Chamelio vs Ironclad: how they compare in 2026

C
Chamelio profile
I
Ironclad profile
Last verifiedOctober 30, 2026
Verdict

Chamelio sells itself as the replacement for contract lifecycle management, and Ironclad is the kind of system it sets out to replace. So the choice usually turns on who else in the company touches contracts. Chamelio is built for the legal department alone. Negotiate reviews and redlines in Word against playbooks it can draw from a team's own precedent, and the Knowledge Center turns contracts and policies into a searchable store. Ironclad is built for every team that signs. Sales, procurement and finance launch agreements through no code workflows, and Ironclad Agent routes plain language requests to agents for intake, review, renewals and analytics. The terms pull in different directions. Chamelio settles training in its agreement, with a clause barring outside models from learning on customer data. Ironclad leaves training of its own models to an opt in setting. Its agreement spells out remedies with figures, including a liability cap that triples for data and confidentiality breaches. On AI output the two agree, since both agreements leave reliance on it with the customer.

Which one fits

Choose Chamelio if

  • Legal is the buyer and the work lives in Word. Negotiate reviews and redlines inside Word against playbooks Chamelio can generate from the team's own precedent. Each change arrives as a suggestion for a lawyer to work through.
  • You want the training position settled in the contract rather than in a settings screen. Chamelio's Terms of Service carry a clause headed No Third Party LLM Model Training, and its security documentation extends the promise to Chamelio's own models.
  • Your team will wire the platform into other systems itself. Each integration has a setup guide stating what moves and in which direction. A REST API with an OpenAPI specification and thirteen webhook events covers uploads, workflow approvals and signature envelopes.

Choose Ironclad if

  • Contracts start in sales, procurement and finance as well as legal. Ironclad's no code Workflow Designer, approvals, eSignature and Clickwrap serve every team that signs agreements, with integrations for Salesforce, Coupa, SAP and NetSuite.
  • You want remedies set out with figures. Ironclad's Enterprise Services Agreement caps liability at twelve months of fees and triples that for data and confidentiality breaches. A defect left unfixed for 30 days lets the customer terminate for a pro rata refund.
  • Your security review expects a stack of certificates. Ironclad holds SOC 1 and SOC 2 Type II reports and ISO 27001, 27701, 27017 and 27018. Customers in its EU datacenter keep Anthropic and OpenAI processing in the EU as well.

At a glance

Category
ChamelioContract Review & Drafting
IroncladContract Review & Drafting
Founded
ChamelioNot published
Ironclad2014
Headquarters
ChamelioNot published
IroncladSan Francisco, California, United States
Last verified
ChamelioSep 2, 2026
IroncladOct 14, 2026

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.

Chamelio
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

The AI powers the features Chamelio sells: redlining in Word, a playbook generator that draws standards from a team's own precedent, automatic metadata extraction, agentic workflows and an AI agent that answers from the department's documents. Without the models the product still works as a contract lifecycle management system, with a contract repository, a Vault, custom metadata columns, reminders, intake forms, task and matter tracking, approval routing, DocuSign orchestration and Insights dashboards. Chamelio sells itself as a CLM replacement and ships a CLM Migrator.

Ironclad
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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.

Chamelio
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

Models from leading providers are continuously evaluated and the top performers deployed automatically for specific tasks, Chamelio's documentation says, under a heading that claims this will guarantee the most accurate and reliable results. No benchmark, test set, accuracy figure or evaluation is published. The product page says every AI answer links back to the source document, which grounds answers in the customer's own material. No retrieval method is described. The published percentages, 89 percent less review time on the home page and a customer's 90 percent, measure time saved, not correctness.

Ironclad
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

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.

Chamelio
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

The API reference shows how review works. Tasks move through defined steps. An approval step lists eligible approvers and pending variables that can be retrieved, approval or rejection is submitted for each task, a running task can be canceled, and an activity log records comments, approvals and other actions. Redlines arrive in Word as suggestions for a lawyer to work through, not as applied changes. What is missing is the threshold. Chamelio describes agentic workflows running complex tasks of several steps, and a customer says the system handles a first pass and escalates only what needs legal review. Nothing says which steps run unattended, what triggers an escalation, or what happens when the system is wrong.

Ironclad
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

Chamelio
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

Five customers are named with the person and title: Noa Weyl, General Counsel at Bizzabo; Noa Rosenberg Segalovitz, General Counsel at Lightricks; Aviad Levin, General Counsel at Socure; Maayan Yaakobovich, Senior Legal Counsel at Radware; and Duncan McQueen, Assistant General Counsel at Integrity. Two figures are tied to a named customer: a 90 percent cut in legal review time at Integrity, and NDA turnaround falling from 24 hours to under an hour at Lightricks. None is dated, and no measurement basis is given.

