B
BlackBoiler

BlackBoiler is AI contract review software that applies a legal team's own negotiation standards to incoming contracts as first pass tracked changes in Microsoft Word. It turns material the organization already has, such as prior redlines, approved language, fallback positions and written playbook guidance, into executable playbook rules. It then marks up a new agreement against them and returns tracked changes and comments in the document the reviewer has open.

The lawyer decides what to accept, change, reject, escalate or negotiate, and the vendor says plainly that playbook coverage may be incomplete. The company holds eleven United States patents on document revision, playbook driven markup and clause handling. In June 2026 it launched Veris, a conversational layer in the Word add-in for building playbooks in plain language, revising provisions and questioning a clause against existing standards, with a check of each proposed edit before the lawyer sees it.

Buyers are in house legal teams, law firms and contract managers handling recurring agreements such as NDAs, service agreements and subcontracts, with an offering for construction contracting. Starter and Pro plans are sold online with a seven day trial; Enterprise is scoped. It states SOC 2 Type II certification and is hosted on Amazon Web Services.

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BlackBoiler, head to head

Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.

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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.

AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

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.

The product is an automated contract editing engine. It converts an organization's prior redlines, approved language and written guidance into executable playbook rules, applies them to a new agreement, and returns tracked changes and comments in Microsoft Word. There is no repository, workflow or signature product underneath that would work without the models. The June 2026 Veris release adds a generative, conversational layer for building playbooks and questioning clauses on top of the patented rules based editing engine, and both parts make up the product. The company says eleven United States patents cover document revision, playbook driven markup and clause handling.

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

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.

The vendor describes a four stage chain: evidence (the customer's prior redlines, approved language and guidance), logic (how those become executable rules), checking (a judge validator that assesses whether a proposed change fits the intended outcome, plus statistical similarity checks), and output (tracked edits and comments for lawyer review). The earlier ContextAI feature shows, for each redline, the playbook rule that prompted it and earlier examples of the same edit in the organization, a trail a reviewer can open for every proposed change.

The vendor names failure modes: playbook coverage may be incomplete, contract language may depart from earlier examples, and unusual provisions may need a lawyer's fresh decision. The product cites no legal authority and has no citator; its output rests on the customer's own approved language, which is shown to the reviewer. No measured accuracy figure or test set is published.

Source: Vendor Published
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a lawyer checks it are all published: modes, thresholds, review surfaces, and the route a matter takes back to human judgment. A categorical limit on a named mode or tier, stating what its output may not be used for, meets the threshold limb without a number.

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.

The system runs the first pass markup alone, producing tracked changes and comments. It is constrained by the customer's approved playbook positions, which the customer reviews and approves before use. The review surface is Microsoft Word track changes in the document the reviewer already has open. The reviewer decides what to accept, change, reject, escalate or negotiate, and the vendor says new risks, exceptions and negotiation decisions are left to the right reviewer.

Nothing is applied to the agreement unless the reviewer accepts it, because the output is a proposal in tracked changes. Clause 3(b) of the Access Services Agreement says the same in contract terms: use of the Services is not a substitute for, and shall not replace, review and analysis by a lawyer. No marketing claims the system handles review on its own.

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

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.

Four testimonials are published, each attributed only to a first name and surname initial or to a verified user, in the style of review site content, and none gives an organization or a figure. The customer base is described in categories (AmLaw 25 law firms, Fortune 1000 organizations and several construction customers), but no customer is named anywhere and no case study, deployment figure or before and after measure is published.

A 2021 AI Breakthrough award, a National Science Foundation SBIR award and Virginia Innovation Partnership Corporation portfolio status are recognition and funding rather than production use. Clause 12(c) of the Access Services Agreement bars either party from any public statement mentioning the other without written approval, so naming customers would need a waiver from each.

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

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.

