N
Novo
Novo drafts the two documents that carry a personal injury claim through the stage before litigation: the medical chronology and the demand letter. A firm uploads a client's medical records, and Novo turns them into a structured timeline of each injury, treatment and medical event. It then drafts a demand letter from that chronology, written to set out liability and account for every element of damages. The vendor says both take minutes rather than hours or days, and publishes a figure of five and a half hours saved per case.
The output is a draft that the firm edits. The terms place the duty to review, revise and proofread everything on the lawyer, and require advice from a licensed attorney before acting on it. Novo names CASEpeer, Smokeball, SmartAdvocate and MyCase as case management integration partners. It publishes a list of the providers behind the product, naming OpenAI and Anthropic as its AI services and Google and Tesseract for optical character recognition. Firms can start on a free plan, and the service is offered only in the United States.
Novo, 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.
Alternatives to Novo
Vendors in the same categories as Novo whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- AAI Demand ProAI Demand Pro is personal injury settlement demand software from AI Demand Pro, Inc. of Costa Mesa, California, built by personal injury attorneys for personal injury firms.
- CCloudLexCloudLex is case management software built only for plaintiff personal injury firms in the United States, covering a case from intake to settlement.
- EEsquireTekEsquireTek is a written discovery platform and service from EsquireTek, Inc. of San Diego, built for plaintiff trial lawyers, litigation firms and corporate legal teams.
- LLawPro.aiLawPro.ai reads the medical file on a personal injury case and turns it into the documents a firm builds a claim from.
- NNeosNeos is cloud case management software built for plaintiff personal injury firms.
- SSmartAdvocateSmartAdvocate is a case management platform for high volume contingency practices, offered as a hosted cloud service or as a server version a firm installs on its own infrastructure.
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
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.
The artificial intelligence is the product and nothing survives its removal. Novo sells two outputs, a medical chronology and a demand letter, both generated from uploaded records, and the whole estate is organized around exactly those two things: the navigation has two product pages and no others. There is no case management system, no document repository, no intake pipeline and no workflow layer underneath that a firm would still pay for; a buyer uploads records and receives drafts.
The terms confirm the architecture rather than leaving it to marketing, defining an AI Feature as any component of the services incorporating AI Technology and defining that as machine learning, deep learning, large language models and neural networks generating content from user prompts, and then defining the demand letters and chronologies created under the agreement as Outputs of an AI Feature.
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.
Completeness is asserted on the product pages and disclaimed in the agreement, and nothing is measured. The marketing claim is specific: the chronology captures every injury, treatment and medical event so a firm never misses a critical detail. No accuracy figure, test set, evaluation, error rate or statement of failure modes accompanies it, and no accuracy or benchmark page exists on the estate. Nothing describes grounding either.
No statement says whether an entry in a chronology cites the page of the record it came from, which is the control that would let a paralegal verify the output quickly. The agreement runs against the marketing and governs where they conflict. It provides the services as is with all faults, disclaims any warranty that they will achieve intended results or be free of errors, and makes it entirely the user's obligation to review, revise, edit and proofread all outputs for accuracy and completeness. A vendor cannot both promise that nothing is missed and require the buyer to check everything.
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 review point is written into the agreement rather than implied by marketing, and the rest of the control structure is missing. Section 16 states that it is entirely the user's obligation to review, revise, edit and proofread all outputs for accuracy and completeness. The user shall not act on an output, or decide not to act based on one, without first doing so and seeking counsel from an attorney licensed in the applicable jurisdiction.
It adds that outputs are for convenience and information and cannot be relied on to guarantee any outcome. That is a written commitment placing a supervising lawyer between the model and the client, and the review surface is real, since the deliverable is an editable draft the firm finishes. Nothing is published on the system's own side. Nothing describes what runs unattended, no confidence signal or uncertainty indicator is mentioned, nothing states how a firm should verify a chronology against the underlying records, and nothing addresses what happens when an output is wrong. The obligation is allocated, and the means of meeting it is not described.
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.
There are named customers without figures and figures without a named customer. Three testimonials carry full attribution: Tanya Hardin, a paralegal at Johnson Law, who reports the program cut her time by half; Chris Carsten, a partner at Armada Law; and Daniel Swenson, an attorney at Robert Wilson, who says settlement offers came back higher after adoption. None carries a measured figure beyond the halving claim, and none is dated.
