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LexCheck
LexCheck is AI contract review software that applies a company's own negotiation positions to incoming contracts, returning an issues list and proposed redlines inside Microsoft Word. Its playbook builder captures preferred positions automatically from an uploaded template rather than requiring them to be written from scratch, and the resulting playbook is reviewed and edited by the customer in a self-serve platform where fallback positions and adjusted language can be added.
Review surfaces the contract language that deviates from those positions alongside an explanation of why each passage needs attention, then proposes redlines to resolve it. Two products are named: LexCheck Insights, the contract review and playbook capability, and LexCheck Copilot. The company positions the platform alongside a contract lifecycle management system rather than as a replacement for one, addressing the negotiation stage of the lifecycle.
It sells to legal, sales and procurement departments, global enterprises, high-growth businesses, private equity firms and law firms, and publishes case studies with NetApp and RSM, with Autodesk, Bio-Rad and DigiCert among the customers shown on its site. LexCheck was founded by Gary Sangha, previously founder of the SEC research platform Intelligize, and is based in New York; it raised a $17 million Series A led by Mayfield Fund and a further round led by Ulu Ventures.
The platform runs on Amazon Web Services from data centres in Northern Virginia and Oregon, with customer data stored and processed in the United States, and the company states it holds SOC 2 Type II accreditation. Its terms of service, data processing addendum and privacy policy are all published, and the terms carry a 99.9 per cent availability commitment with service credits, an insurance obligation naming the customer as an additional insured, and liability that is uncapped for security failures.
Capability grades
All 15 axes, graded from public sources on the date shown. 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.
Remove the models and nothing remains to sell. The vendor states the systems are built on large language models, and the two capabilities that constitute the product both depend on them: automatic capture of a customer's preferred positions from an uploaded template into a working playbook, and evaluation of an incoming contract against those positions to surface deviations and propose redlines. There is no repository, workflow, approval or signature product underneath that would still function if the models were removed; the self-serve platform exists to review and edit the playbook the models generated.
Two named products ship: LexCheck Insights, described as AI-powered contract review software that evaluates every contract and catches deviations in seconds, and LexCheck Copilot. The vendor describes its playbooks as LLM-powered and trained on the most common provisions and ready to use across virtually every contract type. Checked 8 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.
Accuracy is asserted repeatedly and measured nowhere, which is the C band's first limb exactly. The claims located are comparative and unquantified: the vendor states its system's AI is highly accurate and that this lowers risk more than human review, and its blog states that accuracy exceeds attorney counterparts while cutting review time by more than ninety per cent. No accuracy figure attributable to a test is published, no test set is described, no method is set out, and no third-party validation is referenced.
Failure modes are named nowhere on the estate: nothing states what the system does with contract language outside the playbook, with unusual provisions, or where a position is ambiguous. What does exist, and what keeps this off the floor, is a described rationale surface: the vendor states that insights are transparent and explain why particular contract language is potentially problematic and requires attention, so a reviewer sees a reason attached to each flagged passage rather than an unexplained mark.
R15 governs the limbs that do not bite. This product cites no legal authority, retrieves no cases and has no citator, so the primary-authority, citation-status and no-support limbs are inapplicable rather than failed, and grounding is read against the customer's own playbook positions. B is unavailable because the rationale surface is asserted rather than described: no retrieval or matching method is published, so a buyer cannot tell what the explanation is derived from. Checked 8 September 2026.
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.
Oversight is asserted and one real control is described, but nothing addresses oversight of the output, which is where this axis bites. What is published: the customer reviews and finalises the drafted playbook in a self-serve platform before use, can add fallback positions and adjust language, and the vendor frames this as maintaining control and being able to edit the playbook at any time. That is a genuine described control, but it governs the standard rather than the result.
Nothing published states whether a lawyer must review the redlines the system proposes, at what point the system acts alone, what happens when it is wrong, or what route a flagged contract takes back to human judgement. No human-in-the-loop commitment appears on any surface, and no such provision appears in the Terms of Service, which were read in full. Two of the vendor's own statements pull against each other and R37 rule 2 governs the treatment: the platform is presented as keeping the customer in control, while the technology page states the AI is highly accurate and lowers risk more than human review, and the marketing states the tools are easy enough for anyone to use so reviews can be completed without the need for external support.
