Ironclad vs Leegality: how they compare in 2026
Ironclad is the better fit when a legal department wants a broad contract platform that uses commercial history, repository knowledge and specialized agents throughout its work. Leegality addresses a more specific Indian paperwork journey, joining rules supplied by the legal team to approval, stamping, signing and obligation reminders. Both include AI review, but the operating contexts differ. In its product assessment, AI Legal Index identifies Ironclad Agent's use of contract and negotiation history as a distinct reason to evaluate it for a mature contract operation. Leegality's strength is the proximity of the review step to domestic execution methods and an explicit India processing commitment. A team with simple approval requirements but substantial Indian signing volume may value that fit more than additional agents. A team pursuing reusable portfolio knowledge and broader workflow design has stronger reasons to investigate Ironclad.
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, 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.
Leegality's original business is document execution, including Aadhaar signatures, stamp paper procurement, approval routing and delivery of completed agreements. Those services retain their purpose without generative models. AI Review adds clause analysis against rules defined by the legal or compliance team, explanations of deviations and suggested replacement language. Obligations AI extracts commitments and assigns their owners, while Smart Extraction fills repository metadata from uploaded agreements. These are identifiable applications of AI to legal work rather than a relabeling of signature automation. They remain features within a broader paperwork platform whose commercial offering also includes document fraud prevention and electronic bank guarantees.
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's extraction uses two passes to connect values to source text. The model returns each value with a description of where it sits in the contract. A second pass ties that value to the exact OCR tokens, so the interface highlights the passage with its page and position. If the model returns no match, the system tries the raw text and then the normalized value before giving up on a location. Contract Review Agent bases redlines on the customer's playbooks and templates, with precedent based redlining in early access, and redlines can show their rationale. Answers through the MCP connectors link back to the contract in Ironclad. No accuracy figure, error rate or test set is available, and the AI Addendum says output may be incorrect or inaccurate.
The AI review interface ties a finding to a customer rule and the relevant contract clause. Its example distinguishes requirements that are met, not met or not found, and displays the current clause beside a suggested replacement. That gives a reviewer useful context for deciding whether a contractual requirement has been satisfied. It does not establish legal correctness beyond the supplied rules. No measured error rate, benchmark dataset or independent validation method accompanies the clause review feature. Nor is there a described legal authority retrieval system that supplies primary cases or statutes and verifies their current status before a proposed revision is used.
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.
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.
Legal and compliance teams define the rules that constrain AI Review, then inspect deviations and the reasons attached to them. The contract interface gives users separate actions to replace a clause or dismiss its proposed replacement. Leegality Reviewer adds a configurable approval gate: the sender assigns internal or external reviewers, who can approve or reject the agreement before it proceeds to the signer. Obligations AI separately uses configured obligation types, owners and email reminders. These controls distinguish automated extraction from human contract approval. Their protection depends on configuring the reviewer step; AI analysis alone does not turn a proposed contract into an approved agreement.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Named 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.
Rupifi's in house counsel Satyanshu Mishra describes using Leegality's contract management product and its configuration options, with the vendor's support helping the team adopt the platform. That is a named legal user discussing the product rather than an unexplained customer logo. The broader execution business also reports IIFL Samasta increasing daily loans per branch from roughly 30 to 35 to roughly 40 to 45 after digitizing paperwork. Those operational figures concern the signing process, not the accuracy or speed of AI clause review. The contract testimonial has no dated baseline, review sample or measurement isolating the contribution of the models.
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.
Ironclad's AI Addendum lets it train its own models on customer data, input and output only after a customer enables AI Training Settings in the admin console. An opt out stops new training from that date. That data is first de identified, anonymized and aggregated, and output for other customers may not contain it. Whether or not a customer opts in, Ironclad may use input and output to evaluate the performance and accuracy of the service. External model providers may not train on customer data and run under zero data retention where available. The Enterprise Services Agreement treats customer data as confidential information, and SOC 2 covers the privacy category. The terms say nothing about attorney client privilege or work product, and access follows roles without specified matter boundaries.