Separately, the home page publishes five and a half hours saved per case. The company's February 2025 announcement states that early adopters cut total time on demand packages by more than 50 percent, with no firm named against either. One display element does not hold up. A logo wall says the product is trusted by lawyers and recognized by six organizations. They resolve to Best Lawyers in America, the Million Dollar Advocates Forum, Lawyers of Distinction, Premier Lawyers of America, the Top 100 National Trial Lawyers and Best Law Firms 2024.
Those are attorney award and directory marks, not recognition of this product. A row of Fox, CBS and BBC logos under a featured on heading links to no coverage.
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.
The privilege question is expressly addressed, and two other parts are missing. Section 14 defines confidential information to include, by name, any information protected by attorney client privilege and any sensitive or protected health information. It commits Novo to protect that information with at least a reasonable degree of care, to use it only to perform its obligations, and to restrict disclosure to those who need it.
The privacy policy repeats the commitment, stating that Novo will use industry standard security measures for privileged information and protected health information. Section 16 also has the customer warrant that it holds the rights and consents needed for privileged client data it uploads, so the agreement engages the question head on. The other side of the same document cuts against it. Section 7 reserves an unlimited license to use anonymized outputs to improve the services and to create training data, so privileged material is protected in one clause and used in anonymized form in another. Nothing describes separation between firms or walls at matter level, or what the named model providers retain.
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.
A real published position, with no engagement with the professional rules themselves. Section 16 states that the services and outputs are for convenience and information only, do not constitute legal advice, are not an offer to represent the user or their clients, and do not create an attorney client relationship. It goes further than a disclaimer by imposing conduct. The user must review, revise, edit and proofread every output, and must not act on an output or decline to act on one without first seeking counsel from an attorney licensed in the applicable jurisdiction.
It closes by stating that outputs cannot be relied on to guarantee any outcome in a matter. That is a coherent account of where the product stops, published where a buyer reads it before signing. What is absent is the professional layer. No bar association, rule of professional conduct or ethics opinion is named, nothing addresses the supervision and competence duties that attach when a machine drafts a demand, and nothing addresses what a client is told.
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 governance position of any kind is published. There is no responsible AI page, no principles statement, no accountable owner or function named, no testing regime before release, no management system and no certification. Nothing addresses uneven output, and the gap has a concrete shape on this product rather than a formal one: a demand letter is an argument about how much an injury is worth, and nothing published states whether the drafting has been examined for systematic variation across injury types, treatment histories, or the demographic characteristics that appear throughout a medical file.
The estate is small and was inventoried in full on 4 September 2026, comprising two product pages, a blog, a service providers page, terms of service and a privacy policy; none of them addresses governance.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Most of the ground is covered, and the retention period is the notable gap. Storage location is stated: the privacy policy confirms that data is held on Novo's servers in the United States and names what is stored, including account information, resultant data and training data. Rights of access, rectification, erasure, restriction, portability and objection are published with a process and a clock, exercised by email, with a best efforts response in forty five days that can be extended to ninety.
Incident practice is committed rather than implied, the policy stating that in the event of a breach Novo will notify by email or by a notice on the services. The supplier picture is disclosed by name, with a published service providers list naming eight companies and components. Two limits remain. No retention period is stated at all, the policy saying only that data is kept as long as necessary and that the length may vary.
And the commitment to anonymize data before it reaches the AI providers is qualified as best efforts rather than absolute.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The allocation of loss is published, readable before signing, and runs one way throughout. Section 16 provides the services as is and with all faults, disclaiming all warranties including merchantability, fitness for purpose and noninfringement, and expressly warranting nothing about meeting requirements, achieving intended results or being free of errors. Section 17 caps direct damages at the total amount paid in the six months before the event giving rise to the claim, and excludes lost profits, data loss and consequential damages entirely.
Section 18 runs the indemnity from the user to Novo, covering use or misuse of the services and breach of the terms; there is no indemnity from the vendor anywhere, not even for intellectual property. No warranty on output, no service credit, no insurance position and nothing addressing a chronology that omits a treatment or a demand that misstates damages is published. The exposure the product creates is addressed through a standard limitation clause that disclaims it rather than left unstated.
