Agiloft vs Malbek: how they compare in 2026

A
Agiloft profile
M
Malbek profile
Last verifiedSeptember 25, 2026

Agiloft and Malbek are both enterprise contract lifecycle platforms that run creation, approval, signature and the repository, with AI sold as named modules on top. Agiloft sits in the top two bands on thirteen of fifteen axes and Malbek on ten of fifteen, identical on nine. The gap is Agiloft's agreement, which is published and was read in full. It bars training on customer data without written consent, deletes data within thirty days of termination, commits to notice before a compelled disclosure, names Microsoft Azure OpenAI as its AI subprocessor, and offers a single tenant environment by order. It also indemnifies the customer for intellectual property claims and for unauthorized disclosure of its data, with the liability cap tripled for security breaches. Malbek's terms load through a clickwrap module the index could not read, so nothing on liability or retention could be established for it. Malbek's counterweight is its reach into the business: more than 50 integrations including a native two way Salesforce connector, named customers with named quotes, a 2025 Gartner Leader placement, and SOC 2 Type II and SOC 1 Type II in its own name.

At a glance

Category
AgiloftContract Review & Drafting
MalbekContract Review & Drafting
Founded
AgiloftNot published
MalbekNot published
Headquarters
AgiloftRedwood City, California, United States
MalbekNot published
Last verified
AgiloftSep 6, 2026
MalbekSep 4, 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.

Agiloft
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 models are the engine of a core capability layered on a product that would still function without them. AI Trainer, ConvoAI Document Q&A, the GenAI Prompt Lab, generative redlining and Screens are sold as AI Applications on top of a contract lifecycle management platform whose workflows, repository, approvals and integrations predate them; the Services Agreement defines AI Applications as functionality made available as part of the subscription and specified in the order, and the Supplemental Terms govern them as an add-on class. Remove the models and the CLM stands. Home page, news releases, Services Agreement and Supplemental Terms read 6 September 2026.

Malbek
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 models are the engine of a core capability layered on a product that stands without them. Malbek's own framing is an AI-charged CLM: the platform underneath is contract creation, workflow, approvals, repository, milestones and clickwrap, and the AI arrives as separately named and separately sold modules, Malbek AI for insights and recommendations and BusinessIQ for portfolio-level commercial intelligence. The pricing page confirms the separation by making modules one of the four variables a quote is built from. Remove the models and a functioning contract lifecycle management system remains, which is the distinction this band draws. Checked 4 September 2026.

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.

Agiloft
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.

Grounding is real and documented with links to source, short of a testable accuracy figure. ConvoAI Document Q&A ties each answer to the passage in the contract that supports it and lets the user jump to the highlighted text, which the vendor calls white-box AI; Services Agreement section 9.3(c) states that AI features exhibit varying degrees of accuracy and the Supplemental Terms require the customer to check output independently. No test set, benchmark or evaluation is published. The primary-authority limbs do not apply to a tool that reads the customer's own contracts. February 2025 release, Services Agreement and Supplemental Terms read 6 September 2026.

Malbek
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.

Grounding is described architecturally rather than asserted as a slogan. The security FAQ sets out an Ensemble LLM architecture deploying specialised AI agents in a cross-validating chain configuration, combining proprietary Malbek AI and ML models with foundation models reached through AWS Bedrock and Azure, which the vendor states ensures well-grounded and cited results. A cross-validating chain is a real control and is more than most records on this axis publish. What is missing is measurement: no accuracy figure is published, no test set is described, no evaluation is linked, and no failure mode is named anywhere, including hallucination. Grounding to primary authority does not bite on a contract lifecycle product, where the corpus is the customer's own repository, and is not counted either way.

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.

Agiloft
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.

A written commitment that the models work alongside a reviewing person, with real review surfaces, short of the full control structure. Generative redlining proposes insertions and deletions against approved clause language for a negotiator to accept, the vendor's own product lead describing it as best used on substantive differences and not on minor edits; AI Trainer lets a firm decide what the review model looks for; ConvoAI answers link to source for verification; Services Agreement section 2.3(c) makes the customer solely responsible for evaluating output. What is not published is a threshold at which any AI Application acts without a person or a stated route back after a wrong output beyond the customer's own review. January 2024 launch coverage, Services Agreement and Supplemental Terms read 6 September 2026.

Malbek
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism. Human in the loop appears as a phrase rather than a described control.

Autonomy is claimed and oversight is not described. The platform is marketed on eliminating manual effort across the contracting process, streamlining negotiations, shortening review cycles and surfacing timely recommendations, and a published customer testimonial states that approximately 80 per cent of that customer's templates no longer require legal review. Nothing published describes what the system does unattended versus what a human approves, no review surface is named, no threshold is stated at which a matter returns to a lawyer, and no account is given of what happens after an output is wrong. The word recommendations implies an advisory posture but no control structure sits behind it. Searched the home page, platform and module pages, the security and compliance page and the plans page on 4 September 2026.