Contract data is covered by an express product commitment against use in training any AI model. Leegality also states that AI review and obligation extraction read the agreement without retaining another copy, while the repository continues to hold the underlying contract. Its privacy notice describes encryption, approved access on a need to know basis and processing of signer data on customer instructions. These protections give corporate legal teams a concrete confidentiality position. They do not explain privilege preservation, separate law firm matters or the identity and contractual duties of the models underneath. Role restrictions on document execution are narrower than a documented ethical wall for AI answers.
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.
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.
Leegality identifies itself as a software business rather than a law firm and addresses business, product, operations and legal teams. Its terms place responsibility for appropriate stamp duty, document enforceability and retention requirements on the customer. The service is framed around Indian law, and customers outside India are responsible for assessing local suitability. This gives a clear boundary around the provider's role in document execution. The AI feature nevertheless describes clause replacements as compliant with the customer's rules without a corresponding account of professional competence duties. No bar specific supervision framework explains how a lawyer should validate those suggestions before advising a client.
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.
Ironclad says every AI feature passes through its Evaluation Framework, which measures accuracy, consistency and reliability against curated benchmarks and real contract data. Subject matter experts validate model output during development and after release, with feedback loops meant to catch bias early, and training data is chosen to cover varied contract types and jurisdictions. Dimitry Dukhovny, the chief information security officer, leads security, compliance and AI governance. Customers can review, override and keep governing agent behavior across teams and contract types. Evaluation results and performance differences by contract type, jurisdiction or party are not available.
Customer rule sets define what AI Review looks for in an agreement, but those rules are an application control rather than an account of how Leegality governs its models. There is no named AI governance owner, release testing program, bias assessment or report of differences in performance across languages and contract types. The platform's Indian language signing options and identity verification features do not answer those questions for clause interpretation. Information security certifications address a different set of controls. A legal team therefore receives a configurable review workflow without a published mechanism for assessing systematic model errors or the vendor's response when those errors recur.
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.
Ironclad's Data Processing Addendum, version 3.10 from 5 March 2026, limits storage of customer personal data to what the services need. It destroys all copies, archives included, within 90 days of the agreement ending, returns data within 30 days on request and issues a deletion certificate within 30 days. A security incident is reported to the customer within 48 hours of Ironclad becoming aware of it. The subprocessor list names each provider, its activity and its location for the United States platform, the EU datacenter and Clickwrap. A new subprocessor comes with 30 days' email notice and a right to object. External model providers run under zero data retention and may not train on customer data. Data is encrypted with TLS 1.2 or higher in transit and AES 256 at rest, with per tenant keys and bring or hold your own key options, and access follows administrator set roles.
The privacy notice separates account data from document and signer information processed on customer instructions. It describes encryption during transfer and storage, access approval, monitoring and audits. Uploaded agreements remain for a period determined by customer settings or legal requirements, and the pricing feature list includes automatic purging of signed files. Several service providers and their purposes are named, including the hosting company, signature authorities and electronic stamping services. The AI product adds a commitment not to retain another document copy during processing. Missing pieces include named model subprocessors, a complete prompt and output retention schedule and a customer incident notification timetable.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The 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.
Leegality's standard terms disclaim responsibility for the contents and enforceability of agreements and do not warrant that service results will be accurate or reliable. The liability formula is the greater of INR 100 or fees associated with executing a document, excluding specified expenses and charges, subject to an aggregate ceiling of INR 10,000 per user. Consequential and other indirect losses are excluded. The indemnity runs from the user to Leegality, with no corresponding published protection for an erroneous AI revision. A separately signed agreement takes precedence, so enterprise buyers may have different provisions; the public terms themselves offer little recourse for faulty legal output.
