Lexagle vs Sirion: how they compare in 2026
Lexagle is more directly aligned with a team that wants a playbook decision before signing and a clear response when the reviewed version changes. Sirion is aimed at a broader enterprise contract operation, combining Store, Create and Manage with agentOS for custom agents and connected processes. Its obligation and performance orientation can matter after signature, when the task is tracking whether negotiated commitments are actually delivered. The data language does not create a straightforward no training winner. Lexagle expressly permits certain aggregated or nonidentifying machine learning uses, while Sirion's SaaS terms reserve processing of customer data to inform machine learning despite narrower statements about external models. On that inconsistency, AI Legal Index identifies a contractual reservation that cannot be dismissed by the policy wording. Choose by operational scope and acceptable permissions together.
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.
Lexagle combines a conventional contract workspace with Lexie and Document Guard. Lexie drafts from approved templates, proposes clauses, extracts metadata and answers questions about agreements. Document Guard inspects clauses against a company's playbook and uses the result to permit signing, route a partial match to a person or block an unacceptable contract. It also requires another review when a protected version changes. These functions make AI part of the contract approval process, beyond a separate writing assistant. Templates, collaboration rooms, signatures and the repository still have value without those models, so the wider platform does not depend entirely on AI.
Sirion's contract lifecycle platform came before its AI, and the company has traded since 2012. The product is organized as Store, Create and Manage, covering repository, drafting, approval, negotiation, obligation tracking and performance management. Without the agents and agentOS, a working enterprise CLM remains, and Gartner classifies it as one. The models drive the capability Sirion now sells on top of it. Agents are described as extracting and normalizing contracts, assembling first drafts from a playbook, proposing redlines on the other side's paper and monitoring obligations. Customers can also build and deploy their own agents in agentOS.
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.
Document Guard compares agreement language with customer rules, highlights risky provisions and explains why a clause was flagged. The user can inspect the contract and the applicable playbook. Lexie also answers questions using the organization's contracts and institutional information. Lexagle promises consistent assessments through low temperature settings and fixed response parameters, but does not provide a reproducible accuracy test, error breakdown or hallucination rate. A claim of complete playbook alignment is not accompanied by test conditions. The material does not establish that every generated answer carries a link to its supporting passage or that suggested legal language has been independently validated.
AskSirion answers questions within one agreement or across the enterprise contract corpus, combining relevant clauses with related obligations, service levels, and counterparty records. Each answer links back to its underlying source, and the interface explains how it interpreted the user's request. Follow-up questions preserve context, while summaries, financial calculations, and date calculations draw on the same contract information. This establishes a traceable retrieval workflow for the customer's agreements. An externally reproducible accuracy evaluation, error breakdown, or legal citator is not specified. References to an agreement establish the source of a commercial term, rather than verifying that an external legal authority remains current.
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.
Document Guard has an explicit three state control scheme. A compliant agreement can proceed directly to signing, a partially compliant agreement is diverted for human review, and a noncompliant agreement is blocked or escalated. Legal teams define the rules in plain English, including payment, liability and jurisdiction requirements. Routing is driven by AI extracted information rather than a person selecting every action. A digital seal ties the compliance result to a particular version; external edits or a replacement upload trigger lockdown and another AI evaluation. This explains both the permitted unattended action and the circumstances requiring intervention, although it does not establish error rates.
AskSirion interprets a request and orchestrates agents for drafting, redlining, extraction, obligation tracking, and invoice reconciliation. Custom agent setup uses ordinary language to define the task, accessible data, connected systems, and when to escalate to the user. Agents can be tested with real scenarios and refined after launch. Recommendations include explanations and source links that allow review against the underlying contract. This gives administrators an escalation mechanism beyond a general promise of human control. Default stop conditions, the approval interface for consequential actions, and recovery after an incorrect action remain unspecified. The launch sequence permits an agent to go live before subsequent scenario testing.
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.
Yamaha Motor Philippines is a named customer describing improved contract visibility, approvals and signing. Lexagle also describes deployments for a global financial institution, a property developer and a state lottery, but those organizations are unnamed. Its promotional results include shorter contract cycles, reduced administrative work and a high satisfaction percentage. Those figures do not share a published sampling method or an independently reproducible baseline. The Document Guard testimonials identify job titles and sectors without customer names. There is therefore support for operational use of the broader platform, while the measured accuracy and incremental benefit of its current AI gatekeeper remain uncertain.
