Novo vs Precedent: how they compare in 2026
Novo and Precedent both draft personal injury demand letters and medical chronologies from a client's records, for plaintiff firms working toward settlement. Precedent sits in the top two bands on twelve of fifteen axes and Novo on nine of fifteen, identical on seven. Precedent's lead is verification and terms. Every medical fact in its demand links to the source page, its own reviewers check each draft, and a demand costs a flat $275. It states SOC 2 Type II, offers a business associate agreement and connects to Clio, SmartAdvocate and Litify. Its site says there are no contracts, while its agreement renews for a year with a 7 percent increase unless canceled. Novo's lead is naming who reads the file. Its service providers page names OpenAI and Anthropic, and its terms state that output is not legal advice. Its terms also let it turn anonymized outputs into training data. Novo publishes no price.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
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. Checked 4 September 2026.
The models are the engine of a core capability, layered on a service platform that would still function without them. What would survive their removal is substantial and separately saleable: Claim Setup submits claims to carriers and returns verified policy limits, an automatically generated letter of representation notifies the insurer, Record Retrieval requests and tracks medical records, and Policy Verify establishes coverage. Those are operational services with a human and workflow core, and the vendor presents them as the first three of four steps before AI enters. What the models power is the fourth step and the flagship: Demand Composer drafts the demand package from the case documents, MedChron builds medical chronologies, Global Demand generates multi-plaintiff packages, Exhibit Manager categorizes, describes and renames incoming files automatically, Case Intelligence analyses and benchmarks demands, Adjuster Intelligence predicts adjuster tactics, and Ask Casey is a voice assistant. Medical billing is broken to CPT-code level. A is unavailable because a buyer could purchase the claim setup, policy verification and records side and receive a working service, and because the vendor itself describes trained expert reviewers as part of the production path rather than the models alone. 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.
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 failure-mode statement 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 carries a citation back to the page of the record it came from, which is the single control that would let a paralegal verify the output at speed. The agreement runs directly against the marketing and governs where they conflict, providing the services as is with all faults, disclaiming any warranty that they will achieve intended results or be error-free, and making 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; the gap between those two sentences is the finding here.
Grounding is real, documented and verifiable by the reader, short of A on the limbs asking for measurement and named failure modes. The architecture is described rather than asserted: what the vendor calls a Closed Loop means every medical fact, diagnosis and billing code in a demand letter is hyperlinked directly to the source page in the raw medical record, and the vendor puts the point plainly, telling a buyer they do not have to trust the AI because they can click the citation and see the source document. That is linked primary sources in the idiom that matters here, the primary source being the medical record the demand rests on. A second control is published: trained expert reviewers check every draft for narrative logic and factual integrity before the firm receives it. A tension on the same page is recorded rather than resolved in the vendor's favor, because it is the most informative thing on this axis. The section is headed Zero Hallucinations, and a system with zero hallucinations would not need a review team checking factual integrity before delivery. Rule 2 the conflict is not itself the grade; what it shows is that the accuracy assurance rests on source-linking and human review rather than on model behavior, which is a sound architecture and is not what the headline claims. The index's rule governs the floor: the bare-claim limb does not fire where real architectural controls stand behind the claim. A is unavailable because no measured accuracy figure, test set or method is published anywhere and no failure mode is named. 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.
The review point is written into the agreement rather than implied by marketing, which is unusual, 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, and that the user shall not act upon an output, or decide not to act based upon one, without first doing so and seeking professional counsel from an attorney licensed in the applicable jurisdiction. It adds that outputs are for convenience and informational purposes 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. What is absent is everything 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; the mechanism for discharging it is not described.
A written commitment that the models work alongside human review, with real review surfaces, short of the full control structure. Two review stages are published and both are specific. The vendor's own trained expert reviewers check the output for narrative logic and factual integrity before the firm ever sees the draft, which is an oversight step inside the vendor rather than an obligation pushed onto the buyer, and it is unusual in this corpus. The attorney then receives a draft the vendor describes as ready for review, and the verification surface is concrete: any medical fact can be clicked through to its source page in the record, so checking the output is a designed workflow rather than an instruction. Role-based access adds a further control over who inside the firm touches what. What is missing is the rest of the structure. No mode is described, no threshold is stated at which the system stops or escalates, and nothing published says what happens when the output is wrong or what recourse follows. The Closed Loop is named as an architecture rather than described as a control with limits. A requires modes, thresholds, review surfaces and the route back to human judgment all published; two of the four are here. 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.
Named customers without figures alongside figures without a named customer, which is this band exactly. 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, and the company's own 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 survive inspection and is recorded because a reader who checks will find it: a logo wall headed that the product is trusted by lawyers and recognized by six organizations, which 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 recognitions of this product. A separate row of Fox, CBS and BBC logos under a featured-on heading links to no coverage.