Under clause 7(b) the customer owns all contract data, training of third party foundation models is barred without customer authorization, and use of customer data is limited to configuring, improving, supporting and operating that customer's own use of the service. The vendor also says customer data is not used to train models shared with other customers. Data is isolated per customer, with dedicated instances available for enterprise deployments, access is limited to authorized staff with controls and logging, and data is encrypted in transit and at rest.

Mutual confidentiality runs five years, with trade secret protection lasting indefinitely. Privilege and work product are not addressed anywhere. No model provider is named, which leaves open whose model touches contract text and what that provider keeps.

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

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.

Clause 3(b) of the Access Services Agreement, headed Review of Outputs and No Legal Advice, says use of the Services is not a substitute for, and shall not replace, review and analysis by a lawyer. Supervision and competence are addressed. The vendor sells to contract managers and procurement staff who are not lawyers, and says directly that a lawyer reviews the redline before anything moves forward and handles exceptions, new risks and negotiation decisions.

The marketing never describes the product as giving advice; it consistently describes a first pass returned to a lawyer. BlackBoiler sets no jurisdiction limits for the service. The only geographic limit is a website terms clause limiting site use to United States residents, which covers the website, not the service.

Source: Vendor Published
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

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.

No AI governance position is published. Nobody is named as accountable for AI governance, no testing before release is described, no evaluation results are disclosed, and nothing addresses uneven output across contract types, counterparties or drafting styles. There is no responsible AI page, principles statement, model card, AI policy, ISO 42001 certification or outside governance assessment. The vendor does describe validation tools: a judge validator that checks alignment with the intended outcome, and statistical similarity checks. Those check individual outputs; nothing describes how the vendor builds, tests and answers for its models.

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

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.

Customer data is kept for the length of the customer relationship unless agreed otherwise, and can be deleted at contract end or earlier on request. Access control is described in two documents. Access is limited to authorized staff who need it, with access controls and logging, and infrastructure access is secured by VPN, secure tokens and IP allowlists issued only to approved employees. Encryption is AES256 at rest and TLS in transit, backups are encrypted, and clause 7(b) confirms the customer owns its data and the vendor will not sell it.

No subprocessor list is published, with only Amazon Web Services for hosting and Stripe for payments named, and no incident or breach notification practice appears anywhere. The vendor also discloses that individual client files may sometimes be downloaded temporarily onto an employee's encrypted hard drive for testing. No retention period is stated.

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

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.

Clause 9(a) of the Access Services Agreement covers third party claims that the Services infringe or misappropriate United States intellectual property, with the vendor controlling the defense and able to modify, replace or terminate. Clause 9(a)(iii) carves out unauthorized combinations, customer changes, Customer Data and Third Party Products. Clause 10 caps total liability at amounts paid or payable in the twelve months before the claim, with exceptions for breach of confidentiality, IP infringement, customer payment obligations and breach of the use restrictions.

The agreement is explicit that output errors are the customer's risk. The IP indemnity does not reach output quality, clause 8 disclaims all warranties, and clause 3(b) defines the risk of relying on any edit, redline, comment, summary, suggestion or analysis as Customer's Assumed Risks. Clause 9(b)(ii) requires the customer to indemnify the vendor against third party claims arising from those risks. No insurance is mentioned.

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

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.

The Microsoft Word add-in is the delivery surface. Review runs inside Word without moving to a separate tool, the playbook is chosen in the document, and output comes back as native tracked changes and comments for the reviewer to accept, change or reject. Single sign on and API access are listed as enterprise features, with nothing on what the API exposes or what a firm must configure. No document management, contract lifecycle or electronic signature platform is named as an integration partner.

The vendor positions itself as sitting alongside a CLM where the CLM leaves a gap, and as handing back to the customer's existing process, but names no connection.

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

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.