Three customer representatives speak on the record with their roles and employers. Edzard Janssen is Chief Procurement Officer at RBI. Reinhard Plaza-Bartsch is Head of Digital Supply Chain and Operations at Vodafone. Angella Dikmic is Manager of IT Vendor Management at GTAA. All three quotes are qualitative, and all three people work in procurement or vendor management rather than legal. The five percentage claims name no customer and read as product capabilities, so named customers and published figures are never paired. About 25 enterprise logos appear, including Citi, GE, Coca-Cola, Chevron, PayPal, Bayer, Rolls-Royce, Aramco, Yamaha, DP World and Zalando. Customers are in more than 70 countries, with more than $450 billion of contract value under management. Sirion also publishes a case study library.
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.
Lexagle describes separate customer datastores, application controls that prevent access across customers and tests that block a release if separation fails. Administrators can assign permissions for individual platform components, and internal collaboration rooms separate private discussion from counterparty work. Its displayed service terms also impose confidentiality obligations, but permit analysis of customer information to improve services and expressly allow certain aggregated or nonidentifying data to train machine learning. That permission matters for confidential contracts even when natural persons cannot be identified. No attorney client privilege preservation undertaking or detailed explanation of how legal matter restrictions apply to AI answers is provided.
Vendor library articles say customer data stays within the customer environment and is not used to train external language models. Clause 4.2 of the SaaS Terms, version 6, modified 26 August 2026, says otherwise. It reserves a right for Sirion to have its automated systems review and process Customer Data to generally inform machine learning capabilities in the services. None of the published agreements offers an opt out, and the agreement, not the library articles, is what binds. The rest of the confidentiality framework is published and can be read before signing. The data processing addendum stores and processes all customer data in a Sirion application instance specific to the customer. It sets Article 32 technical and organizational measures, with AES-256 at rest and TLS 1.2 in transit. It imposes need to know and least privilege access with automatic logout, requires deletion within 30 days of termination, and commits to notifying the customer of a confirmed security incident within 72 hours. Section 5 of the SaaS Terms adds mutual confidentiality, with a duty to give prior notice of any authority or court demand so the other party can object. The published agreements and trust center do not address privilege or work product.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The service terms expressly state that Lexagle is not a law firm, does not provide legal advice and does not create a lawyer client relationship. They also state that it carries no professional indemnity insurance and leave legal suitability and conclusions with the customer. Document Guard can apply a legal team's playbook, but passing its rules does not establish the legal effect of an agreement. The product is promoted to law firm partners and associates as well as corporate teams, while the displayed terms restrict third party service provision. That unresolved scope difference matters before using it for external client work.
The platform is sold to procurement, sales and finance teams as well as in house legal, all working on the same contracts. The three customer referees Sirion features are procurement and vendor management leaders, not lawyers. The home page, the trust center index with its AI ethics, compliance and security sections, and the terms and policies index say nothing on where tooling ends and legal advice begins. There is no statement that Sirion does not give legal advice, no professional responsibility or ethics page, no named bar or ethics guidance, including ABA Formal Opinion 512, and no jurisdiction limits.
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.
Lexagle describes client defined rules, low temperature model settings and automated checks on software access controls. These explain parts of application behavior, but not a company program for governing AI development and release. There is no named AI risk owner, published bias evaluation, testing across languages or report of recurring model failures and corrective action. The platform's regional compliance claims and security certifications address other responsibilities. Legal teams can control the standards used to approve their own contracts, yet the vendor does not explain how it assesses systematic errors in the underlying models or decides when a changed model is ready for use.
The trust center has a section titled Artificial Intelligence Ethics and Governance, last modified 16 December 2025, and its whole content is three sentences. They say Sirion has set up an AI Governance Program called S-AIGP, which monitors and ensures compliance with the EU AI Act 2024/1689 and other AI regulations as they emerge. Readers are told to contact their Sirion Account Executive for more. Sirion publishes nothing on who owns model behavior, what is tested before release, how the program works, or bias and uneven output.
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.
The security policy describes encryption in storage and transit, isolated customer datastores, component permissions and an incident process with prompt written notice once a breach affecting customer data is verified. The privacy notice names several service providers and describes retention for account operation, legal requirements and other stated purposes. It promises deletion or anonymization once information is no longer needed, without a complete schedule for contract content, AI prompts, outputs and backups. The service terms separately permit some improvement and machine learning uses after the subscription ends. This provides several concrete controls, while leaving the full AI data lifecycle and model processor arrangements incomplete.