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.

Agiloft
CC on Operational and Outcome EvidenceCustomer logos and unattributed testimonials stand in for evidence, or results are quoted with no basis stated.

Scale claims stand in for named deployments on the surfaces read. The vendor states a 99.6 per cent implementation success rate without a method and describes customers as some of the largest companies; a customer stories page and Pacesetter awards exist in the navigation and were not opened, and are the rebuttal route. News releases and navigation read 6 September 2026.

Malbek
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.

Real deployment evidence with substance, short of assessable measurement. Named customers appear as logos including EDF, SurveyMonkey, Aptean, Articulate, Lighthouse, TIBCO, Cetera, J.D. Power and Darden. Testimonials carry names and roles rather than initials: Ellen Kranz, Senior Contracts Specialist, states approximately 80 per cent of templates no longer require legal review and describes contracts being active within minutes or hours; Adrienne Schaal, Director of Legal Operations, describes a Salesforce integration configured in minutes and field mapping without IT; Jeff Peduto, SVP Operations, describes 90 days notice before renewal dates. Malbek was named a Leader in the 2025 Gartner Magic Quadrant for Contract Life Cycle Management. What holds this at B is that the figures sit inside quotations with no method, date or baseline, and the separate by-the-numbers panel, including 120 per cent retention and 90 per cent recommending, states no basis, sample or date for any figure.

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.

Agiloft
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.

Four of the five limbs are in the published agreement and the privilege limb is absent. No training: Services Agreement section 2.3 and Supplemental Terms section 1 provide that customer data is not used to train AI Applications or AI Models without the customer's explicit prior written consent, and section 4.3 extends that to developing or improving the services at all. Segregation at the level an in-house buyer requires: the platform is offered single-tenant or multi-tenant by order, and section 2.2 confines Agiloft's use of customer data to providing and maintaining the services. Retention and deletion: section 14.3 deletes customer data within thirty days of termination and section 4.2 allows export at any time. Third-party model providers: Microsoft Azure OpenAI is named as sub-processor with its temporary abuse-monitoring storage of input and output disclosed, and AI service providers are defined as those on the published sub-processor list. Nothing addresses privilege or work product. Services Agreement and Supplemental Terms read 6 September 2026.

Malbek
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.

Substantive published commitments on confidentiality and training use, short of the full picture. The security and compliance FAQ is specific where most vendors are vague: client inputs, outputs, embeddings and training data are stated never to be shared with other customers, never accessible to the large language model vendor, never used to improve or train future models, and never used to enhance third-party products, with the same commitments said to be imposed on partners, subcontractors and sub-processors. Enterprise-grade data isolation is asserted, supported by role-based access controls with field-level permissions, single sign-on, multi-factor authentication and AES-256 encryption. The limb this band commonly finds missing, what the underlying model provider may retain, is answered here rather than absent. What is not published is retention or deletion, and privilege and work product are not addressed at all, which is defensible for a corporate CLM whose buyer is an in-house department rather than a firm but is still an unmet limb. The commitments also live on a marketing FAQ rather than in an agreement a buyer can read, because the terms of service did not render.

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.

Agiloft
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

A real position on advice versus tooling, short of a supervision dimension framed for lawyers and of jurisdiction limits. Services Agreement section 9.3(b) states that Agiloft is not an attorney or law firm or a substitute for one and does not provide advice, explanation, opinion or recommendation about legal rights, remedies, defences, options, selection of forms or strategies; section 9.3(c) and the Supplemental Terms state that AI output may be inaccurate and must be checked independently. The buyer is legal and procurement teams, and nothing describes how the product supports a supervising lawyer's duties or names a jurisdiction limit beyond export control. Services Agreement and Supplemental Terms read 6 September 2026.

Malbek
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 marketing describes the product in terms that displace legal review while no position on the advice line is published anywhere reachable. A featured customer quotation states that approximately 80 per cent of that customer's templates no longer require legal review and that sales teams start contracts and mark them active after signature within minutes, and the departmental pages sell contract handling directly to sales, procurement and finance. Against that, no disclaimer, no statement of what the product is and is not, no competence or supervision language and no jurisdiction limit was located on the home page, the platform and module pages, the security and compliance page or the plans page. The terms of service is the surface most likely to carry a disclaimer and it did not render, so the possibility that one exists there is not excluded; the grade rests on what the marketing does say rather than on that gap. Checked 4 September 2026.

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.