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.
Four case management systems are named on the vendor's own estate, and nothing published describes what moves between them. The home page carries CASEpeer, Smokeball, SmartAdvocate and MyCase under a heading identifying them as case management integration partners, presented as logos with no description, and a blog post announces integrations with MyCase and CASEpeer by title. That is a relevant set of systems for a plaintiff product.
What is missing is everything an implementer would use. There is no statement of what syncs, in which direction or on what trigger, no field mapping, no configuration guide, no API or developer documentation, and nothing about what a firm must do to connect the two systems. No document management, electronic signature or billing integration is named. The integrations announcement post was not opened and may say more.
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 residency question is answered plainly and the tenancy question is not. The privacy policy states that personal data about end users and visitors is stored in the United States, that the services are intended for use only inside the United States, and that a user in the European Economic Area or elsewhere consents to transfer of their data there. The terms reinforce it with a geographic restriction section stating that the services are based in the United States and provided only to persons located there.
That is a stated storage location, published where a buyer can read it. Against it, nothing states whether the platform is single tenant or multi tenant, no dedicated or isolated option appears at any tier, and no region choice is offered. The named infrastructure providers, Railway and Supabase, are listed on the service providers page, but no statement ties them to a region or describes the hosting arrangement.
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.
One badge, no scope, no date, no report. The home page displays a HIPAA compliance mark as an image, with no statement of what was assessed, by whom, over what period or against which controls, and the underlying asset filename misspells the statute. HIPAA is in any case a statutory regime under which a business associate attests to its own compliance, not an independent attestation. No business associate agreement is offered or mentioned anywhere, despite the product being built to ingest medical records.
No SOC 2 of either type, no ISO certification, no penetration test summary and no named auditor appears on the estate, and there is no trust center or security page, so there is nothing gated to request and this is an absence rather than a retrieval limit. What the vendor does publish in this territory is described in general terms only, the privacy policy referring to physical, electronic and managerial control procedures and to vetting of outsourced providers, without naming a single control. The estate was inventoried in full on 4 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 supply chain is disclosed by name on a dedicated published page, and stops short of the models themselves. The service providers page, incorporated into the terms by reference and reachable without an account, lists eight suppliers with links to each one's terms. GPT by OpenAI and Claude by Anthropic are the AI services used in the platform, Google OCR and the open source Tesseract engine handle optical character recognition, Railway provides infrastructure and deployment, Supabase is the backend platform, Gotenberg handles PDF conversion and Redis handles caching.
Both AI providers and the hosting layer are named. Three limits remain. The models are identified only by product family, as GPT and Claude, with no version stated, so a buyer cannot tell which model reads a medical file. The page states that the list is not exhaustive and may be updated as the platform evolves, with no notice commitment. And section 13 of the terms authorizes Novo to let third party providers process user data whether or not those providers are disclosed to the user or white labeled.
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. The site navigation carries only the two product pages and a blog, with no pricing page, and the two calls to action are a free draft and a booked demo. The only commercial statement on the marketing estate invites a buyer to start on a free plan and upgrade when ready. It names no paid tier, rate, unit or included volume, and says nothing about what the free plan contains or where it stops.
The terms describe payment mechanics without figures. Portions of the service may be offered free and certain features are charged, fees are payable in US dollars within thirty days of invoice, and late payment accrues interest at one and a half percent per month. Payments are final and not refundable, and Novo reserves the right to set, remove and revise prices at any time. The amounts themselves live in an order form the buyer sees only through a sales process. A buyer cannot establish whether the product is charged per user, per case, per document or per page.
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.
The segment is stated without ambiguity and one real boundary is drawn. Every surface addresses personal injury plaintiff practice, with the home page headlining the AI built for PI. The scope is narrower still: the stage before litigation, built around the demand package rather than the whole matter. The company's own announcement frames the market as the roughly eighteen million demand packages US personal injury firms send each year.