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 offers native integrations, iPaaS connections to more than 8,000 applications, and an API, with Tray, Zapier and MuleSoft in its directory. The directory names Salesforce, which is AppExchange approved, Coupa, SAP, NetSuite, Zip and Ramp, Microsoft Word and Teams, Slack, DocuSign and Adobe Acrobat Sign, and Box, Google Drive, OneDrive, Dropbox and Egnyte. MCP connectors answer questions about contracts and workflow status in Claude, ChatGPT and Slackbot, scoped to the user's permissions and linked back to Ironclad. No iManage or NetDocuments connector is identified, and the directory does not specify individual field mappings or sync directions.
The Word extension has an explicit setup path through the Microsoft marketplace followed by a Leegality login. Users see assigned tasks in the sidebar, run rule based AI review and share agreements with counterparties from the editor. Guests can review online or download, edit and upload their version without creating an account. Outside Word, APIs connect document journeys to a customer's CRM, loan systems or HR software; webhooks return signed documents to customer servers. These are described transfers and actions, not just integration logos. Permission mapping, version conflict handling and a complete implementation account for each connected business system remain unspecified.
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.
Ironclad runs as a cloud service on Google Cloud Platform, in multiple zones in the United States, with a separate EU datacenter. For EU hosted customers the subprocessor list places Anthropic and OpenAI, along with Elastic Cloud, Datadog and the product database, in the EU, so AI processing stays in that region too. Clickwrap runs separately on Amazon Web Services in the United States. Customers can bring or hold their own encryption keys. Ironclad does not describe a tenancy model or what changes between plans.
Leegality operates a hosted platform accessed through its dashboard, Word extension or APIs. Both storage and processing of contract data are expressly restricted to servers in India, including AI review and obligation extraction. The privacy notice identifies Amazon Internet Services Private Limited as the hosting provider and likewise places personal data processing in India. There is no advertised alternative region for a customer to select, nor a published private installation offering. The geographic commitment therefore covers the available service rather than a menu of deployment tiers. It does not identify the individual model service or give a detailed account of backup locations within the country.
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.
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.
The privacy notice names ISO 27001:2022, ISO 27017:2015 and ISO 27018:2019, alongside a SOC 2 Type II attestation covering security, availability and confidentiality. It describes recurring independent audits and separately refers to CERT IN empaneled auditors for Aadhaar and signature requirements. Leegality also provides a trust center entry point and offers its SOC report and auditor details on request. The public statements do not supply the attestation period, named auditor or an inspectable report establishing the full product scope. The standards are more specific than generic security badges, but their existence does not by itself validate the quality of AI contract interpretation.
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.
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.
Neither the AI Review explainer nor the contract product description identifies the model family or inference provider used for clause analysis and obligation extraction. The privacy notice names the infrastructure host and several execution providers, but it does not distinguish an AI model service from general hosting. A commitment to processing in India and avoiding training on contracts addresses location and use of data, not the identity of the model supplier. There is also no published model change notification procedure. Customers can understand the review workflow while still lacking the information needed to assess a particular foundation model or its replacement.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
The 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.
Basic execution has explicit transaction prices: INR 25 for each Aadhaar signatory and INR 15 for each non Aadhaar signatory. Digital stamping costs INR 45 per paper plus stamp duty and INR 500 per order, with a minimum of 30 papers; signing requires at least INR 100 of credits. The Basic account includes one user and one workflow. Advanced business features require a quote, and the advertised INR 300,000 annual budget dividing line is not an AI subscription price. A first flow can be configured and tested free, but implementation charges beyond that and the cost or allowance for AI Review are not published.
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.
Ironclad sells to enterprise and growing companies, with dedicated pages for general counsel, legal operations, procurement, sales and IT. It describes the platform as handling every contract type, from legal and sales to finance, HR, marketing and procurement, from intake through renewal. Named customers include Mastercard, L'Oreal, Cisco, Docker, Gusto and Rippling. The platform centers on contracting, while Contract Review Agent also supports legal questions with embedded citations. Ironclad does not say which organization sizes or contract types it does not serve.