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

Transparency claims and incorporated third-party policies without a governance framework, testing regime or accountable owner. The vendor markets white-box AI that shows its reasoning by linking answers to source, the Supplemental Terms bind customers to the Microsoft AI Code of Conduct, OpenAI usage policies and AWS responsible AI policy, and section 3 warrants that usage-data insights are anonymised; no responsible AI framework of Agiloft's own, ISO 42001 or equivalent, pre-release testing description or statement about uneven output is published on the surfaces read. Supplemental Terms and news releases read 6 September 2026.

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

What is published under the AI heading is security rather than governance, and the two are different subjects on this axis. The AI safeguards answer is genuinely detailed, naming defences against instruction override attacks, data exfiltration through format manipulation, output format hijacking, CSV injection, multi-stage attack chains and delimiter confusion, which is a more specific account of LLM attack surface than most records carry. None of it addresses governance: nobody inside Malbek is named as accountable for AI outcomes, no pre-release evaluation of model output is described, no testing results are published, and there is no responsible AI statement, no ISO 42001 and nothing whatever on bias or uneven output across contract types or counterparties. The release process answer describes QA certification and change control for the platform generally, which is software governance rather than model governance.

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.

Agiloft
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.

Substantive published policy covering most of the ground. Retention and deletion: Services Agreement section 14.3 deletes customer data within thirty days of termination unless law requires longer, and section 4.2 gives export at any time. Sub-processors: a sub-processor list is published at a stated URL, AI service providers are defined by reference to it, and section 16.2 commits to emailed notice of updates to it; Microsoft's temporary storage of AI content for abuse monitoring is disclosed. Access control: section 5.1 commits to organisational, physical and technical precautions against access by employees and subcontractors, with detail in a security page and trust portal not opened. Incident practice: section 5.3 gives the customer a reporting route; a notification commitment sits in the DPA, which was not opened. Services Agreement and Supplemental Terms read 6 September 2026.

Malbek
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.

Substantive published policy covering most of the ground. Access control is set out in detail: a zero trust approach, AES-256 encryption, role-based access controls with field-level permissions, single sign-on and multi-factor authentication, continuous monitoring and threat detection, background checks on personnel, regular security awareness training and a security team monitoring systems around the clock. Incident practice is stated, with a structured response plan prioritising transparency, and third-party audits and penetration testing are said to run regularly. A business continuity and disaster recovery plan is described in outline, with the full policy available under NDA. What is missing from the set is retention and deletion, which are not stated anywhere reachable, and the subprocessor list, which exists but sits inside the Vanta-hosted trust centre and did not render. Checked 4 September 2026.

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.

Agiloft
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.

What the vendor stands behind is published and specific, and it goes further than most: Services Agreement section 10.1 gives an indemnity for intellectual property infringement and a second indemnity for unauthorised disclosure or misuse of customer data resulting from a breach of the or security obligations, with exclusions in 10.2 and mitigation remedies including a pro-rata refund; section 11 caps each party at twelve months' fees, raises the cap to three times for breaches of the security, confidentiality and compliance sections, and excludes gross negligence, wilful misconduct, fraud and the indemnities from any cap; section 9.2 warrants material conformity with a repair-or-refund remedy; and the Supplemental Terms state that AI output is as-is and that Agiloft has no liability for any damages arising from use of output. No insurance is stated. Services Agreement version 1.2 of 22 July 2026 and Supplemental Terms read in full 6 September 2026.

Malbek
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

No allocation of loss could be located on any reachable surface, and the note records why rather than asserting the vendor is silent. Malbek publishes terms of service and a privacy policy at malbek.io/terms-of-service and malbek.io/privacy-policy, both served through its own Klix clickwrap module, and both return the page frame with no body. The full retrieval ladder was run and recovered nothing: both www and non-www forms, with the non-www redirecting to the same shell; the site navigation and footer inventoried; the security and compliance page read in full as the substitute surface, which addresses training, isolation, access control and certification but carries no indemnity, cap, warranty or insurance position; the Vanta-hosted trust centre and subprocessor register, which return metadata without body; and on 4 September 2026 a search built on distinctive clause language, which returned only Malbek's own published commentary about limitation of liability and indemnification clauses in general drafting practice, authored by its General Counsel, and nothing from Malbek's own agreement. That commentary is about contracts at large and is not evidence of Malbek's contractual position. The grade records what a reader can establish from published material as located on 4 September 2026. It is not a finding that the agreement is silent, and a successful retrieval of the terms would be applied as an amendment with its own date.

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.

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

Real integrations, documented, with depth described in general terms. The Integration Hub is an embedded integration platform powered by Workato that the vendor states connects Agiloft to hundreds of other systems through connectors and recipes, with public help documentation at the Agiloft wiki; Third-Party Services are addressed in the Services Agreement. What a firm must configure and which systems sync in which direction are not described on the surfaces read; the integrations page and wiki were not opened. Supplemental Terms, Services Agreement and navigation read 6 September 2026.