The conflict is not graded as such; what it reveals is that the threshold at which the system's output is relied on without legal review is unstated, and that is the limb missing. B requires a written commitment that the models work alongside a supervising lawyer, and no such commitment is published. Checked 8 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.
Real deployment evidence with named customers, short of attributed measurement, which is the B band. Two case studies are published with the customer named and a quotation attributed: NetApp, on contract review, and RSM, whose quoted reviewer calls it the best technology implementation they have witnessed for value and ease of use. A further customer strip names Autodesk, Bio-Rad, DigiCert and NetApp. That is named production use rather than logos alone.
What holds it off A is that the figures and the names are never joined. The headline outcome claims are aggregate and unattributed: more than a seventy-five per cent increase in speed to close, contracts signed in as little as one day rather than weeks, and more than a fifty per cent reduction in legal costs per contract review. None is tied to a named customer, dated, or supported by a stated basis or method, so a reader cannot assess how any of them was derived or over what population.
Under the R25 triage the two case study pages were named but not opened, because the grade rests on the named customers and attributed quotations visible on the home page rather than on the contents of those pages; had the grade turned on a figure inside them they would have been load-bearing and read. Checked 8 September 2026.
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.
Substantive commitments a buyer can read before signing, held at B by two absent limbs, one of which R33 makes mandatory. Published and readable: the customer exclusively owns all right, title and interest in Client Data irrespective of whether it is stored or processed in the platform, with assignment of any interest the vendor might be deemed to hold; Client Data is expressly within the definition of the customer's Confidential Information; confidentiality obligations run during the term and thereafter with no expiry; disclosure is restricted to personnel with a need to know; data is stored and processed in the United States with ninety days' notice of any change in processing location; the security page states customer data is only used to provide the service and that the vendor does not look into an account without permission; and encryption is AES-256 at rest and TLS 1.2 or greater in transit.
Two limbs are missing. Privilege and work product are not addressed anywhere, expressly or by implication, which under R33 is dispositive on its own. And the position on training use is silent across all three published instruments, so a buyer cannot establish whether contract text reaches a model, while no model provider is named anywhere so what any such provider may retain is equally unestablishable. Segregation between users or matters is also unaddressed, which matters given law firms are a named buyer segment. Checked 8 September 2026.
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.
Nothing published addresses the advice line for a product that proposes contract language, and the product is expressly sold to people who are not lawyers. The Terms of Service were read in full and contain no statement that the service is not legal advice, no requirement or expectation of lawyer review, and no provision addressing competence or supervision. The privacy policy and the security and technology pages contain nothing on the point either.
The intended audience is not ambiguous, which removes the other route to C: the vendor names legal departments, sales departments and procurement departments among those it serves, and states that its tools are easy for anyone to use so a team can complete reviews efficiently without the need for external support. That is marketing addressed to non-lawyers describing the product as a substitute for outside legal help, with no accompanying statement about what the product is and is not.
One provision was tested and does not reach this axis: clause 11.3 disclaims warranties including accuracy of results, but a warranty disclaimer allocates risk for defective performance and says nothing about whether output constitutes legal advice or who should review it. Under the no-double-spend rule it is graded on AI Liability and Recourse, where it answers the question directly. The grade records what is locatable on the date. Checked 8 September 2026.
AI Governance and Bias Disclosure
Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
No governance position is published for a system whose output is proposed contract language. Nothing identifies who inside the vendor is accountable for AI governance, no pre-release testing or evaluation regime is described, no results are disclosed, and nothing addresses uneven output across contract types, counterparties, drafting conventions or jurisdictions. There is no responsible AI page, no principles statement, no model card, no AI policy, no certification such as ISO 42001, and no third-party assessment referenced.
The C band was tested and does not fit: C describes principles published without a mechanism, and here no principles are published at all. Two items were considered and rejected as belonging to other axes under the no-double-spend rule. The operational security policies described on the security page govern IT assets, disaster recovery and access control and are validated under SOC 2 guidance, which is security governance rather than AI governance and is spent on Security Certifications and on AI Safety.
And the accuracy assertions on the technology page are marketing claims about performance, not a testing regime, and are spent on Citation Accuracy. The absence is notable in context, since the vendor's own material makes a comparative claim that its AI is more accurate than human review while publishing nothing that would let anyone test or govern that claim. Checked 8 September 2026.