Ironclad
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

Chamelio
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

Chamelio's Terms of Service carry a clause headed No Third Party LLM Model Training. It says Customer Data sent to third party large language models is not used to train them, and that Chamelio has opted out of every available training option for each one. The data license is limited to providing the service, and the documentation extends the no training commitment to Chamelio's own models. Each customer's data is processed in isolated environments, with role based access control, user groups, legal entities and SCIM provisioning. That separates customers from each other rather than walling off matters. Nothing addresses attorney client privilege or work product directly. Retention is stated only as keeping data as long as necessary to deliver the service, with no period.

Ironclad
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

Training of Ironclad's own models on customer data, input and output starts only after a customer enables AI Training Settings in the admin console, under the AI Addendum. 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.

Chamelio
CC on UPL and Professional Responsibility PostureA boilerplate disclaimer sits in the terms while the marketing describes the product in advice terms, or the intended audience is left ambiguous.

The only statement on the advice line is a liability clause. The Terms of Service say Chamelio has no responsibility or liability for the accuracy of Customer Data or for the customer's use of, or reliance on, Outputs. That disclaims reliance without saying what the product is or is not, and no page says that output is not legal advice. The marketing uses advice language: the home page carries a customer quote describing the platform as providing strategic insight like a seasoned attorney, and the feature list includes risk and decision support, liability ranking and legal research. The audience is clear, since Chamelio sells only to in house legal teams and has no consumer product. No bar or ethics guidance is cited.

Ironclad
CC on UPL and Professional Responsibility PostureA boilerplate disclaimer sits in the terms while the marketing describes the product in advice terms, or the intended audience is left ambiguous.

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.

Chamelio
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

There is no responsible AI page, governance framework, named owner or certification such as ISO 42001. What exists sits in the security documentation under AI Model Security: continuous benchmarking of models from leading providers, automatic deployment of the best performer for each task, controlled deployment and rollback through model versioning, output filtering and prompt injection safeguards. These are concrete mechanisms, but they are security and performance controls, not AI governance. Nothing is published about uneven output across matter types, counterparties or populations, and no test results are disclosed.

Ironclad
BB on AI Governance and Bias DisclosureA published governance framework with real substance, short of testing results or a named owner.

Every AI feature, Ironclad says, 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.

Chamelio
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

Encryption is TLS 1.3 in transit and AES-256 at rest, with key rotation. Access control covers least privilege, regular user access reviews, restricted production access, multi factor authentication for administrators, role based access control, session timeouts, and single sign on with SCIM provisioning documented for each identity provider. Chamelio publishes a six stage incident process, from detection through containment and forensic investigation to a review afterward, with a commitment to notify affected customers and a security contact address. Deletion works in the product: the API supports document deletion and fires a webhook when a document is permanently deleted. No subprocessor list is published. The documentation mentions AI subprocessors and vendor security evaluations without naming any, and the only retention period given is as long as necessary.

Ironclad
AA on AI Safety and Data StewardshipRetention, deletion, access control, subprocessors and incident practice are all published, current, and specific enough to hold the vendor to.

Storage of customer personal data is limited to what the services need under Ironclad's Data Processing Addendum, version 3.10 from 5 March 2026. 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.

Chamelio
BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.

Under Chamelio's Terms of Service, the company has no responsibility or liability for the accuracy of Customer Data or for the customer's use of, or reliance on, Outputs, which disclaims the main risk this product creates. Article 10 limits liability: the parties agree it forms an essential basis of the bargain, it applies to the maximum extent permitted, and it extends to affiliates, licensors and suppliers. Indemnification sits at Article 9 and Warranty Disclaimers at 8.3, and both survive termination. The Terms run from Articles 1 to 12. No cap figure, indemnity scope or warranty wording is stated in their readable text.

Ironclad
AA on AI Liability and RecourseWhat the vendor stands behind when its output is wrong is published and specific: indemnity scope, caps, carve outs, and any insurance or warranty a buyer can actually invoke.

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.