Malbek
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.

Documented integrations into the systems contracting actually runs through, with depth described. More than 50 integrations are published and organised by type across CRM, ERP, e-signature, storage and SSO, with a browsable directory. The Salesforce connector is described to the level this band asks for: a productized native connector enabling complete bi-directional data synchronisation, configurable in minutes, and a customer quotation independently describes mapping new fields as business needs change without IT involvement. Named targets include NetSuite, SAP, Coupa, Slack, OneTrust, Adobe Sign, DocuSign and Azure OpenAI. Malbek Marketplace is a no-code drag-and-drop interface for configuring connections, which answers what a customer must set up, and a REST API is published for targets without a productized connector. The plans page states which integrations are complimentary and which cost extra, which is a configuration fact most vendors omit.

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.

Agiloft
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.

The tenancy model is stated in the agreement and residency is partial. The Services Agreement defines the core platform as available on a single-tenant basis, a dedicated cloud environment for one customer, or a multi-tenant basis, and the order selects between them; an EU Data Act addendum exists for EU customers. No region list, hosting provider or processing location for the AI providers is stated on the surfaces read; the security page and trust portal are the rebuttal route. Services Agreement read 6 September 2026.

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

Neither limb this axis needs is published. Data residency options are listed as a data protection feature but no region is named, no set of options is enumerated, and nothing states where a given customer's data would sit. Tenancy is not addressed at all: no statement describes whether the platform is single or multi-tenant or how customers are separated at the infrastructure level, and the closest published detail is the assertion of enterprise-grade data isolation on the security page, which is a claim rather than a tenancy model. Hosting on AWS is named, which identifies the infrastructure provider without answering either limb. Searched the home page, the platform and module pages, the security and compliance page and the plans page on 4 September 2026.

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.

Agiloft
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.

Independent audits are stated in the agreement with a named route to the reports, short of a report reachable without asking. Services Agreement section 5.2 states that Agiloft has completed audits by an independent auditor of the design and effectiveness of its security controls and that customers may obtain the reports through the trust portal at trustportal.agiloft.com, where they are confidential information. The audit standard, auditor and coverage period are not named in the text read, the portal was not opened, and whether a prospect can obtain a report self-serve is not established, so the lower access tier is graded. Services Agreement read 6 September 2026.

Malbek
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.

Malbek's security and compliance page, last modified 14 April 2026, states that it is SOC 2 Type II and SOC 1 Type II certified in its own right, which is a first party claim about Malbek rather than about its host. That distinction matters on this record because the certifications separately listed on the same page, ISO 9001, ISO 27001, ISO 27017, ISO 27018, PCI DSS Level 1 and SOC 1, 2 and 3, are expressly AWS's for the cloud infrastructure and are not credited to Malbek. The page also records regular third party security audits and penetration testing with independent auditors evaluating the security posture, background checks and annual security awareness training for personnel, round the clock monitoring by a dedicated security team, and a structured incident response plan. Compliance is claimed with GDPR, CCPA, CFR 21 Part 11 and GxP. It holds at B because none of the accessible evidence limbs is met: no certifying body or auditor is named, no report date, observation period or scope statement is published, no report is offered at any access tier, and the disaster recovery policy is stated to be available only under NDA. The trust centre at trust.malbek.io is hosted on Vanta and returned metadata with no body. On the third party verifiability test a buyer cannot check either certification against a register without contacting Malbek.

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.

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

Providers and change notice are published and the models are not named. The Supplemental Terms name Microsoft Azure OpenAI Service as the provider behind certain AI Applications and disclose that Microsoft temporarily stores input and output for abuse monitoring with human review of flagged content; the incorporated acceptable-use policies are Microsoft's, OpenAI's and AWS's, which identifies the provider set; AI service providers are defined as those on the published sub-processor list and section 16.2 commits to emailed notice of changes to that list. No model is named and no inference location is stated. Supplemental Terms and Services Agreement read 6 September 2026.

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

The architecture is described rather than asserted. Malbek's security and compliance page, last modified 14 April 2026, publishes an Ensemble LLM architecture deploying specialised AI agents in a cross validating chain configuration, combining proprietary Malbek AI and ML models with foundation models reached through AWS Bedrock and Azure. So a buyer can establish that both in house and third party models are in use and by what route they are reached, and Azure OpenAI appears among the integration logos on the plans page. The same page states that when external large language model APIs are used, Malbek adheres to each provider's terms and engages only vendors meeting its data protection standards, and that client inputs, outputs, embeddings and training data are never accessible to the LLM vendor and never used to improve or train models. A subprocessors page is published at malbek.io/sub-processors and was not opened in this pass. What keeps this at B rather than above it: no individual model is named, the foundation model providers behind Bedrock and Azure are not identified, no location is given for inference as distinct from hosting, and no commitment to notify customers when a model or provider changes was located.