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.
Substantive published policy covering nearly the whole of the A band, short of it on the single limb the B band names. Published and specific: incident practice is unusually strong, with the Data Processing Addendum committing to written notice without undue delay and in no event longer than twenty-four hours of becoming aware of a Security Incident, including the details the customer needs for its own notification obligations, alongside documented detection and response procedures; the Terms add a broadly defined Security Event, a notification and cooperation obligation, and a customer or regulator right to audit books, systems and log files following an incident.
Deletion is specific: all copies of Customer Personal Data including archival copies destroyed within ninety days of termination, return within thirty days on request, secure physical destruction of media, and a Certificate of Deletion supplied within thirty days on request. Access control, encryption at rest and in transit, regular penetration and vulnerability testing, backups with a stated twenty-four hour recovery time and recovery point objective, and an annual audit right exercisable for any reason are all published.
The B band's named shortfall is exactly what is absent: no subprocessor list is published. The DPA makes one available on reasonable request with thirty days' notice and an objection right before any new third party is engaged, which is a strong change-control mechanism but is not a published list. Retention of contract content is also addressed only as prescribed intervals, naming no interval. Checked 8 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.
All four elements the A band names are published and specific, including the one most vendors in this lane omit entirely. Indemnity scope, at clause 9.1, is broader than the usual intellectual property carve: the vendor indemnifies against losses arising from any Security Event, from any failure to comply with the confidentiality and data security article, and from third-party claims that the platform infringes intellectual property rights, with the vendor controlling defence at its own cost and a licence, replacement or refund path at 9.4.
Caps, at clause 10.1, are the charges paid in the preceding twelve months. Carve-outs are specific in both directions: 9.3 excludes unauthorised combination and customer-supplied designs, while 10.3 makes liability entirely uncapped for Security Events, confidentiality and data security failures, indemnification obligations, fraud, wilful misconduct, gross negligence and service level credits. Insurance is a full article rather than a mention: the vendor must maintain primary coverage of at least one million dollars with A-rated carriers, name the customer as an additional insured with equally broad coverage, furnish certificates on request, give thirty days' notice of cancellation or material alteration, and waive subrogation, with the stated intent that the vendor's insurance rather than the customer's responds.
Affirmative warranties at 11.1 include that the platform will perform the functions described in the Documentation with a repair-or-replace obligation. A service level of 99.9 per cent availability carries a defined credit and a termination right after three consecutive failures. One limit is named rather than buried, because it is the adverse half of the picture: clause 11.3 disclaims accuracy of results, so the warranty runs to conformity with the Documentation rather than to the correctness of any individual redline, and nothing is invocable for a wrong output as such.
Under R65 that is disclosure of an adverse allocation, credited rather than penalised, and it is stated here so a reader weighs the wording rather than the grade. Checked 8 September 2026.
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.
An integration into the contract stack is claimed and no system is named, which is the C band's substance. The vendor states the platform is built to seamlessly integrate with the customer's contract lifecycle management solution and to optimise the negotiation phase of the lifecycle, but names no CLM platform anywhere on the estate, publishes no integration page, no partner list, no connector documentation and no API reference.
Nothing describes what would sync, in which direction, or what an implementer would configure. Microsoft Word is the one named system, and the product does deliver into it, described as keeping work in one place and working in the customer's usual word processing software; the privacy policy separately refers to plug-ins exchanging information with LexCheck. That is a named surface without a description of what actually moves between it and the platform, and the primary workflow described elsewhere is web-based, with the user signing into the platform and uploading a contract.
B was tested and declined: it requires real integrations that are documented, and what is published here is one delivery surface asserted without description alongside a category-level integration claim with nothing behind it. A third-party source names two channel partnerships; that is an aggregator listing, excluded outright as evidence, and is recorded only so a later reader knows it was seen and refused rather than missed. Checked 8 September 2026.
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.
Residency is published to a level almost nothing else in this lane reaches, and the distinction the A band asks for is drawn expressly. Regions are named in the agreement rather than gestured at: clause 1.6 identifies the primary data centres as located in Northern Virginia and the secondary in Oregon, and provides that the platform and Client Data may only be hosted at those data centres or others the customer approves.