The data processing addendum, version 3, modified 2 July 2026, covers retention, access, subprocessors, incidents and encryption. Appendix B sets the retention period by the controller's contractual direction. Clause 8.1 requires deletion or return of all Customer Personal Data, including copies, within 30 days of termination. Any retention the law requires is limited to that purpose and stays under the agreement's protections, and the SaaS Terms add automatic deletion after 30 days as a backstop. Access runs on a need to know and least privilege basis, with automatic logout on inactivity. Subprocessors are named in a list published at its own URL. Sirion gives notice and an objection right for any addition or replacement, imposes equivalent terms on each, and is liable for their breaches. Clause 4.3 commits Sirion to notify the customer within 72 hours of establishing material impact from a confirmed Security Incident, and Appendix B says 48 to 72 hours, with updates until resolved. The definition expressly excludes unsuccessful attempts such as failed logins and denial of service attempts. Encryption is AES-256 at rest and TLS 1.2 in transit.
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.
Lexagle undertakes to defend customers against specified infringement claims concerning the service, including Singapore patent, copyright, trademark, database and confidentiality rights. That is an ordinary service indemnity, with procedural conditions and an exclusive remedy provision; it does not expressly cover fabricated legal analysis or defective AI drafting. The displayed terms disclaim legal suitability and accuracy, assign responsibility for conclusions to the customer and exclude consequential losses. They also state that Lexagle has no professional indemnity insurance. The combination provides some recourse for a defined class of service claims, without an affirmative warranty or specific remedy for an AI generated clause that causes loss.
Sirion publishes its SaaS terms and a separate end user agreement, so both can be read before signing. Clause 7.1 commits Sirion to indemnify and defend the customer against third party claims that use of the services infringes intellectual property. Clause 7.2 sets four exclusions, namely combination with materials Sirion did not provide, unapproved changes, unauthorized use, and use inconsistent with the documentation. Clause 7.3 gives the remedies of securing the right to continue, replacing or modifying the services, or terminating with a pro rata refund of prepaid fees, as Sirion's sole and exclusive liability. Clause 7.4 has the customer indemnify Sirion over customer data. Clause 8.1 caps each party's total liability, across the whole term, at the fees paid for the subscription in the twelve months before the first event giving rise to a claim. Clause 8.2 excludes lost profits, lost or damaged data and consequential loss, and under clause 8.3 the cap does not apply to fees owed, breach of confidentiality or the indemnities. Clause 6.2 warrants that the services perform materially in line with the documentation, with a pro rata refund if Sirion cannot correct a nonconformity reported within ten days. Separate Sirion AI Services terms extend the intellectual property indemnity to the AI features, but exclude claims that come from the customer failing to review or validate output. Section 5.1 of those terms disclaims any warranty that output is accurate or free from hallucinations. No insurance position is published.
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.
Lexagle supports single sign on through Microsoft Azure and offers APIs for connecting contract information with existing business systems. Its service terms describe optional transfers of completed contracts to Google Drive and individual PDF downloads. Collaboration rooms keep internal discussion separate from external negotiation, while the repository supplies contract data for reminders and other workflows. The vendor also describes Oracle connectivity and transfers to ERP systems. These are identifiable connection and transfer functions, although the published material does not provide a complete implementation account covering field mappings, permission inheritance, synchronization failures and conflict handling across those systems. Custom integration scope is settled during the commercial discussion.
Nine named connectors are documented, each with its direction of travel, in the Non-Native Integrations article in Sirion University, last updated 24 February 2026. Four SAP Ariba accelerators cover procurement, bids, awards and contract workspaces. An executed contract request in Sirion creates a purchase requisition in Ariba, and the resulting purchase order is written back. Ariba sourcing events and RFPs become Contract Draft Requests on set triggers, one per bidding supplier with line items mapped, and supplier redlines move into Sirion for legal review. Awarded RFx events create a draft request with awarded line items synced. Contracts finalized in Sirion copy into Ariba Contract Workspaces with metadata, documents, line items and status. Three more connectors cover supplier master data from Ariba, SAP S/4HANA Business Partners on scheduled transfers, and Oracle ERP with logging, error handling and sync status. The Microsoft Dynamics connector runs both ways in auto or manual mode. The article describes configuration through triggers, modes and scheduling rather than as a full guide, and the wider Sirion University catalog needs a login. Sirion's public pages do not document the Word add in or the Salesforce connector to this depth. No document management connector such as iManage or NetDocuments appears on them.