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.

Agiloft
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 unit and structure are stated in the agreement without a figure on the surfaces read. The Services Agreement prices by order with use limits by type and number of users, prorated mid-term increases, add-on services priced separately, thirty-day payment terms and a choice of single-tenant or multi-tenant platform; a pricing page exists in the navigation and was not opened on 6 September 2026, and is the rebuttal route in either direction. Services Agreement read 6 September 2026.

Malbek
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 unit and structure are stated without the figure, which is this band's second limb. The plans page publishes the four variables a quote is built from: user types, number of users, modules, and Malbek connections. The pricing FAQ adds that customers pay only for what they need against a custom quote estimated on those inputs, that some integrations are complimentary while others carry additional cost, and that implementation is scoped per customer from a few datapoints. Support, training and the help centre are stated to carry no additional cost, with monthly training included. What is not published is any number, any band, any tier name or any feature split between packages, so the shape of the model is visible and its scale is not. A VendorPricing row is written on the published structure.

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.

Agiloft
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.

Segment and coverage are described with substance and one limit is stated. Solution pages address legal and procurement functions and seven industries, the buyer is enterprise, and the platform is offered single-tenant or multi-tenant with an EU addendum; the Services Agreement bars use for high-risk activities, which is a stated boundary. No contract type or practice area is named as unsupported and no law firm use is described. Navigation and Services Agreement read 6 September 2026.

Malbek
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.

Segment coverage is described with substance and the boundary is left open. Four buying departments each carry their own solution page, Sales, Legal, Procurement and Finance, with a stated purpose for each, and four industries each carry their own page, Life Sciences, Manufacturing, Consumer Packaged Goods and Retail, with regulated-agreement handling called out for life sciences and high-volume supplier and promotional contracting for CPG. Compliance coverage extends the picture with GDPR, CCPA, CFR 21 Part 11 and GxP named. The buyer is a corporate enterprise rather than a law firm, and law firms are neither claimed nor excluded. What is missing is the edge: no contract types are enumerated as supported, no organisation size is stated, government use is not addressed, and nothing says where the product stops.

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?

Agiloft
Opt in

Training happens only if the customer affirmatively enables it, and the switch is in the agreement. Services Agreement section 2.3 and Supplemental Terms section 1 provide that customer data is not used to train AI Applications or AI Models without the customer's explicit prior written consent, and section 4.3 provides that Agiloft does not use customer data to develop or improve the services without the same consent; usage data, defined to exclude the contents of customer data, may be used to improve the AI Applications. The default is no training and the mechanism is written consent. Surfaces checked 6 September 2026.

Malbek
Never, in policy only

The security and compliance FAQ answers the question directly and in the negative, stating that enterprise-grade data isolation guarantees customer data is never used for model training, and separately that client inputs, outputs, embeddings and training data are never accessible to the large language model vendor, never used to improve or train future models, and never used to enhance third-party products. The same commitments are said to be required of partners, subcontractors and sub-processors.

The commitment sits on a public security page rather than in an agreement: a terms of service is published at malbek.io/terms-of-service but its body is delivered through Malbek's own Klix clickwrap module and returned no content on 4 September 2026 in either URL form, so no matching contractual term could be located or excluded.

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Agiloft
Disclosed fixed window

A specific period is published and the customer cannot change it. Services Agreement section 14.3 deletes all customer data, which includes input and output, within thirty days of termination unless law requires longer, and section 4.2 allows export at any time during the term; the Supplemental Terms disclose that Microsoft temporarily stores AI input and output for debugging and abuse monitoring. Nothing states a shorter or configurable window for prompts and outputs during the term. Surfaces checked 6 September 2026.

Malbek
Not addressed

Written as an amendment on 4 September 2026, closing a row left unwritten under R7. Malbek addresses what happens to inputs and outputs in unusual detail and never states how long they are kept. The security and compliance page, last modified 14 April 2026, records that client inputs, outputs, embeddings and training data are never accessible to the LLM vendor, never used to improve LLM models or train future AI models, and never used to enhance third-party products, and describes enterprise-grade data isolation.

That covers access and permitted use rather than duration: no retention period, no deletion commitment and no end-of-subscription position appears on any surface reached. Retrieval limit, named so it is not read as a finding: the terms of service and privacy policy bodies are served through Malbek's own Klix clickwrap module and returned page frames with no clause text on two separate attempts, on 4 September 2026, the second using operator-supplied URLs, and a search on distinctive clause language returned nothing indexed. The trust center at trust.malbek.io is Vanta-hosted and returned metadata only.