Clause 8.6 addresses processing separately from storage, stating that the platform and services are provided from the United States and that Client Data will be stored and processed in the United States, requiring at least ninety days' advance notice before any change in processing location, and giving the customer a right to terminate without penalty with a pro-rata refund if data is stored in a foreign jurisdiction it has not approved in writing.
The Data Processing Addendum reinforces it, committing the vendor to inform the customer in writing of all countries where data is processed or stored and to obtain consent, and recording the United States as the only such country as of the effective date. Hosting is on Amazon Web Services. The tier limb does not bite and is named rather than counted either way under R15: a single cloud deployment model is offered, with no on-premise, private cloud or region-choice variation to describe.
One genuine gap is recorded and is the reason this call is flagged: the tenancy model is stated nowhere, so a buyer cannot establish whether the deployment is single or multi-tenant or how separation is achieved. Checked 8 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.
A real named certification without scope or date and with no route to the report that avoids a sales conversation, which is the B band precisely. The vendor states it has achieved and maintains SOC 2 Type II accreditation and that its operational security policies are regularly reviewed and validated per its SOC 2 guidance. What is not published: the auditor is not named, no audit period or report date is given, and the scope of the assessment is not described.
Access is sales gated and therefore earns no credit under R5, the page directing a reader to contact their Account Executive to obtain the most recent Type II report. A second badge sits under the same Certifications heading and is not a certification: GDPR compliance is described as best practices maintaining strict compliance, which is a self-assertion with no attestation, auditor or scope behind it, and it is recorded as such rather than counted.
The security page itself is substantive and self-published rather than a hosted portal, setting out hosting, encryption, data usage, recovery objectives, ownership, operational policies, retention and penetration testing, which is what keeps this above the C band's bare badges. A is unavailable because nothing there carries reports, dates or the standards actually covered, and no self-serve route to evidence exists. Checked 8 September 2026.
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.
The vendor refers to the models generically and identifies nothing underneath them, which is the C band in its own words. What is published is that the systems are built on large language models, that these are ideal for handling large sets of data, and that the playbooks are LLM-powered and trained on the most common provisions. No model is named, no model provider is named, no architecture is described, and nothing states whether the models are the vendor's own or a third party's. The Terms of Service and the Data Processing Addendum were both read in full and neither identifies an artificial intelligence subprocessor; the DPA's third-party mechanism is generic and its list is available only on request.
Amazon Web Services is named as the hosting environment and as a subcontractor in the support exclusions, and under R29 test 1 naming a cloud host says where a model runs rather than whose model it is, so that fact is spent on infrastructure and does not reach this axis. D was tested and does not fit, because the vendor does publish that large language models sit behind the product; what it withholds is which. Change notification is not reached: with nothing named, notification would be a fourth limb of an A this record cannot approach. Checked 8 September 2026.
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.
No pricing information is published at any level, including the unit of charge. There is no pricing page on the estate, no rate, no band, no tier name, no feature split, no minimum term, no seat minimum and no free or trial tier with stated terms. Every purchase path resolves to a demo or contact request, and the agreement confirms the shape: fees are set entirely in an Order Form executed between the parties, with clause 2.3 leaving the Unit of Measure to be specified per order as named users, concurrent users, devices, locations or transactions.
That clause describes what an order may contain rather than telling a buyer what this vendor charges for, so it does not lift the axis. C was tested and does not fit, because C describes pricing gated behind a demo while tier names and feature splits are published, and no tier or feature split is published here at all. Two commercial terms were located and are recorded rather than used to lift the grade, because they govern how a price may change rather than what the product costs: clause 5.3 caps any renewal increase at the lesser of two per cent of the prior year's charges or the rise in the vendor's list prices, which is a genuinely protective term rarely published in this lane, and clause 5.4 sets thirty-day payment with a one per cent monthly late fee and a good-faith dispute process.
Clause 5.6 records that a satisfactory credit check is required before a subscription starts. No VendorPricing row is written, per the R10 discipline that a page inviting only a sales conversation is an absence. Checked 8 September 2026.
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.
Who the product serves is set out as an explicit list rather than implied, with the boundaries left open. Seven segments are named: legal departments, sales departments, procurement departments, global enterprises, high-growth businesses, private equity firms and law firms. The named customers corroborate breadth across segments rather than clustering in one, spanning technology, professional services and life sciences.