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.
Lexagle's security policy places its hosted service and customer data on AWS in Singapore. The displayed service terms nevertheless allow personal data to be transferred or stored outside Singapore, and the privacy notice also contemplates processing at partner facilities. A newer product article describes Lexie processing as resident with the client, with no client data sent to Lexagle servers or third parties. It does not explain how that arrangement relates to the hosted platform or which product configurations receive it. Customers therefore have several location statements, but no single published architecture that resolves storage, inference, remote access and the available deployment choices.
Sirion's application is SaaS hosted by a cloud provider, according to the data processing addendum, and all customer data is stored and processed in a Sirion application instance specific to that customer. That isolation commitment sits in a contract rather than in marketing. Four underlying providers appear in the trust center, namely AWS, Azure, Oracle and IBM, which suggests customer choice without offering it as an option. Sirion's published documents make no residency commitment and give no region list or jurisdiction option. Nothing separates where processing happens from where data is stored. A Sirion library article describes the platform's multitenant scalability, which sits awkwardly beside the addendum's customer specific instance, and nothing published reconciles the two.
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.
Lexagle names ISO 27001:2022, SOC 2 Type I and Type II, and CSA STAR Level 2 among its security credentials. Its security policy adds details about encryption, deployment tests, access controls, incident response and AWS hosting. Those statements are more specific than a generic promise of secure contracts. The public materials do not supply the audit period, named assessor or complete reports establishing which services and AI components were covered. Separate claims of alignment with other industry and regulatory frameworks should not be treated as additional certifications. The credentials concern information security controls rather than the legal accuracy of generated contract language.
Appendix B of the data processing addendum names ISO 27001 as a held certification and describes the review process around it. Under clause 7.1, unless agreed otherwise, Sirion will give a copy of its latest security attestation report on the customer's written request, no more than once a year. Clause 7.2 adds a customer audit right, with scope, timing and controls agreed in advance and a reasonable fee. Appendix B also says Sirion reviews its cloud providers' SOC 1, SOC 2 and ISO 27001 reports as part of a shared responsibility model. That is oversight of the infrastructure rather than an attestation over the application. The report route is open to existing customers, so a prospective customer cannot get the report before signing. The addendum names no auditor, coverage period or scope statement for the ISO certificate. Sirion's trust center states ISO 27001:2022 certification. Its SOC 1 Type II and SOC 2 Type II sections explain what those reports cover, and its security page attributes SOC 1 and SOC 2 to the cloud providers Sirion runs on.
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.
Lexie is described as Lexagle's proprietary legal AI engine, trained on client specific contracts, approval knowledge and other institutional information. Document Guard adds low temperature settings, fixed response parameters and customer playbook context. These details identify the intended behavior and some training inputs, but not a foundation model family, inference provider or complete chain of model subprocessors. AWS hosting alone does not establish which model performs a review. There is also no published procedure for notifying customers before a model supplier or model version changes. The branded engine name consequently offers limited visibility into the technology handling confidential legal content.
A combination of more than ten large language models and more than 1,200 proprietary small language models powers the contract agents. A routing framework selects a model according to the task, while company content, policies, and risk preferences can refine agent behavior. The same architecture supports extraction, drafting, redlines, obligations, and invoice reconciliation through agentOS. Provider names, model families and versions, and processing locations for individual inference tasks are not identified. There is also no model change notification commitment attached to this architecture description. The disclosure explains how different model types are combined without identifying every external model a customer inherits.
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.
Lexagle prices a selected combination of modules after a discussion of business workflows, localization needs and implementation scale. Its menu includes contract management, signing, document management, vendor management and intellectual property management. The resulting package is customized, with no published entry amount, standard user allowance, contract volume unit or AI consumption rate. The acceptable use policy allows extra charges or restricted capacity for excessive usage, but supplies no numerical boundary. Implementation fees and a separate price for Document Guard are also unspecified. A proposal must therefore establish both the functional scope and the cost of growth before a buyer can estimate ongoing spend.
No pricing is published at any level, including the unit of charge. Sirion's site has no pricing page, no tier structure, no unit per seat, per contract or per agent, no volume banding and no statement of what implementation adds. Every call to action is a demo request. No published figure lets a prospective customer estimate cost before a sales process, even though Sirion publishes its SaaS terms, end user agreement and data processing addendum in full.