Leegality focuses on Indian business paperwork, with named uses in banking, lending, microfinance, stockbroking, insurance, human resources and procurement. Contract examples include vendor agreements, master services agreements, nondisclosure agreements, employment letters and loan documentation. Legal teams can define their own compliance rules while business colleagues initiate work, approve it or sign. The terms and privacy notice explicitly center Indian law and leave overseas suitability to the customer. This is a clearer audience than a claim to serve every practice. It is not a published coverage map for litigation, specialist legal research or the full range of legal issues a generated clause might raise.
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 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.
Leegality promises that contract data used for AI review or obligation extraction is never used to train any AI model. That promise appears in its contract product explanation, rather than an express model training restriction in the standard terms. The incorporated privacy notice limits signer processing to customer instructions and permits analytics on usage information. It does not clearly grant a separate right to train on agreement content. The policy commitment consequently remains distinct from a negotiated contractual prohibition.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
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.
Customers can control how long uploaded agreements are stored, subject to legal requirements, and automatic purging of signed files is an available feature. The AI workflow separately promises not to retain a copy of the contract it reads. Those statements do not establish zero retention for the whole account or every generated clause and processing log. The default schedule, backup removal period and exact treatment of prompts and outputs are not specified for the AI service.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Ironclad keeps its own role based permissions, set by administrators, rather than inheriting them from a document system. Agents and MCP answers respect the same permissions, so a user sees only the contracts already open to them. Nothing describes walls between matters, since the product is built for in house teams rather than firms.
Execution roles restrict which team members can authorize documents, and the privacy notice describes access approvals based on need to know. Reviewers and approvers can also be assigned to a particular contract. These controls support differentiated access in a corporate workflow. They do not explain whether repository permissions are reapplied to every AI request, how separate clients are isolated, or how a lawyer excluded from one matter is prevented from receiving its content in an answer.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
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.
The privacy notice allows disclosure when courts or other competent authorities legally require it. It supplies no corresponding promise to notify the affected customer before complying, contest an overbroad request or provide a recurring transparency report. General notices about privacy policy changes address a different event. The standard service terms also permit freezing transactions for regulatory obligations without prior intimation, so that provision does not supply an advance warning commitment for compelled access either.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
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.
The defined inputs are customer contracts and compliance rules configured by the legal team. Leegality does not identify a legal research collection, enumerate its authority sources or explain licenses for statutes, judgments or commentary used by the underlying model. Its separate guides to Indian electronic signatures are educational resources, not a declared retrieval corpus for AI Review. A clause suggestion can follow the customer's rule without establishing the provenance of any additional legal knowledge used to generate it.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Ironclad centers on contracts, while Contract Review Agent can also answer legal questions with embedded citations. No citator, treatment signal or check of later history is described.
A contract can be tested against a rule about governing law or another requirement, but no citator or judicial treatment service is identified. The interface's met, not met and not found labels describe compliance with the supplied checklist. They do not certify that a case remains good law or that a statutory requirement has not changed. Changes in law therefore need to be reflected in the team's rules and separately validated before a review result is treated as current legal advice.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
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.
The review example labels a missing contractual requirement as not found and lets a reviewer dismiss suggested wording. That is useful handling of absent clauses, but it is not a model refusal policy. There is no described behavior for conflicting instructions, inadequate legal support, an unsupported jurisdiction or uncertain interpretation. Nor is a confidence measure accompanied by an escalation procedure for those circumstances. Human approval provides a workflow checkpoint while the model's response to insufficient knowledge remains unspecified.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Ironclad has no entry in the AI Hallucination Cases database, Damien Charlotin's record of court decisions involving hallucinated AI content. Ironclad is a contracting platform, and its output is seldom filed with a court as cited authority.
The October 16, 2026 review of the Charlotin database found no entry naming Leegality in either the AI tool field or the remaining case information. The product's main legal output is contractual language and rule analysis, rather than a court submission built from cited authorities. That use profile may affect how an incident would appear in a litigation database. Absence of a named case is not a measured accuracy result and does not establish that fabricated legal assertions cannot occur.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
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.