Buyer framing is differentiated in the material, with the platform positioned for teams reviewing recurring commercial agreements at volume and for non-specialist users applying positions the legal team has set. What is left open is the coverage boundary. Contract type is addressed only by the claim that the playbooks are ready to use on virtually every contract type, which is a breadth assertion with no supporting enumeration, no list of supported agreement types, and no statement of where the product works less well.
Practice areas are not addressed as a dimension at all, coverage being organised by buyer function rather than by practice. Government use is nowhere described. A requires the limits to be stated and they are not; C was tested and does not fit, because coverage here is not a bare claim to serve everyone but a specific and differentiated segment list. Checked 8 September 2026.
5 public documents
The public pages on file for LexCheck, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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lexcheck.com/platform/security3 signals
Client Data in Training, Prompt and Output Retention, Ethical Walls and Matter Segregation
Read Sep 8, 2026
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lexcheck.com/platform/technology3 signals
Primary Law Corpus Provenance, Good Law Verification, Refusal and Uncertainty Behaviour
Read Sep 8, 2026
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lexcheck.com/terms-of-service3 signals
Third Party Request and Subpoena Notice, Bar Guidance Alignment, Court Disclosure Support
Read Sep 8, 2026
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lexcheck.com2 signals
Fabricated Citation Record, Billing and Fee Posture
Read Sep 8, 2026
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Outside Counsel Guideline Readiness
Read Sep 8, 2026
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
The agreement is published and was read in full, and it says nothing about training. The Terms of Service dated 13 January 2025, the Data Processing Addendum and the privacy policy dated 21 March 2025 were each read end to end, and none contains any provision addressing training, model improvement, machine learning or the use of customer content to develop the product. The value records that silence. no-agreement-published is false because a full agreement is published. policy-never was tested and declined: its words require public material stating that customer content never trains, and no surface makes that statement.
The closest located, quoted here, is a purpose limitation on the security page confining use of customer data to providing the service, alongside a statement that data is not mined or sold for advertising purposes and belongs entirely to the customer. That is a purpose limitation and an advertising carve-out rather than a training position, and a buyer cannot tell from it whether contract text reaches a model. The residuals clause at 6.4 was tested against the rule that a clause must name the thing before it reaches this signal: it lets each party reuse general concepts, techniques and know-how, but it is expressly bounded away from the other party's Confidential Information, which is defined to include all Client Data, and it names neither training nor machine learning, so it does not reach the permissive end.
The context makes the silence pointed rather than incidental, because the vendor states elsewhere that its systems are built on large language models and its playbooks are LLM-powered.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
Retention is addressed on more than one surface and no period is stated for the material this product actually processes. A ninety-day figure exists and is real, but its scope has to be read carefully before it is credited. The Data Processing Addendum requires destruction of all copies of Customer Personal Data, including archival copies, within ninety calendar days of termination, return within thirty days on request, and a Certificate of Deletion within thirty days on request.
However the addendum defines Customer Personal Data narrowly as personal data pertaining to the customer's users or employees, and enumerates it as names, titles, positions, employers, contact details, identification data and electronic identifiers such as IP addresses. It does not govern the contract documents, playbooks and outputs the product exists to handle. For those the position is the Terms of Service return-or-destroy-on-request provision at 8.5, which is triggered by a written request rather than by a schedule and carries exceptions for material archived for disaster recovery and material retained under applicable law, and the security page statement quoted here, which commits to deletion at prescribed intervals without naming an interval. disclosed-fixed was declined because no fixed window governs prompts or outputs. customer-configurable was declined because deletion is a request the vendor processes rather than a control the customer operates. The vendor separately commits not to delete data in an account without giving the customer time to export it.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses walls or matter level segregation.
No located public material addresses walls or matter-level segregation. The Terms of Service, the Data Processing Addendum, the privacy policy, the security page and the technology page were all read and none states the tenancy model, describes isolation between customers, addresses separation between users or matters within a customer, or explains how any of it is enforced. The question bites on this record rather than being inapplicable, because law firms are one of seven named buyer segments and the product ingests counterparty agreements that may sit across client matters.