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.
Lexagle serves legal, sales, procurement and HR teams, with industry examples in banking, telecommunications, manufacturing, property and other sectors. Its headquarters and regional focus are in Singapore, and it describes customers across Asia Pacific and other markets. Document Guard is also promoted to law firm partners, associates, legal operations and compliance professionals. Malaysian contract and digital signature laws receive explicit attention in the product explanation. Broader claims of multilingual and jurisdictional adaptability do not include a tested coverage matrix or exclusions for particular legal tasks. The displayed restriction on providing services to third parties also needs reconciliation with the law firm audience.
Eight industries have their own pages. Financial services is split into procurement and into capital markets and lending. Insurance has a separate solution for triaging underwriting submissions. The others are automotive, IT services, healthcare, pharmaceuticals and life sciences, telecom, and oil and gas. Five departments have their own pages, covering in house legal, legal operations, procurement, sales and finance. Customers are in more than 70 countries, and the site is in English, German and French. Sirion does not say where the product stops. It excludes no contract or matter types, does not address law firms, government or public sector use, and describes coverage by industry and department rather than area of law.
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?
The displayed service terms permit analysis of customer information to improve Lexagle offerings during and after the subscription. They expressly allow use or disclosure in aggregate form, or another form that does not identify a natural person, including training machine learning algorithms. A separate confidentiality clause permits customer insights to improve services for other customers. This is a contractual permission with stated limits, rather than an assurance that confidential agreement content is excluded from all model development.
Library material from Sirion states that customer data stays within the customer environment and is not used to train external language models. Its SaaS Terms, version 6, modified 26 August 2026, reserve the opposite at clause 4.2. Sirion may direct its automated systems to review and process Customer Data to generally inform machine learning capabilities in the Subscription Services. The same clause covers generating aggregated and anonymized industry analytics, with a commitment not to publicly identify the customer or disclose Customer Data to third parties.
The agreement governs over a policy page, so the reservation is what binds the customer. It operates on Customer Data itself rather than on deidentified or aggregated derivatives, which gives it a broader reach than clauses limited to aggregate data. It says generally inform rather than train, so the words leave open whether it authorizes model training in the ordinary sense. The SaaS Terms, the end user agreement and the data processing addendum offer no opt out, consent step, configuration setting or exclusion route.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Lexagle retains personal information for the account relationship and other stated legal or operational needs, then deletes or anonymizes it when no longer required. The service terms preserve some analysis and improvement rights after termination. Neither statement supplies a complete retention timetable for prompts, generated clauses, model logs or backup copies. The separate claim of client resident AI processing does not establish a default zero retention setting for the hosted contract repository or its supporting systems.
The published data processing addendum says the retention period is set by contractual obligations as the controller directs. After termination, personal data is typically kept for 30 days. The window is therefore under customer instruction, with a stated default, in a contract rather than a policy page. The provision covers personal data rather than prompts and generated outputs specifically, and no zero retention setting is offered.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Customer information sits in separate datastores, with application controls intended to prevent one customer accessing another's data. Lexagle describes tests of that separation that run on each code update and prevent release on failure. Administrators can set permissions for individual components, and internal rooms separate private collaboration from counterparties. These are described tenant and workspace controls.
They do not establish a complete ethical wall model within a law firm or prove that every AI response inherits exclusions for a particular client matter.
Separation between customers is set out in the data processing addendum rather than in marketing. All customer data is stated to be stored and processed in a Sirion application instance specific to the customer, within the cloud service. A shared responsibility model applies, in which Sirion secures the software, the customer data and the related access, and the cloud provider secures the underlying facility. Vendor library articles describe role based access control with granular permissions.
Sirion's published material does not describe how access is enforced between teams inside a customer, where legal, procurement, sales and finance share the platform. A Sirion library article also describes the platform's multitenant scalability, and nothing published reconciles that with the addendum's customer specific instance. The buyer is an in house department, so separation between customer tenants is what applies here.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The privacy notice permits disclosure to courts, regulators and other authorities where required, and the displayed confidentiality terms make an exception for legally required disclosure. Neither gives the affected customer a specific advance notification commitment or a process for contesting a demand. Security breach notices concern a different event and cannot substitute for notice of compelled access. There is also no recurring report of government requests that would explain how such demands have been handled.