Chamelio
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

Every integration has its own setup guide in Chamelio's documentation, and each says what moves and in which direction. Salesforce: install the Chamelio AI package to generate contracts and sync legal data from Opportunities. DocuSign: signed contracts are captured into the repository automatically. Google Drive and SharePoint: documents come in through a native file picker. Slack: legal knowledge, answers and workflow triggers appear in channels. Word: an add in, with its own installation guide, brings review and redlining into the drafting window. Underneath is a REST API with an OpenAPI specification covering document upload, search, contract data retrieval, workflow initiation, task approval, signature envelopes and file download, plus thirteen webhook events for document and workflow changes. Setup is documented too, including single sign on through Entra ID by OIDC and SAML, Okta by OIDC, and SCIM provisioning from both. There is no iManage or NetDocuments integration, which matters less for a product sold only to in house departments rather than law firms.

Ironclad
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

Three routes connect Ironclad to other systems: 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.

Chamelio
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

Hosting spans AWS and Google Cloud Platform, using more than one cloud for redundancy, with virtual private cloud isolation, web application firewalls, DDoS protection and network segmentation, according to Chamelio's documentation. Residency is offered as options for storing data in specific locations, and cross border controls and jurisdiction compliance are mentioned. No region is named. No tenancy model is stated, whether multi tenant, single tenant or private, though each customer's data is processed in an isolated environment.

Ironclad
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

Hosting is on Google Cloud Platform, across 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.

Chamelio
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

Chamelio claims SOC 2 Type 2 on its security page and in its documentation, which lists the scope as all five trust services criteria: security, availability, processing integrity, confidentiality and privacy. It states that independent security firms run penetration tests. No auditor, coverage period or report date is published, no penetration test summary is offered, and no route to get the report is described. The security page links a trust center at trust.chamelio.ai.

Ironclad
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

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.

Chamelio
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

Chamelio's documentation describes the setup without naming providers. It says Chamelio uses the best model for each job rather than one model, benchmarks models from leading providers continuously, deploys the top performers automatically for specific tasks, and uses model versioning for controlled deployment and rollback. The Terms of Service define Third Party LLM, say a data processing agreement is in place with each one, and record that Chamelio has opted out of their training options. No provider is named. AWS and Google Cloud Platform are named as hosts, which says where the software runs, not whose models it uses. There is no commitment to tell customers when models change, and automatic deployment means they can change without notice.

Ironclad
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

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.

Chamelio
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

No pricing is published at any level, not even the unit of charge. Neither the site's navigation and footer (Product, Security, Learn, Company, Careers, Partnership and Contact) nor the documentation's full machine readable page index, which covers guides, integrations, API reference and webhooks, includes a pricing page. The only commercial route is Book a demo. The module names, Negotiate and Knowledge Center, are published, but no tier, seat or volume unit, term or figure appears.

Ironclad
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

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.

Chamelio
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

The intended buyer is stated plainly. The documentation header says the platform is exclusively for in house legal teams, a dedicated page answers who it is for, and the marketing says the same throughout. Named customers are in house teams at technology companies, including Bizzabo, Lightricks, Socure, Radware, Integrity and Atera. No practice areas are listed. The documents the platform handles are listed instead: contracts, templates, policies, compliance documents, corporate records and regulatory filings. No company size range, jurisdiction or geography is published, and nothing says which legal work the platform does not support.

Ironclad
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Enterprise and growing companies are Ironclad's buyers, 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?

Chamelio
Never, in the contract

The prohibition is in the agreement, under a clause headed No Third Party LLM Model Training, which adds that Chamelio has opted out of all available training options for each third party model it uses. The data license is separately limited to providing the service. The security documentation extends this to Chamelio's own models and those of its AI subprocessors, which goes further than the home page's promise that data is never used to train external or public AI models.

One exception: Chamelio may compile and disclose anonymous aggregated statistics, defined as Derived Data, which it owns along with any products built on it. The clause names statistics, not training.

Ironclad
Opt in

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?

Chamelio
Disclosed without a period

Chamelio's security documentation acknowledges retention under a privacy guarantees heading, with no period given for prompts, outputs or documents. Deletion is a product function rather than a published window: the API supports permanent document deletion and fires a core.document.deleted webhook when it happens, so a customer can remove material. No retention setting is exposed and no zero retention option is stated.

No deletion period at termination is stated, and the readable part of Article 11 of the Terms of Service is its survival clause.

Ironclad
Disclosed without a period

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?

Chamelio
Own model, documented

Chamelio runs its own permission model rather than inheriting one. Documents come from Google Drive and SharePoint through a native file picker into Chamelio's own repository, so the source system's access rules do not travel with them and are not enforced at query time. Instead Chamelio provides role based access control, user groups, legal entities, access settings for each document, and SCIM provisioning from Entra ID and Okta to keep groups in step with the identity provider.

