum and AI Addendum. They cap liability at a year of fees, set deletion within 90 days of termination and make model training opt in.
- You want human review built into the agents. Ironclad says its agents run under human in the loop governance that customers can review and override. Administrators control who may view, create and edit the playbooks that drive the AI.
- You want a named customer result and depth in Salesforce. NEXT Insurance is published as getting 50 percent of its legal operations time back. Ironclad calls its Salesforce integration the number one in the market.
Choose Workday Contract Lifecycle Management if
- Your auditors want the AI certified. Workday holds an accredited ISO 42001 certification for its AI management system. A NIST AI Risk Management Framework attestation on its compliance page covers how its AI is designed, built, used and evaluated.
- You want audit evidence you can read before buying. A SOC 3 report naming the contract products is public. Workday's SOC 2 report is open to prospects as well as customers.
- You need to know what extraction finds. Workday publishes its pretrained list of roughly 30 standard contract terms and supports custom extraction for anything else. Ask AI answers link to the source documents.
In summary
Ironclad
Ironclad is a contract lifecycle platform for enterprise legal, procurement and sales teams, covering intake, drafting, no code workflow, approvals, signature and a repository. It calls its Salesforce integration the number one in the market and names Coupa alongside it. Jurist, its agent layer, directs drafting, review, research and redlining, and AI Playbooks tie each redline to a clause. According to the AI Legal Index, Ironclad publishes its contract terms and is specific about data and certification. Customer data trains its own models only where the customer opts in under its AI Addendum, and its subprocessor list names Anthropic, OpenAI and Extend. Its SOC reports are named with their trust categories, and four ISO standards are listed. No price is published.
Workday Contract Lifecycle Management
Workday Contract Lifecycle Management and Workday Contract Intelligence make up Workday's enterprise contract platform, built on Evisort AI after the 2024 acquisition. It covers intake, drafting, AI redlining against a playbook, negotiation, approvals, signature and one repository, and its ingestion reads poor scans and handwriting. The AI Legal Index records outside assurance for the AI. Workday holds an accredited ISO 42001 certification, posts a NIST AI Risk Management Framework attestation on its compliance page, and a public SOC 3 report names the contract products. Pretrained extraction covers roughly 30 published standard terms, and Ask AI answers link to their sources. Its product pages say nothing on training, retention or liability.
Questions buyers ask
Ironclad vs Workday CLM: which is better for enterprise contract management?
For published contract terms, a contractual training opt in, agents it describes as governed and Salesforce depth, Ironclad publishes more. For certified AI governance, public audit evidence and a published extraction list, Workday does, and third party analysis says it is usually negotiated as part of the wider Workday platform. Neither publishes a price. From the AI Legal Index, based on each vendor's own published materials as of October 8, 2026. No vendor pays for placement.
Do Ironclad and Workday CLM train AI on customer contracts?
Ironclad's AI Addendum lets it train its own models only on data from customers who opt in, anonymized and aggregated first, and bars its AI subprocessors from training. Workday's product pages do not address training either way. Its ISO 42001 certification shows that an AI management system exists, not what it permits. From the AI Legal Index, based on each vendor's own published materials as of October 8, 2026. No vendor pays for placement.
Is Workday CLM the same as Evisort?
In substance, yes. Workday acquired Evisort in 2024 and sells the technology only under the Workday name, as Workday Contract Lifecycle Management and Workday Contract Intelligence. Ironclad, founded in 2014 and based in San Francisco, sells its platform under its own name. From the AI Legal Index, based on each vendor's own published materials as of October 8, 2026. No vendor pays for placement.
Which AI models do Ironclad and Workday CLM use?
Ironclad's subprocessor list names Anthropic, OpenAI and Extend as AI providers, alongside its own legal models, with zero data retention where available. Workday runs its own large language model, fine tuned for contracts, and an orchestration layer that applies several other unnamed models to each task. Neither names a model version. From the AI Legal Index, based on each vendor's own published materials as of October 8, 2026. No vendor pays for placement.
What do Ironclad and Workday CLM both leave unpublished?
Neither publishes an accuracy or hallucination rate, or anything on attorney client privilege. Neither engages with bar guidance such as ABA Formal Opinion 512, though both open contract analysis to business teams beyond legal. From the AI Legal Index, based on each vendor's own published materials as of October 8, 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.
Workday's product pages do not lead to a customer agreement or data processing agreement, so its liability, retention and data handling terms are not public. Workday's stewardship material is published for Workday as a whole rather than for this product alone. Ironclad's AI Addendum lets it use prompts and outputs to evaluate its service even without an opt in to training. Neither vendor reviewed this page.