Section 5.3 of the SaaS Terms, version 6, modified 26 August 2026, holds the notice commitment. A party receiving a demand from an authority or court for the other party's Confidential Information may comply only after satisfying itself the demand is lawful. It must give as much prior notice as possible, where possible, so the other party can object, and mark the material as the other party's Confidential Information.
The duty is mutual and covers customer material. Confidential Information includes information that should reasonably be understood as confidential, and the AI Module clause at 1.8(b) confirms this by bringing Customer Data back into that definition. The notice duty is limited by the words where possible, not by a legal prohibition. The data processing addendum does not address third party demands. The terms pages, the addendum and the trust center give no transparency report or count of demands.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Document Guard describes training on principles of the Malaysian Contracts Act 1950 and refers to Malaysian digital signature requirements. Lexie also uses customer contracts and institutional approval knowledge. The product does not enumerate a licensed collection of statutes, cases or commentary behind its legal suggestions, nor explain how external legal material is updated. Naming a jurisdiction and selected legislation gives some geographic context without establishing the provenance or usage rights for the full legal knowledge used by the models.
The working corpus is the customer's own contract set. Answers are described as carrying citations linked to the customer's own data, and agents extract and normalize contracts from sources the customer nominates. Sirion separately states that its purpose built models are trained on millions of enterprise contracts. That describes a second corpus by its makeup, but Sirion names no source, states no license or rights basis, and does not say whose contracts those are.
The product does not retrieve primary law, so the usual questions of jurisdiction and coverage do not arise. No update cadence is published.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Lexagle's review process measures contract language against organizational rules and highlights deviations. It does not identify a licensed citator, a judicial treatment database or an equivalent mechanism for determining whether a cited legal authority remains reliable. The reference to Malaysian contract law is not a treatment history service. A green compliance result therefore concerns the supplied playbook and workflow, while the continuing validity of the legal assumptions behind that playbook remains a separate responsibility.
The platform manages contracts, obligations and supplier performance rather than retrieving case law or legislation, so a citator is not part of what it sells. The home page, the trust center index with its AI ethics, compliance and security sections, and the terms and policies index do not address whether legal authority is reviewed for subsequent history. They describe no citator, treatment signal or currency check.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Amber and red outcomes divert or block agreements that fail customer rules. They are defined compliance states, rather than an explanation of how Lexie responds when it lacks enough information to answer a legal question. No refusal policy describes unsupported jurisdictions, conflicting authorities or uncertain interpretation, and no published confidence measure supplies a defined response to those problems. Low temperature settings may limit variation in responses, but they do not by themselves show when the system will decline to answer.
AskSirion gives source references and explains how it interpreted a request when answering from contracts and related records. Custom agents can also escalate according to conditions the customer specifies. Neither feature establishes a response for a question unsupported by the corpus, or an uncertainty indicator presented to the reviewer. Contract issue severity and an administrator's escalation policy concern different decisions from whether an answer has adequate grounding.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The October 16, 2026 review of the Charlotin database found no Lexagle entry in the AI tool field or elsewhere in the case information. Lexagle's primary workflow concerns private contract review and approval rather than generation of court submissions, which may affect the visibility of an incident in a litigation database. This absence does not establish a hallucination rate or rule out unsupported legal assertions in suggested clauses, explanations or answers about agreements.
Sirion and its former name SirionLabs have no matching entry in Damien Charlotin's AI Hallucination Cases database. The database records judicial decisions addressing fabricated AI content and identifies an implicated tool when the case supplies one. Sirion's enterprise contracting and supplier governance functions differ from a litigation drafting service. The absence of a named database entry does not establish that every extracted term, contract answer, or proposed revision is accurate.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Lexagle expressly distinguishes its software from legal advice and assigns responsibility for conclusions to customers. Its regional materials discuss contract, signature and data protection requirements, but do not map AI features to a named bar opinion or professional conduct framework. Approval routing and private collaboration rooms may assist a lawyer's working practices. The vendor does not explain how those controls satisfy jurisdiction specific duties of competence, client communication, confidentiality and supervision when using generative AI.
Sirion's compliance material is oriented to regulation and security frameworks, covering ISO 27001, SOC 1, SOC 2 and the EU AI Act. None of it addresses the professional conduct obligations binding the lawyers who use the product. The home page, the trust center index with its AI ethics, compliance and security sections, and the terms and policies index do not engage with any bar or ethics guidance. That includes ABA Formal Opinion 512 and any state bar or Law Society material.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Document Guard is promoted to law firm partners and associates for faster due diligence and routine review. Lexagle also advertises reduced administrative work and shorter contract cycles across its wider customer base. It does not provide a client fee allocation method, a billing disclosure template or a record of how time saved by AI changes the charge to a legal client. Those efficiency claims therefore remain separate from the lawyer's professional responsibility for the fee ultimately billed.