Each customer's data is processed in isolated environments. Permissions have to be maintained in Chamelio and kept aligned with the source systems by hand.

Ironclad
Own model, documented

Role based permissions set by administrators are Ironclad's own, rather than inherited 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?

Chamelio
Not addressed

Nothing addresses disclosure to authorities or in response to legal process, or notice to the customer when a demand arrives. Two readable parts of the Terms of Service touch nearby ground and neither concerns third party requests: one confirms the customer owns all Customer Data and Outputs, and the other is an analytics and feedback provision.

Ironclad
Notice committed

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?

Chamelio
Not addressed

No source collection is named. The platform works mainly on the customer's own contracts, templates, policies and negotiation history, so the usual coverage question mostly does not arise. The exception is legal research, which Chamelio's home page lists among the AI Agent's capabilities, with no source, jurisdiction or license basis stated.

Ironclad
Sources named, basis unstated

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?

Chamelio
Not addressed

Nothing published addresses subsequent history, treatment flags or citator coverage. The platform works on the customer's own documents rather than primary law, and no citator function is claimed. The legal research capability named on the home page has no further documentation, and nothing says whether authority it surfaces is checked for currency.

Ironclad
Not addressed

Contracts sit at the center, 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?

Chamelio
Not addressed

Nothing describes what the platform does when it cannot ground an answer. No abstention path, declining behavior, or confidence or grounding score is documented. The security documentation goes the other way, claiming the model selection approach will guarantee the most accurate and reliable results. Output filtering and prompt injection protection are described, but those control what the system emits, not what it does when it does not know.

Ironclad
Not addressed

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?

Chamelio
None located

The AI Hallucination Cases database maintained by Damien Charlotin, and reporting based on it, records no court order, opinion or disciplinary record naming Chamelio or its corporate name, Innvo AI. Chamelio is sold to in house departments for contract work rather than to litigators for filings, so its exposure to such findings is lower than a research tool's.

Ironclad
None located

No entry for Ironclad appears 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?

Chamelio
Not addressed

No public material cites ABA Formal Opinion 512, a state bar opinion or any other named ethics guidance, and nothing addresses professional responsibility even in general terms.

Ironclad
Not addressed

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?

Chamelio
Savings claims only

Chamelio makes savings claims plainly and often: an 89 percent cut in review time on the home page, a customer's 90 percent cut in legal review time, and NDA turnaround falling from 24 hours to under an hour. Nothing addresses billing, fees or disclosure, and no record of AI assisted work per matter is described. Chamelio's buyer is the in house department, the client rather than the party that bills, so the time saved falls on outside counsel spend and internal capacity, not on an invoice the department issues.

Ironclad
Outside the fee relationship

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?

Chamelio
Not addressed

No subprocessor list is published and no model provider is named. Chamelio confirms these parties exist: its security documentation says customer data is not used to train the models of its AI subprocessors, and the Terms define Third Party LLM and record a data processing agreement with each one. None is named. AWS and Google Cloud Platform are named as hosts, which says where a model runs, not whose it is.

Ironclad
Subprocessors listed

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?

Chamelio
Not addressed

Nothing addresses judicial standing orders, disclosure of AI use or verification certification. The platform keeps an audit trail for each task: the API returns activity log history covering comments, approvals and other actions, and the security documentation says audit trails are kept for system access and changes. That records who did what to a task, not which model wrote which passage or what it retrieved. Chamelio is sold to in house departments for contract and knowledge work rather than court filings, so any disclosure duty would usually fall on outside counsel.

Ironclad
Partial record

Routing, assignment and approvals for each contract are recorded in Ironclad's workflows, 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.

What neither one publishes

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.

Signals neither addresses in public material
  • Good Law Verification
  • Refusal and Uncertainty Behavior
  • Bar Guidance Alignment
Change log

Product updates

The latest logged changes from each vendor, newest first, each linked to its source.

Ironclad

  • Product / capability

    Ironclad Assistant became Ironclad Agent on 8 Oct, a single entry point that routes requests to Intake, Contract Review, Archive, Renewals and Analytics agents grounded in a Contract Knowledge Graph of clauses, obligations and negotiated decisions.

    Source
  • Integration / interoperability

    Ironclad released an Ironclad Contracts plugin for ChatGPT.