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Agiloft
Own model, documented

The product's separation model is documented in the agreement at tenant level. The Services Agreement defines single-tenant as a dedicated cloud environment for one customer and multi-tenant as an environment that may be shared, with the choice made in the order; section 2.2 confines Agiloft's use of customer data to providing the services. Nothing describes matter-level or department-level walls within a customer's instance or how the AI Applications respect user permissions; the security page was not opened. Surfaces checked 6 September 2026.

Malbek
Claimed, not documented

Segregation is asserted in public material without published detail on how it is enforced. The security and compliance page states enterprise-grade data isolation and that client inputs, outputs and embeddings are never shared with other customers, and lists role-based access controls with field-level permissions among its data protection features. Nothing published describes the isolation mechanism, the tenancy model, or how permissions are administered, and no material addresses separation between matters or contract sets within a single customer.

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Agiloft
Notice committed

The published agreement commits to notice. Services Agreement section 7.3 permits disclosure of confidential information, which includes customer data, to the extent required by law and requires the receiving party, if legally permitted, to give the disclosing party prompt notice of the compelled disclosure and reasonable assistance should it wish to contest it; section 5.1 references the same clause for compelled access to customer data. No transparency report is published. Surfaces checked 6 September 2026.

Malbek
Not addressed

Written as an amendment on 4 September 2026, closing a row left unwritten under R7. No located public material addresses disclosure of customer data in response to a subpoena, court order or governmental request, and nothing commits to notifying the customer or reserves discretion over notice. The security and compliance page was read in full on 4 September 2026 and covers encryption, access control, operational security, third-party audits, disaster recovery and AI safeguards without reaching compelled disclosure at any point.

The sub-processors page and privacy policy are the surfaces that would ordinarily carry it. Retrieval limit, named so this is not read as a finding: the privacy policy and terms of service bodies are served through Malbek's own Klix clickwrap module and returned page frames with no clause text on two attempts, the second using operator-supplied URLs, and a search on distinctive clause language returned nothing indexed.

The trust center is Vanta-hosted and returned metadata only. There is nothing to quote because the position was not located rather than stated.

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Agiloft
Not addressed

No located public material identifies a legal corpus behind the product's answers, and the product is not built on one: ConvoAI answers questions about the customer's own contracts with links to the source passage, AI Trainer learns from the customer's own documents, and generative redlining works from the customer's approved clause language. No primary law source, license or update cadence is published. News releases and terms checked 6 September 2026.

Malbek
Not addressed

No located public material identifies a corpus behind the product's answers, and the product's design makes the question narrow: Malbek analyses the customer's own contract repository rather than retrieving external legal content, with BusinessIQ described as distilling that repository into generative intelligence. No external database, publisher or content license is named on any surface, and no jurisdiction coverage is claimed.

Searched the home page, the platform and module pages, the security and compliance page and the plans page on 4 September 2026.

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Agiloft
Not addressed

No located public material addresses whether authority is checked for subsequent history, and the product does not retrieve or cite primary law; its output is contract answers, redlines and extracted data. Recorded as the honest value for a product without a citator function. Surfaces checked 6 September 2026.

Malbek
Not addressed

Nothing on any located surface addresses whether authority is checked for subsequent history. The product does not retrieve primary law: it operates on the customer's contract repository, surfacing clause-level risk, obligations and commercial exposure rather than case law or statute. The question therefore does not bite on this product class, and the honest value is the absence rather than a penalty. Searched the home page, the platform and module pages, the security and compliance page and the plans page on 4 September 2026.

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Agiloft
Documented

The product documents how a user can check an answer rather than what the model does when it cannot answer. ConvoAI Document Q&A links each answer to the supporting passage so the user can verify it in the source, which the vendor markets as white-box AI; nothing states an abstention path or confidence signal when no supporting passage exists, and the terms require independent checking of every output. Recorded as documented on the strength of the source-linking design, with the abstention gap noted. February 2025 release and terms checked 6 September 2026.

Malbek
Not addressed

No located public material addresses what the product does when it cannot ground an answer. The Ensemble LLM architecture is described as a cross-validating chain of specialized agents ensuring well-grounded and cited results, which is a quality control rather than an abstention path, and no confidence score, grounding score or no-answer behavior is described as visible to the user. Hallucination is not named anywhere on the reachable surfaces, including in the AI safeguards answer, which addresses adversarial attack rather than model error.

Searched the home page, the platform and module pages, the security and compliance page and the plans page on 4 September 2026.

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

Agiloft
None located

No court order, opinion or disciplinary record naming Agiloft, ConvoAI or Astra was located as of 6 September 2026. The AI Hallucination Cases database maintained by Damien Charlotin was searched on the company and product names together with a general search for court findings; results returned sanctions involving general-purpose chatbots and, in one Fifth Circuit matter, other named legal research tools, none of which is this product.

This is a statement about the public record, not a finding about the product; a contract platform that cites no authority carries a remote exposure on this signal.