The vendor says it uses isolation measures specific to each customer to keep customer data separate, that enterprise deployments may include dedicated customer instances and data separation controls, and that data is held in a silo open only to the client and necessary vendor staff. The service runs on Amazon Web Services, with production, staging and development all in AWS. No region is named, no choice of region is offered, no European or other non United States option is described, and processing location is not distinguished from storage. The vendor says expressly that it does not publish detailed architecture or infrastructure information.

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

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.

Two pages claim SOC 2 Type II certification. No auditor, audit period, report date or scope is published, and no other certification is claimed: no ISO 27001, HIPAA attestation or public penetration test summary. The report is available to prospective customers on request through the sales or security review process. Further security materials and completed questionnaires are kept for enterprise evaluations, while team and individual subscribers are pointed to the public page.

That public Security and Trust page has a seventeen question FAQ covering hosting, encryption, isolation, access, retention, deletion, backups and authentication, and carries no reports, dates or covered standards.

Source: Vendor Published
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

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 generative AI throughout, and no model, provider or architecture is described beyond the four stage evidence, logic, checking and output framing. Clause 7(b) of the agreement allows Customer Data to be processed using third party infrastructure, technology and AI services, and separately bars training third party foundation models without customer authorization. So third party models are in the supply chain under the contract, and nothing identifies them.

The Third Party Products definition gives only a generic example. Amazon Web Services is named, but as infrastructure, which says where a model runs, not whose it is. Stripe is a payment processor that never touches contract content and is routed outside the Word add-in and the conversational interface. No commitment to notify customers of a model change is published.

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

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.

BlackBoiler charges $125 per user per month for Starter or $1,250 per user per year with annual billing. Starter includes two playbooks and 25 monthly contract uploads. Pro costs $300 per user per month or $3,000 per year and adds five playbooks per user, 100 monthly uploads, analytics, administration and multifactor authentication. Enterprise has custom pricing for unlimited contract volume, single sign on, API access, playbook help, onboarding and negotiated service terms.

A seven day trial requires a payment card and converts to the chosen subscription unless canceled. Setup charges for the larger deployment remain part of the enterprise quote.

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

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.

Three buyer segments each have their own stated position: in house legal teams reviewing the same agreement types at volume, law firms applying set positions across client matters, and contract managers applying standards the legal team has already set. One industry has a dedicated page, construction and AEC contracting, supported by a claim of several construction customers. NDAs, service agreements and subcontracts are the recurring types the product is built for, with more complex contracts in scope subject to playbook coverage.

The vendor states the product's limit: how useful it is depends on playbook coverage, the language and context of the agreement, and lawyer review. Practice areas are not addressed, since coverage is by agreement type and industry, and government use is not described; a United States Government Rights clause in the agreement concerns license rights, not coverage.

Source: Vendor Published
Sources on file

4 public documents

The public pages on file for BlackBoiler, 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.

  • Primary Law Corpus Provenance, Good Law Verification, Refusal and Uncertainty Behavior and 2 more

    Read Oct 15, 2026

  • Prompt and Output Retention, Ethical Walls and Matter Segregation, Outside Counsel Guideline Readiness

    Read Oct 15, 2026

  • Client Data in Training, Third Party Request and Subpoena Notice, Bar Guidance Alignment

    Read Oct 15, 2026

  • Billing and Fee Posture

    Read Sep 8, 2026

Pricing

From $125 per user/month

USD, as published, never converted
  • Starter costs $125 per person each month.
  • Annual Starter billing costs $1,250 per person for a year.
  • Starter gives each user two playbooks and a monthly allowance of 25 uploads.
  • Pro costs $300 monthly or $3,000 annually per person, with higher limits.
  • Enterprise needs a quote.
  • The seven day trial becomes a paid subscription unless canceled.

Starter costs $125 per user per month or $1,250 per user per year with annual billing. It includes two playbooks and 25 contract uploads a month. Pro costs $300 per user per month or $3,000 per user per year and includes five playbooks per user, 100 monthly uploads, analytics, administrative controls, MFA and priority support. Enterprise is priced separately for unlimited volume, SSO, API access, playbook services and onboarding. A seven day trial requires a payment card and converts automatically unless canceled.