Two provisions were tested and neither reaches this signal. The statement quoted here commits the vendor not to access an account without permission and confines use of customer data to providing the service, which is an access-control and purpose commitment rather than a segregation architecture, and it is graded on Privilege and Confidentiality Posture where it answers the question directly. And the confidentiality article restricts disclosure to personnel with a need to know, which governs vendor staff rather than retrieval boundaries between customers or matters. claimed-undocumented was tested and declined because it requires segregation to be asserted in public materials, and no assertion of segregation was located to be undocumented. inherits-dms-acl is not reached, since the product takes uploaded documents rather than retrieving from a document management system, so there is no source system access model for retrieval to enforce.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
The agreement commits to advance notice before compelled disclosure and pairs it with a protective-order opportunity. Section 8.3 permits disclosure of the other party's confidential information only pursuant to the order, request or requirement of a court, administrative or regulatory agency or other governmental body, and only where the receiving party gives the notice quoted here. It adds a second protection that most records at this value do not carry: where a protective order is not obtained, the receiving party discloses only the portion of the confidential information that its legal counsel, including internal counsel, advises it is legally required to disclose, and the material disclosed remains confidential as between the parties.
The commitment is mutual and it operates as a condition on the disclosure permission rather than as a statement of practice, so discretionary and disclosure-without-notice are both false of this record. Customer contract content falls inside the protection because Client Data is expressly within the definition of the customer's Confidential Information. Two qualifications are recorded rather than left implicit: the notice obligation applies where the receiving party is legally permitted and it is reasonably practicable, which is standard drafting, and the cost of seeking the protective order falls on the disclosing party. notice-and-report was declined because no transparency report, law enforcement request report or periodic disclosure of any kind is published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
No located public material identifies a corpus behind the product's output. The product carries no legal corpus: it operates on the customer's own uploaded template and the playbook positions extracted from it, and on the contract under review, and it neither retrieves nor cites legal authority. The value records what is locatable rather than alleging vendor silence about something the product has. One statement was located that touches the question and is recorded because it comes closest without answering it.
The technology page states that the LLM-powered playbooks are trained on the most common provisions and are ready to use on virtually every contract type. That asserts the models were developed against a body of contract language, which raises the provenance question directly, but it identifies no source, no jurisdiction, no dataset, no licence and no rights basis for whatever that body was, so nothing in it can be credited. named-no-licence was tested and declined on that basis: the most common provisions identifies nothing a reader could examine.
This is also the value the contract-review-and-drafting lane carries for products whose material is the customer's own paper, so the record sits consistently with its comparators rather than being graded on a fresh reading.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
No located public material addresses whether authority is checked for subsequent history, because the product cites no authority. It evaluates a commercial contract against positions captured from the customer's own template, surfaces deviations and proposes redlines inside Microsoft Word. It does not retrieve cases or statutes, does not present citations to legal authority, and has no citator function to describe. The value records an absence of located material on this question rather than a defect in a product that was never built to answer it, and it is the value carried across the contract-review-and-drafting lane for the same structural reason.
What the product does check is recorded so a later reader sees the distinction was drawn rather than missed: the vendor states that it evaluates contract language against the customer's preferred positions and explains why flagged language requires attention. That is verification of a commercial provision against a customer standard, not verification of legal authority against subsequent history, and it is graded on the citation accuracy axis where it answers the question directly.
Refusal and Uncertainty Behaviour
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
No located public material addresses what the product does when it cannot ground an output. Nothing on the estate describes an abstention path, states what happens to contract language that falls outside the playbook's coverage, addresses unusual or novel provisions, or explains how a reviewer is told that the system has low confidence in a particular passage. No confidence score, grounding score or uncertainty indicator is described, so confidence-scoring-only is false as well.
The published material runs in the opposite direction and is recorded here because it is the reason the absence matters rather than being merely a gap: the vendor states that its system's AI is highly accurate and that this lowers risk more than human review, that playbooks are ready to use on virtually every contract type, and that reviews can be completed without the need for external support. Those are claims of coverage and reliability made without any accompanying account of where coverage ends.
The nearest thing located to a limit is the invitation to edit the playbook and add fallback positions at any time, which is a mechanism for the customer to extend the standard rather than a description of what the system does when it reaches the edge of one.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
No matter naming this vendor was located. Searches were run on the company name against the AI Hallucination Cases database maintained by Damien Charlotin and against general search on 8 September 2026, and nothing returned any filing, sanction, order or judicial finding involving LexCheck or its named products. The value records the state of the search on that date rather than a claim that no such matter could exist.