Malbek
None located

The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on the product and company name Malbek. No court order, opinion or disciplinary record naming the product was located. This records the state of the public record on that date and is not a finding about the product.

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Agiloft
Not addressed

No located public material names an ethics opinion, bar rule or professional responsibility framework. The Services Agreement addresses the advice line at section 9.3(b) and the Supplemental Terms incorporate the AI providers' acceptable-use policies, but no bar or regulator guidance on lawyers' use of AI is named on any surface read. Terms and news releases checked 6 September 2026.

Malbek
Not addressed

No located public material engages with bar or ethics guidance. The ethics answer on the security and compliance page describes corporate conduct policies covering anti-slavery, anti-bribery, anti-discrimination and sustainability, which are business ethics rather than professional responsibility, and no bar association, regulator, ethics opinion or professional code is named on any surface. The buyer is a corporate department rather than a regulated practitioner, which explains the absence without changing it.

Searched the home page, the platform and module pages, the security and compliance page and the plans page on 4 September 2026.

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Agiloft
Outside the fee relationship

The buyer is an in-house legal or procurement function that bills no client, so the product sits outside a lawyer-to-client fee relationship. The published savings framing is about cycle time and negotiation loops rather than fees, and nothing addresses how AI-assisted work is recorded or disclosed on any bill; no law firm is a named buyer segment. Surfaces checked 6 September 2026.

Malbek
Savings claims only

Public materials claim savings without addressing billing or disclosure. A featured customer states that approximately 80 percent of templates no longer require legal review, another that the money spent on the system came back tenfold, and the by-the-numbers panel claims 91 percent say Malbek enables and enhances productivity. Nothing addresses what happens to a bill when AI-assisted work compresses the time it takes, and no per-matter record of AI-assisted work is described.

The buyer here is an in-house department rather than a firm billing a client, which is the inverse of the direction this signal assumes.

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Agiloft
Subprocessors listed

A current sub-processor list is published with the AI providers inside it, and client-facing material exists in the published terms. The Services Agreement defines AI service providers as the third-party AI providers listed on the sub-processor list at a stated URL and commits to emailed notice of updates; the Supplemental Terms name Microsoft Azure OpenAI Service and disclose its content handling, and incorporate the Microsoft, OpenAI and AWS policies; the DPA is published.

The sub-processor list page itself was not opened on 6 September 2026, so whether it identifies every model provider is not established, which is why the row sits at this value rather than the top one; the list is the rebuttal route.

Malbek
Subprocessors listed

A model provider statement is published openly on the security and compliance page, naming AWS Bedrock and Azure as the routes to foundation models alongside Malbek's own proprietary models, together with a statement that inputs, outputs and embeddings are never accessible to the LLM vendor. That answers which providers stand behind the AI without a sales conversation. What is not openly published is a forwardable pack: the formal subprocessor register sits inside the Vanta-hosted trust center at trust.malbek.io, which returned page metadata with no body on 4 September 2026, no data processing agreement was located at any access tier, and the disaster recovery policy is stated to be available under NDA.

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Agiloft
Not addressed

No located public material addresses court disclosure or verification certification of AI-assisted work. ConvoAI's source-linked answers give a user a per-answer verification path inside the product, but nothing states that a record of the model used, sources and human verification can be exported for a court, and the product produces no court-facing work product. News releases and terms checked 6 September 2026.

Malbek
Not addressed

No located public material addresses court disclosure or verification certification. No audit trail or activity export is described on any reachable surface, the model used for a given output is not disclosed to the customer, and no record of human verification is mentioned. The platform is a contract lifecycle system for corporate contracting rather than a litigation product, so the question bites weakly, but nothing published answers it.

Searched the home page, the platform and module pages, the security and compliance page and the plans page on 4 September 2026.

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
  • Primary Law Corpus Provenance
  • Good Law Verification
  • Bar Guidance Alignment
  • Court Disclosure Support

Which one fits

Choose Agiloft if

  • You want the vendor's data promises backed by its contract. Agiloft's services agreement indemnifies you for unauthorized disclosure or misuse of your data caused by its breach, raises the liability cap to three times the fees for security and confidentiality breaches, and removes the cap for gross negligence, willful misconduct and fraud.
  • You need a dedicated environment and a named AI provider. Agiloft offers the platform single tenant or multi tenant by order, names Microsoft Azure OpenAI Service behind its AI features, discloses Microsoft's temporary storage of inputs and outputs for abuse monitoring, and emails notice of changes to its subprocessor list.
  • You want to train contract review on your own documents. Agiloft's AI Trainer is a no code tool for building review models from your own contracts, its ConvoAI Document Q&A links each answer to the highlighted passage, and its terms bar using your data for training without written consent.