Public materials are built around speed and automation gains. They cite 90 percent faster contract centralization, 85 percent faster insights, up to 90 percent faster time to contract and 70 percent faster agentic automation. A customer reports as much as a 50 percent rise in tasks automated. The home page, the trust center and the terms and policies index offer no record of AI assisted work by matter for fee purposes, and no guidance on billing, fee or disclosure treatment.
The buyer is an in house function rather than a firm billing a client, so fee disclosure here comes down to internal cost and outside counsel spend, and the published material addresses neither.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The privacy notice names several service providers, including Heap, FullStory, Google analytics services, Intercom and SendGrid, and the security policy identifies AWS hosting. That gives part of the supplier information needed for a client approval discussion. It does not identify the complete model supply chain or provide a prepared outside counsel AI disclosure package. A legal team would still need the applicable contract, processing configuration and client specific restrictions to assess whether a proposed matter can use the service.
Appendix D publishes a Sub-Processor List, stated to be regularly updated, at a named URL that can be reached without a sales conversation. Clause 5.4 commits Sirion to notify the customer of updates and give an opportunity to object to additions or replacements. Clause 5.6 requires equivalent data protection terms on every subprocessor and keeps Sirion liable for their breaches. Sirion publishes no disclosure pack for a firm answering a client's AI clause, and no consent or notification material for clients.
Its published material names no model provider. The trust center's AI ethics page routes AI governance detail to a Sirion Account Executive.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Lexagle records contract changes, approval activity and signing events. Document Guard binds its compliance result to a version and requires renewed evaluation after an external change, helping distinguish an approved draft from a later upload. These controls can support an account of the agreement's history. They do not supply a complete export of model identity, prompts, generated text and counsel's verification, or a prepared court declaration explaining AI use in a filed document.
Answers are said to carry citations linked to the customer's own data. Vendor material says every AI response includes citations to exact sources, with citation and justification at clause level. Audit trails are said to record system activity, user actions and data changes. Together these cover the sources retrieved and part of what was done, as a side effect of the product's design. Sirion identifies no model, so its material does not show which system produced a passage, and it describes no export built for court disclosure or AI use certification. The product serves enterprise contracting rather than litigation, so court standing orders are not its usual setting.
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.
- AI Governance and Bias Disclosure
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Which one fits
Choose Lexagle if
- Pre signature compliance routing is the principal automation need.
- Legal policy should be expressed in plain English rules.
- Version changes must reopen the AI compliance review.
Choose Sirion if
- The project extends into ongoing supplier obligations and performance.
- Custom agents must connect contract work with enterprise processes.
- Store, Create and Manage match a broader lifecycle transformation.
In summary
Lexagle
Lexagle's Document Guard classifies agreements against customer playbooks and ties the compliance result to a protected version. Lexie assists with drafts, clauses and contract questions, while shared rooms support internal and external negotiation.
Sirion
Sirion groups its contract lifecycle functions into Store, Create and Manage. It combines extraction and repository questions with authoring, negotiation, obligation performance and agentOS tools for building and operating custom enterprise agents.
Questions buyers ask
Is Sirion mainly a contract repository?
No. Store covers repository and extraction functions, while Create covers authoring and negotiation and Manage addresses obligations, performance and governance. AgentOS adds a separate layer for custom agent processes. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
What unattended action does Lexagle describe most clearly?
A fully compliant agreement can proceed to signing under Document Guard's rules. Partial compliance is diverted for human review, and noncompliance leads to blocking or escalation, with another evaluation after a version change. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Does Sirion's external model statement remove its contractual reservation?
No. Its SaaS terms reserve automated processing of customer data to inform machine learning capabilities. That permission is broader than the separate statement that data is not used to train external language models. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Which difference should drive a post signature project?
The stage of work is more useful than a generic claim of AI capability. In this comparison, AI Legal Index identifies Sirion's obligation and performance scope as the stronger reason to favor it over Lexagle's emphasized approval gate.
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.
Sirion's customer instance description and cloud provider assurances have separate scopes. Lexagle's region and client resident AI statements also require configuration specific interpretation.