One structural point is recorded for a later reader. The product does not generate legal citations: it proposes contract language against positions captured from the customer's own template and does not retrieve or cite authority, so the failure mode this signal tracks is unlikely to arise from its output in the ordinary course. That structural observation is not a substitute for the search, which was run on the name regardless and returned nothing.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No located public material engages with bar or ethics guidance. No ethics opinion is cited, no state or national bar guidance is discussed, no regulator is named, and nothing maps the product against the professional conduct rules its buyers are bound by in any jurisdiction. generic-reference was tested and declined, and the distinction is worth stating because it is narrow. That value requires public materials to refer to professional responsibility in general terms, and here there is no such reference at all: the Terms of Service were read in full and contain no statement that the service is not legal advice, no requirement or expectation of lawyer review, and nothing touching competence or supervision, and neither the privacy policy nor any product or security page addresses the subject.
The one clause that might be mistaken for it is the warranty disclaimer at 11.3, which disclaims accuracy of results; that allocates risk for defective performance and engages no professional responsibility question, and it is graded on AI Liability and Recourse. The absence is more pointed here than on a comparable record because the vendor markets the product to sales and procurement teams as usable without the need for external support, which is the setting in which ethics guidance would most matter.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.
Savings are the frame throughout and nothing addresses what happens to the bill when the work compresses. The published claims are quantified and prominent: more than a fifty per cent reduction in legal costs per contract review, more than a seventy-five per cent increase in speed to close, contracts signed in as little as one day rather than weeks, and blog material claiming a reduction in review time of more than ninety per cent.
Those are savings claims addressed to the buyer's own cost base, which is what this value records. What the signal asks is whether the vendor addresses what happens to the bill when a task that took six hours takes one, and nothing does. There is no per-matter record of AI-assisted work, no artefact a firm could put in front of a client, and no guidance on fee or disclosure treatment where the technology has compressed billable time. audit-record and audit-record-and-guidance both require a per-matter record and neither is available.
The direction of sale is recorded because it shapes how the question lands: the named buyer segments include corporate legal, sales and procurement departments as well as law firms, and where the buyer is an in-house or commercial team the saving accrues to that organisation directly rather than passing through an invoice, so the question arises in its full form only for the law firm segment, where it is unaddressed.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
The material exists behind a request rather than on a page, which is what this value asserts, and unlike many rows at this value that is demonstrable rather than inferred. The published Data Processing Addendum states in terms that a list of third parties processing customer personal data is available on reasonable request, and surrounds it with a change-control mechanism stronger than most published lists carry: notification by email before engaging any new third party, thirty days for the customer to object, a good-faith resolution period, and a right to terminate the affected part of the service with a pro-rata refund if the objection cannot be resolved.
The addendum also commits the vendor to written agreements with third parties imposing compliant data protection terms and to remaining responsible for their performance. Two limbs of the higher values are unavailable. No list is published, so subprocessors-listed is false. And no model provider is named anywhere on the estate, so a firm cannot tell its client whose model sees its contract text; under the coverage test infrastructure alone never satisfies this signal, and Amazon Web Services is named only as the hosting environment.
One limit belongs on the record for a firm relying on this addendum for an EEA client: the transfer mechanism it incorporates is European Commission Decision C(2010)593, the controller-to-processor standard contractual clauses superseded by Decision 2021/914 in 2021, and the addendum separately defines Privacy Shield, invalidated in 2020, without using the term.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
No located public material addresses court disclosure or verification certification. Nothing on the estate discusses judicial standing orders on the use of artificial intelligence, no disclosure template or guidance is published, and no export produces a per-document record of the model used, the sources drawn on and the human verification applied. The value records what is locatable rather than a defect: the product is transactional, applying negotiation positions to commercial agreements before signature, and its output is a redline on a contract rather than a document filed with a court, so the question a standing order asks does not arise in the ordinary course of its use. partial-record was tested and declined.
The nearest thing located is the vendor's statement that its insights explain why particular contract language requires attention, which surfaces a rationale alongside each flagged passage; that is a review aid presented inside the workflow rather than an extractable record of model, sources and verification, and nothing published describes it as serving a disclosure purpose or shows it being produced as a record. The audit rights in the addendum were also considered and are a compliance mechanism for the customer's own assurance rather than a disclosure artefact for a court.