The company explains Indian signature and documentation requirements and makes its software role distinct from a law firm. It does not connect AI Review's controls to a named bar opinion or a jurisdiction specific framework for lawyers' competence, confidentiality and supervision obligations. Banking and data protection compliance materials address separate regulatory duties. Configurable review approvals can assist a legal team's process, but the vendor does not map those features to professional conduct guidance for use of generative AI.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
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.
The published commercial relationship is a business purchasing document execution and contract operations services. Pricing is based on signatures, stamp papers and quoted business features, rather than recording a lawyer's time or allocating an AI expense to a legal client. Leegality identifies business, product and operations teams as its usual buyers alongside legal teams. Its claimed paperwork savings concern corporate operating costs. No client billing ledger, disclosure template or law firm fee allocation workflow is described.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
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.
The privacy notice names Amazon Internet Services, signature providers including CDSL and Protean, SHCIL, NeSL and WhatsApp Business, with their processing purposes. Some other categories remain generic, including SMS, payment and email providers. That supplies part of a procurement disclosure package but omits the model provider for AI clause review. Leegality also offers an information security questionnaire and audit rights through its enterprise arrangements. No prepared outside counsel AI disclosure package or complete legal client approval form is published.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Ironclad's workflows record routing, assignment and approvals for each contract, and AI review is described as auditable, with humans able to review and override it. Extracted values highlight their source passage and redlines can show their rationale. No export records which model produced an output or who verified it. Ironclad's output is contract work rather than court filings.
Executed agreements receive a secure audit trail recording the signing journey, and the contract interface preserves reviewers, remarks and recent activity. Those records may help explain who approved or signed an agreement. They do not amount to an export showing which model generated a clause, the prompt used or how counsel verified the output. Leegality promotes the signing record for court use, but no separate AI use declaration or complete model provenance export is described for a filing.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Which one fits
Choose Ironclad if
- Your legal team needs contract and negotiation history to inform repeated commercial work.
- You want specialized AI assistance spanning intake, review, renewals and portfolio analysis.
- Your contract operation requires broader workflow design and repository connections across business tools.
Choose Leegality if
- The immediate problem is combining Indian stamp procurement and signing with contract approval.
- Your legal team can express its review requirements as rules and wants suggested clause replacements.
- Contract data must stay in India for both storage and AI processing under the vendor's stated service.
In summary
Ironclad
Ironclad combines contract workflows and a repository with Ironclad Agent and specialized assistance for review, intake, renewals and analysis. Its review product works against playbooks in the platform or Word, while repository connections can bring contract answers into other tools.
Leegality
Leegality applies a legal team's rules to contract clauses, proposes revised wording and routes agreements through configured reviewers. Indian stamping and signature services complete the journey. Extracted obligations and renewal reminders then support the signed contract.
Questions buyers ask
Do both products let users review in Word?
Yes. Ironclad offers contract review in Word as well as its platform, and Leegality's extension supports tasks, rule based review and counterparty sharing. The wider repository and execution processes remain different. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Is every Ironclad redlining feature generally available?
No. The current record distinguishes standard playbook review from precedent based redlining available in early access. A purchase scope needs to identify which functions are available to that customer. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
What is the key Leegality oversight control?
Within Leegality's configured contract approval workflow, AI Legal Index identifies an assigned reviewer who can approve or reject an agreement before signing. AI findings and suggested wording are inspectable, and the reviewer gate depends on the customer's configuration.
Can Leegality's execution rates estimate Ironclad's cost?
No. Per signatory and stamp charges cover a different commercial unit from an enterprise contract platform. A useful comparison needs the same contract volumes, review needs, integrations and execution requirements in both proposals. From the AI Legal Index, based on each vendor's own published materials as of October 16, 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.
The products share contract review functions but serve different implementation priorities. Early access features and execution transaction prices are identified separately from a complete CLM purchase.