The terms name the users as law firms, attorneys and legal staff. A limit is published: the services are based in the United States and offered only to persons located there, so a buyer outside the country is told plainly that the product is not for them. The rest of the boundary is absent. No firm size is addressed, and nothing states whether the product suits mass tort, medical malpractice or workers compensation work as against motor vehicle claims.
No variation in demand practice by state or jurisdiction is discussed, and nothing says which record types or matter types it handles poorly.
4 public documents
The public pages on file for Novo, 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.
-
trynovo.com/terms-of-service3 signals
Client Data in Training, Ethical Walls and Matter Segregation, Third Party Request and Subpoena Notice
Read Sep 4, 2026
-
Fabricated Citation Record
Read Sep 4, 2026
-
trynovo.com/privacy-policy1 signal
Prompt and Output Retention
Read Sep 4, 2026
-
trynovo.com/service-providers1 signal
Outside Counsel Guideline Readiness
Read Sep 4, 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?
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 published agreement names training expressly and reserves the right in two places. Section 1 defines Training Data as any content used to train, validate, test, retrain or improve any AI Technology incorporated into or used with the services, except user data that has not been anonymized, and folds it into Novo Materials. Section 7 has the user unconditionally and irrevocably assign all right, title and interest in Resultant Data and Training Data to Novo.
It states that Novo may use the user's data to create them, and grants Novo an unlimited license to use any anonymized outputs to improve the services, including the creation of training data. The privacy policy confirms that training data is stored on Novo's servers. No opt out, configuration setting or enterprise exception was located. Anonymization is the operative limit and does not cure the point. User data that has not been anonymized is excluded, so the right runs to anonymized derivatives of material that includes medical records and, under section 16, data protected by attorney client privilege.
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 acknowledged in the published policy and no period is stated. The privacy policy answers the question under its own heading, saying only that personal data is kept for as long as necessary to fulfill the purposes for which it was collected and that the length may vary with the nature of the relationship. No period, configuration option or maximum appears, and nothing separately addresses how long uploaded medical records, generated chronologies, drafted demand letters or the prompts behind them are held.
What is published alongside it is more specific and points the other way. The policy states that Novo stores resultant data and training data on its servers, and the terms assign those to Novo outright, so the anonymized derivatives of a matter are expressly kept rather than deleted. A user can request erasure by email, with a forty five day response window that can be extended to ninety, which is a route rather than a retention period.
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.
Tenancy and matter level walls go undescribed, despite explicit confidentiality terms. The confidentiality regime in section 14 is explicit about the sensitivity of what is held, naming privileged information and protected health information as confidential and limiting who inside the receiving party may see it. That governs disclosure obligations rather than how one firm's records are partitioned from another's. Nothing states whether the platform is single tenant or multi tenant, no permission or role model inside a firm's workspace is described, and walls at matter level are not addressed.
The named backend provider, Supabase, is disclosed on the service providers page without any statement about how tenancy is arranged on it. Searched the terms of service, the privacy policy, the service providers page, both product pages and the home page on 4 September 2026.
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.
A notice commitment sits in the confidentiality section of the agreement, and a broader sharing provision in the privacy policy carries none. Section 14 provides that where Novo is required by law or legal process to disclose confidential information, it shall, before disclosing, use commercially reasonable efforts to notify the disclosing party so that party may seek a protective order or other remedy at its own cost.
That reaches client material, because the same section defines confidential information to include privileged and protected health information. The privacy policy separately provides that Novo may share information where it believes in good faith that sharing is reasonably necessary to investigate or prevent possible illegal activity or to comply with legal process. It names law enforcement, government agencies and courts, with no notice commitment attached.
The two provisions govern different objects, client confidential material in one and end user personal data in the other, and a buyer should read both.
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.
Only the OCR layer and the client's own records sit behind the output, so the question does not bite on this product class. The material the models work on is the firm's own client's medical records, uploaded for the matter; the product does not retrieve or present legal content, so there is no case law source, statutory database, publisher or licensed reference set behind a chronology or a demand letter. The nearest published fact concerns the pipeline rather than a corpus: the service providers page names Tesseract and Google OCR as the optical character recognition layer that reads the uploaded documents.
Recorded as the honest absence rather than a finding against the vendor. Searched both product pages, the terms, the privacy policy and the service providers page on 4 September 2026.