    Source
All 2 Ironclad updates →

In summary

Chamelio

Chamelio is a legal intelligence platform sold only to in house legal departments, operated by Innvo AI Inc. Negotiate, a Microsoft Word add in, reviews and redlines contracts against playbooks it can generate from a team's own precedent. The Knowledge Center stores contracts, templates and policies with metadata extracted automatically, and agentic workflows chain intake, review, approval and signature. Chamelio pitches the platform as a replacement for contract lifecycle management systems and offers a CLM Migrator for the move. According to the AI Legal Index, Chamelio's Salesforce package generates contracts and syncs legal data from Opportunities, while signed DocuSign contracts land in the repository automatically. Its Terms of Service carry a clause headed No Third Party LLM Model Training. Customers named on its site include Lightricks, Socure and Radware.

Source: AI Legal Index, 2026

Ironclad

Ironclad is a contract lifecycle management platform for in house legal, procurement, sales, finance and IT teams, founded in San Francisco in 2014. It runs intake, drafting, no code workflows, approvals, negotiation, eSignature, the repository and analytics. Ironclad Agent is the front door, routing plain language requests to agents for intake, contract review, renewals and analytics over a knowledge graph of clauses, obligations and negotiated decisions. Contract Review Agent redlines against playbooks in Ironclad or Microsoft Word. The AI Legal Index notes that Ironclad checks policy based access on every agent request, so answers draw only on contracts the user can already open. The same limit holds in its connectors for Claude, ChatGPT and Slackbot. Models come from Google Gemini, OpenAI and Anthropic, and Ironclad reports more than 2,000 customers.

Source: AI Legal Index, 2026

Questions buyers ask

Chamelio vs Ironclad: which is better for an in house legal team?

It depends on who else uses the system. Chamelio is sold only to in house legal departments and centers on Negotiate, its Word add in, and the Knowledge Center, with agentic workflows for intake, review, approval and signature. Ironclad serves legal alongside procurement, sales, finance and IT, with no code workflows, its own eSignature and an agent layer across the whole contract process. A legal team buying for itself will find Chamelio shaped around its day. A team that wants one contracting system for the whole company is describing Ironclad. From the AI Legal Index, based on each vendor's own published materials as of October 30, 2026. No vendor pays for placement.

Can Chamelio replace Ironclad?

That is the pitch. Chamelio presents itself as a replacement for contract lifecycle management systems and offers a CLM Migrator to bring contracts and metadata across. Even without its models it runs as a contract system with a repository, intake forms and approval routing, and it orchestrates signing through DocuSign. The question is reach outside legal. Ironclad runs its own eSignature and Clickwrap, connects to Coupa, SAP and NetSuite, and lets sales and procurement launch contracts themselves. From the AI Legal Index, based on each vendor's own published materials as of October 30, 2026. No vendor pays for placement.

Does Chamelio or Ironclad train AI on our contracts?

Chamelio's answer sits in its contract. A clause headed No Third Party LLM Model Training says customer data sent to outside models is not used to train them, and its security documentation extends that to Chamelio's own models. It may still compile anonymous aggregated statistics, which it owns. Ironclad trains its own models only after an administrator turns on AI Training Settings, and the data is anonymized and aggregated first. Outside providers never train on it. The AI Legal Index found that Ironclad may use input and output to evaluate the service whether or not a customer opts in.

Which AI models run behind Chamelio and Ironclad?

Ironclad's agents draw on Google Gemini, OpenAI and Anthropic, and its subprocessor list names Anthropic, OpenAI and Extend for AI. A new subprocessor comes with 30 days' email notice and a right to object. Chamelio picks a model for each task from leading providers, benchmarks them continuously and uses versioning to roll a change back. Each outside model runs under a data processing agreement, and Chamelio has opted out of every training option they offer. From the AI Legal Index, based on each vendor's own published materials as of October 30, 2026. No vendor pays for placement.

How are Chamelio and Ironclad priced?

Chamelio sells through a demo request rather than a price list. Ironclad quotes the platform, then draws eligible agent work from a shared pool of AI Credits. Extra use costs $1 a unit unless an administrator sets a cap or buys prepaid capacity. Playbook creation in Ironclad runs through Professional Services. From the AI Legal Index, based on each vendor's own published materials as of October 30, 2026. No vendor pays for placement.

Disclosure

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.

Chamelio's Terms place indemnification at Article 9 and the liability limit at Article 10, but no cap figure, indemnity scope or warranty wording appears in their readable text. Chamelio states that its model selection guarantees the most accurate results, with no benchmark or test set behind the claim. Ironclad gives no accuracy figure for its redlines either, and neither product shows the user a confidence signal when the model is unsure. Both are built for in house teams rather than law firms. Ironclad is based in San Francisco. Neither vendor reviewed this page.

Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 21, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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