Note: Monthly and annual subscriptions have separately stated rates. Enterprise deployment, onboarding and custom service terms require a quote; no separate implementation amount accompanies Starter or Pro.

Legal Signals

What each signal means

A 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.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Permitted, in the contract

The published agreement expressly reserves a right to train on customer content, with no opt out located. Any de identification, anonymization or aggregation qualifier is recorded in the summary.

The Access Services Agreement permits customer content to configure, improve, support and operate that customer's own use of BlackBoiler. Training third party foundation models requires separate authorization, and the security position excludes models shared with other customers. The own customer improvement permission is broader than that foundation model restriction. It does not require a separate opt in for every improvement use, and should not be read as a blanket prohibition on learning from contract content.

Source: Vendor Publishedto configure, improve, support, and operate Customer's own use of the Services.As of Oct 15, 2026Evidence

Prompt and Output Retention

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

Disclosed without a period

Retention is acknowledged in public materials with no stated period.

The security page says data is kept for the length of the customer relationship unless agreed otherwise, with no period stated, and may be deleted at contract end or earlier on request. Deletion requests are handled subject to legal, security, backup and operational requirements. Clause 7(b) of the agreement also lets the vendor use and keep customer data to configure, improve, support and operate that customer's own use of the service, again with no period.

Deletion is a request the vendor processes under its own practices, not a setting the customer controls. The legal, security, backup and operational conditions on deletion have no stated limit, and nothing says how long backup copies last after a deletion request. Termination duties run one way: clause 11(c) requires the customer to delete or destroy the vendor's property and certify it in writing, with no matching duty on the vendor to delete customer data.

Source: Vendor PublishedBlackBoiler retains customer data for the duration of the customer relationship unless otherwise agreed.As of Sep 8, 2026Evidence

Ethical Walls and Matter Segregation

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

Not addressed

No located public material addresses walls or matter level segregation.

BlackBoiler separates customer data and offers dedicated instances and additional separation controls in enterprise deployments. Necessary vendor staff may access a customer's environment under authorization and logging controls. These protections distinguish one customer from another. They do not describe ethical walls among client matters within the same law firm or a retrieval connection that inherits a document management system's individual user permissions.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Third Party Request and Subpoena Notice

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

Notice committed

Terms commit to notice where lawfully permitted. No transparency report located.

Section 6 of the Access Services Agreement allows disclosure of confidential information only as far as needed to comply with a court or government order or applicable law. It conditions that on the disclosing party first giving written notice and the chance to obtain a protective order. The commitment is mutual and is a condition on the right to disclose, not a statement of practice. No transparency report or count of requests is published, and no separate data processing addendum is published.

The commitment covers confidential information as defined in section 6, and the agreement does not separately address requests aimed at customer data, though customer data submitted under the agreement would normally fall within that definition.

Source: Vendor Publishedshall first have given written notice and the opportunity to obtain a protective order, to the other PartyAs of Sep 8, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

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

Sources named, basis unstated

Sources are identified without stating the license or rights basis.

The editing engine uses the customer's earlier redlines, approved language and written guidance to build executable playbooks. ContextAI links a proposed edit to its playbook rule and examples from the organization's prior work. These are identified sources for a contract review rather than a licensed case law collection. The service does not give a separate inventory of foundational training corpora or the license terms of any underlying model provider.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Good Law Verification

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

Not addressed

No located public material addresses whether authority is checked for subsequent history.

The product cites no authority. It proposes contract language against the customer's own approved positions and returns tracked changes in Microsoft Word; it does not retrieve cases or statutes, show citations or include a citator. What the product does check is different: the vendor describes a judge validator that assesses whether a proposed edit fits the intended outcome, plus statistical similarity checks against the customer's earlier examples, before the edit reaches the lawyer. That checks a proposed edit against the customer's standards, not legal authority against later history.