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.
Nothing addresses checking authority for subsequent history, and the product neither retrieves nor cites primary law. Its outputs are medical chronologies and demand letters drawn from the client's own records; where a demand letter refers to legal standards it does so in the firm's own template language rather than by citing authority the product retrieved, and nothing published describes any legal source being consulted. Searched both product pages, the home page, the terms and the privacy policy on 4 September 2026.
Refusal and Uncertainty Behavior
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.
Illegible or incomplete records meet no described abstention, only a claim that nothing is missed. There is no abstention path, no state for declining to answer, and no confidence or completeness score shown to the user. Nothing covers behavior where a medical record is illegible, incomplete, internally inconsistent or outside the injury types the system handles well, which is the ordinary condition of a personal injury file.
The marketing runs the other way, claiming that the chronology captures every injury, treatment and medical event so that nothing critical is missed, which asserts completeness rather than describing a limit. The agreement treats the same ground as an allocation of responsibility. It disclaims any warranty that the services will achieve intended results or be free of errors and makes the user responsible for proofreading every output, which places the burden without describing a behavior. Searched both product pages, the home page, the terms and the privacy policy on 4 September 2026.
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.
The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on the product name Novo and on the corporate name Legal Tools & Technology Inc. No court order, opinion or disciplinary record naming the product or the company was located. This records the state of the public record on that date and is not a finding about the product.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
A machine drafted demand framing a client's claim gets no grounding in any ethics rule. No bar association, rule of professional conduct, ethics opinion or guidance specific to a jurisdiction is named or referred to in general terms, and nothing maps a lawyer's obligations when a machine drafts the demand that frames a client's claim. The agreement does require the user to seek counsel from an attorney licensed in the applicable jurisdiction before acting on an output.
That acknowledges that jurisdiction matters without identifying a single rule or authority, and it is a position on where advice begins rather than engagement with bar guidance. Nothing addresses supervision, competence, candor to an opposing party or what a client is told about automated drafting. Searched the terms, the privacy policy, both product pages and the blog index on 4 September 2026.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
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.
Time savings are published and nothing addresses the billing consequence. The site carries five and a half hours saved per case, a paralegal's account of the work being cut by half, and the company's own announcement that early adopters reduced total time on demand packages by more than fifty percent, framed throughout as freeing staff for more valuable work. No record of AI assisted work for each matter is offered to a firm, and no guidance on fee or disclosure treatment is published.
Nothing states whether a client should be told that a machine drafted the demand advancing their claim. The direction matters because the compression is large and the buyer is a contingency fee practice. The saved hours convert into firm margin or case volume rather than a smaller bill, and the vendor's own framing is settlement speed and throughput.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
A current provider list, open without an account, names the AI companies that see client content, but there is no disclosure pack a firm could forward. The service providers page is incorporated into the terms by reference and names eight suppliers with links to each one's commercial terms. They include GPT by OpenAI and Claude by Anthropic as the AI services used in the platform, Google OCR and Tesseract for reading documents, and Railway, Supabase, Gotenberg and Redis.
A firm can therefore tell a client which companies process its material and read those companies' own terms. No data processing addendum, business associate agreement or client notification pack is published or offered on request, so there is nothing drafted to be forwarded. Two published qualifications weaken the list itself. The page states that it is not exhaustive and may be updated as the platform evolves, and section 13 of the terms authorizes Novo to let third party providers process user data whether or not those providers are disclosed to the user or white labeled.
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.
Demand letters and chronologies leave no record of the model, the source records or the lawyer's edits. Nothing describes an export covering which model produced a chronology or a demand, which records it drew on, or what the reviewing lawyer changed, and nothing marks any part of an output as machine generated. No disclosure template or guidance is published. The agreement touches the surrounding questions without answering this one.
It assigns ownership of inputs and outputs to the user and requires the user to review, revise and proofread every output, but no artifact shows that review happened. The gap is live on this product. A demand letter and its chronology are the documents an adjuster and, if the matter does not settle, an opposing party will scrutinize, and a firm asked whether and how AI was used in preparing them has nothing published to work from. Searched the terms, the privacy policy, both product pages and the service providers page on 4 September 2026.