Choose Malbek if

  • Your contracts start in Salesforce and end in the ERP. Malbek publishes more than 50 integrations, including a native two way Salesforce connector configurable in minutes, NetSuite, SAP, Coupa and DocuSign, a no code marketplace for mapping fields, and a REST API where no connector exists.
  • Sales, procurement and finance contract alongside legal. Malbek has separate solution pages for each department, with BusinessIQ turning the contract portfolio into reporting on revenue, risk and exposure, and Klix handling clickwrap for online agreements.
  • You want peers and audits you can point to. Malbek names customers including EDF, SurveyMonkey, TIBCO and Darden with attributed quotes, was a Leader in the 2025 Gartner Magic Quadrant for contract life cycle management, and states SOC 2 Type II and SOC 1 Type II certification in its own name.

In summary

Agiloft

Agiloft, Inc. of Redwood City, California, sells an enterprise contract lifecycle platform for legal and procurement teams across financial services, healthcare, life sciences, manufacturing, technology and energy, covering creation, negotiation, approval, signature, repository and obligations. Its AI features include AI Trainer for building review models on a customer's own contracts, ConvoAI Document Q&A with answers linked to source text, a prompt lab and generative redlining, and an Integration Hub built on Workato connects it to other systems. The AI Legal Index grades it in the top two bands on thirteen of fifteen capability axes, with an A on liability and recourse from its published services agreement. As of 6 September 2026 the index located no measured customer outcome and no published price figure.

Source: AI Legal Index, 2026

Malbek

Malbek is an enterprise contract lifecycle platform for corporate legal departments and the sales, procurement and finance teams that contract alongside them, with modules for AI insights, portfolio intelligence through BusinessIQ, and clickwrap through Klix. It publishes more than 50 integrations, including a native two way Salesforce connector, and runs an ensemble of its own models with foundation models reached through AWS Bedrock and Azure. The AI Legal Index grades it in the top two bands on ten of fifteen capability axes, with an A on integration depth. It states SOC 2 Type II and SOC 1 Type II certification and was named a Leader in the 2025 Gartner Magic Quadrant for contract life cycle management. As of 4 September 2026 the index could not read its terms and located no published price or retention period.

Source: AI Legal Index, 2026

Questions buyers ask

Agiloft vs Malbek: which is better for enterprise contract management?

On published evidence Agiloft sits in the top two bands on thirteen of fifteen AI Legal Index capability axes and Malbek on ten of fifteen, identical on nine. Agiloft's lead rests on a published services agreement with indemnities, a raised cap for data breaches and a named AI subprocessor. Malbek leads on integrations and on named customer evidence. Teams whose procurement reads the contract first have more to read from Agiloft; teams wiring contract management into Salesforce have more from Malbek.

Does Agiloft use customer contracts to train AI?

Not without written consent. Agiloft's services agreement and supplemental terms state that customer data is not used to train its AI applications or models, or to develop or improve its services, without the customer's explicit prior written consent. Its AI features run through Microsoft Azure OpenAI Service, which temporarily stores inputs and outputs for abuse monitoring, as Agiloft discloses. Malbek's security page states that customer data is never used for training. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

What does Malbek integrate with?

Malbek publishes more than 50 integrations across CRM, ERP, electronic signature, storage and single sign on, including a native two way Salesforce connector, NetSuite, SAP, Coupa, Slack, OneTrust, DocuSign and Adobe Sign, configured through a no code marketplace, with a REST API for other systems. Its plans page says which integrations are included and which cost extra. Agiloft connects through an Integration Hub built on Workato. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

How are Agiloft and Malbek priced?

Neither publishes a figure. Agiloft's services agreement prices by order, by type and number of users, with AI applications and the Integration Hub as separately priced add ons and a choice of single tenant or multi tenant platform. Malbek builds a custom quote from user types, number of users, modules and integration connections, and states that support and monthly training carry no extra cost. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

What do Agiloft and Malbek both leave unpublished?

The models themselves and any measure of how well they work. Neither names the specific AI models behind its features, publishes an accuracy figure or test set, or describes an AI governance framework with an accountable owner or testing before release. Neither addresses bias or uneven output across contract types, and neither publishes a price figure. Neither offers an exportable record of which model produced an output. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

Disclosure

Three readings to weigh. Malbek's terms of service and privacy policy are published but load through its own clickwrap module, which returned no text to the index, so its low grade on liability records that nothing could be read, not that the agreement is silent; its commitments against training and on isolation sit on its security page. A Malbek customer quote says about 80 percent of that customer's templates no longer need legal review. Agiloft's terms state that AI output is provided as is and that it has no liability for damages arising from its use. Agiloft was verified on 6 September 2026 and Malbek on 4 September 2026. Neither vendor reviewed this page.

Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.

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 303 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
September 24, 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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