Source: Vendor PublishedAs of Sep 8, 2026Evidence

Refusal and Uncertainty Behavior

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

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

BlackBoiler warns that incomplete playbooks, unfamiliar language and unusual provisions can require a lawyer's fresh decision. Its first pass produces proposed Word changes and comments that a reviewer can accept, change, reject or escalate. Those review choices belong to the reviewer, not to an automatic refusal by the engine when support is insufficient. BlackBoiler describes no defined no answer response and no confidence threshold that forces the editing engine to escalate.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Fabricated Citation Record

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

None located

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.

The AI Hallucination Cases database contains no tool entry naming BlackBoiler or Veris as of October 15, 2026. BlackBoiler's output is a proposed contract redline supported by customer playbooks and prior edits, rather than a brief prepared for filing. That narrower workflow still comes with no error rate. The database result concerns named court matters and does not certify the correctness of proposed edits.

Source: Vendor PublishedAs of Oct 15, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

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

Generic reference

Public materials refer to professional responsibility in general terms without naming guidance.

Clause 3(b) of the customer agreement says use of the service is not a substitute for, and shall not replace, review and analysis by a lawyer. The public FAQ addresses competence and supervision directly. It says nonlawyers can apply standards the organization has set, but a lawyer reviews the redline before anything moves forward and handles exceptions, new risks and negotiation decisions. No named authority is engaged.

No bar ethics opinion is cited, no bar guidance is discussed, no regulator is named, and nothing maps the product to the conduct rules its buyers follow.

Source: Vendor PublishedAs of Sep 8, 2026Evidence

Billing and Fee Posture

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

Savings claims only

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.

The vendor invites a buyer to weigh its subscription against how review is done today, citing internal reviewer time, repeated manual markup, outside counsel spend and available capacity. Its wider material says the software takes on the repeatable first pass to save time. That is a claim about the buyer's own costs. There is no record of AI assisted work by matter, nothing a firm could show a client, and no guidance on fee or disclosure treatment where AI has compressed billable time.

The buyer may be an in house team, a law firm or a contract manager. For an in house team the saving stays with the organization rather than passing through an invoice. For a law firm applying set positions across client matters, fee treatment is not addressed.

Source: Vendor PublishedAs of Sep 8, 2026Evidence

Outside Counsel Guideline Readiness

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

Not addressed

No located public material supports a client side disclosure obligation.

No subprocessor list is published, and nothing says which model providers see client content. Clause 7(b) of the vendor's own agreement allows customer data to be processed using third party AI services and separately restricts training of third party foundation models, so third parties are in the chain and none is named. The named AWS hosting arrangement does not identify the language model suppliers handling a client's content.

Stripe is a payment processor that never touches contract content. No data processing addendum, AI disclosure pack, consent or notice template, or commitment to notify customers of subprocessor changes is published, and nothing says a subprocessor list or model provider statement is available on request. The security review process offers security materials and questionnaire answers.

Source: Vendor PublishedAs of Sep 8, 2026Evidence

Court Disclosure Support

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

Not addressed

No located public material addresses court disclosure or verification certification.

Nothing published addresses court disclosure or verification certification. Nothing discusses court standing orders on AI use, no disclosure template or guidance is published, and no export gives the kind of record such an order would require. The product is transactional: it applies negotiation standards to commercial agreements before signature, and its output is a contract redline, not a court filing, so the question does not normally arise.

One element of such a record does exist. The vendor says each proposed edit can be traced to the playbook rule that produced it and to earlier examples of the same edit in the organization. That trail is a review aid inside the document, not an exportable record of model, sources and human verification, and nothing published presents it for disclosure.

Source: Vendor PublishedAs of Sep 8, 2026Evidence
Contact

Correct a record, or ask how something was graded

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

AI Legal Index

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

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