Real deployment evidence with substance, held off A by what could not be verified rather than by what is missing. Published: a named case study with Hines Law Firm reporting settlements up 16 percent and the likelihood of tenders up 71 percent, stated to be measured across hundreds of personal injury cases; named customer logos including Catania, Rodden, Lerner and Rowe, Dubin Law, Ramos Law and Sand Law; and attributed testimonials carrying both a person and a role, among them a Personal Injury Director at Hines Law describing drafting thirteen demands in a day, a firm COO, and a partner. Aggregate figures are published alongside: more than 100 law firms, more than 50,000 demands sent, a 95 percent retention rate and a 4.7 star rating. A named customer with figures attached would ordinarily reach for A. Two things hold it at B. The case study page was not opened, so the method behind the 16 and 71 percent figures, the comparison basis and the period are unestablished, and A requires a method a reader can assess. And the vendor's own surfaces disagree on the headline number: the home page banner claims 25 percent higher settlements while the case study it links to reports 16 percent, with nothing reconciling them. That discrepancy is named here rather than left for a reader to find, and the aggregate claims carry no stated basis. 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.
The privilege limb is expressly present, which is rare, and two other limbs 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, and commits Novo to protect it 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 employ industry standard security measures for information protected by attorney-client privilege 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 rather than skirting it. What holds it here is the other side of the same document. 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 mined in anonymized form in another. And nothing anywhere describes separation between firms or matter-level walls, or what the named model providers retain.
Substantive published commitments across most of the ground, held at B by the limb the index's rule makes mandatory. Published and readable before signing: each firm's data is logically isolated with case files described as held in their own private vault; role-based access assigns permissions to partners, paralegals and case managers so staff reach only relevant files; encryption is AES-256 at rest and TLS 1.2 or better in transit with perfect forward secrecy; all processing and storage occur within the United States; the firm owns its data, controls retention through provided tooling, and can have raw data permanently purged within thirty days of a request; and client case files are stated not to be used to train models or shared across clients. The Master Service Agreement puts Protected Health Information inside the definition of Confidential Information, binds both parties to strict confidence surviving termination, requires subcontractors to be bound, and commits to HIPAA-compliant handling with a business associate agreement available. For a product ingesting a claimant's complete medical file that combination is materially stronger than most of this lane. A is unavailable on two limbs. Privilege and work product are addressed nowhere, expressly or by implication, which forecloses A on its own. And no position is stated on what an underlying model provider may retain, because no model provider is named anywhere. 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. 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, more specific than most, with no engagement with the professional rules themselves. Section 16 states that the services and outputs are for convenience and informational purposes 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.
This record sits in a documented gap between the C and D bands, and the grade is the band nearest the buyer's position with the gap stated rather than hidden. Neither C limb is literally true. There is no boilerplate advice disclaimer in the terms, the Master Service Agreement containing no statement that the service is not legal advice; the marketing does not describe the product in advice terms, presenting it as a drafting and workflow service; and the intended audience is not ambiguous, the product being sold exclusively to plaintiff personal injury law firms. D's words are literally true, since nothing published states the advice line. But D describes a vendor that has said nothing about professional responsibility, and that is not this record. The workflow is published as routing every draft through the vendor's expert reviewers and then to the attorney as a draft ready for review, so review by the lawyer is designed in and stated. And the vendor publishes a substantive article on the professional conduct dimensions of using its own services, engaging ABA Model Rules 1.5 and 1.8, mapping requirements across six named states, and telling firms their technology use must not compromise duties of loyalty and communication. What is absent is the specific statement this axis asks for: what the product is and is not, who may rely on it, and how it supports competence and supervision. Jurisdiction limits are not named either. A proposed band amendment is logged rather than escalated. Checked 8 September 2026.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
No governance position of any kind was located. There is no responsible AI page, no principles statement, no accountable owner or function named, no pre-release testing regime, 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.
No governance position is published for a system that drafts the document a claimant's recovery is negotiated from. Nothing identifies who inside the vendor is accountable for the models, no pre-release testing or evaluation regime is described, no results are disclosed, no policy or principles statement exists, no certification such as ISO 42001 is claimed, and nothing addresses uneven output across injury types, treatment patterns, jurisdictions or claimant demographics, which is where bias would bite hardest on a product that values a claim. The security page does carry a section headed AI Safety, and it is real content rather than a badge, which is why the C band was tested carefully. C describes responsible AI principles published without a mechanism; this vendor publishes the inverse, a mechanism without principles, so C's words are false of it. The mechanism itself, the Closed Loop architecture with hyperlinked citations and expert reviewers, is graded on Citation Accuracy and on Autonomy where it answers those bands directly, and under the no-double-spend rule it cannot also stand as a governance position. Product quality control and AI governance are different questions: one is about whether this output is right, the other about who is answerable for how the system is built, tested and corrected. Only the first is published. 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.
Most of the ground is covered, with the retention period the notable hole. Storage location is stated, the privacy policy confirming that data is held on Novo's servers within the United States and naming what is stored, including account information, resultant data and training data. Deletion and access rights are published with a process and a clock: access, rectification, erasure, restriction, portability and objection, exercised by email, with a best-efforts response in forty-five days extendable 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 rather than described in categories, with a published service providers list naming eight named companies and components. Two limits keep this off the top. 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 anonymization commitment before data reaches the AI providers is qualified as best efforts rather than absolute.
Substantive published policy covering most of the ground, short of the full set in the two ways the B band names. Published and specific: retention is customer-controlled rather than a fixed vendor window, with tooling provided so a firm can apply its own retention policy and permanent deletion options available; offboarding is stated concretely, with all generated work product downloadable and raw data permanently purged within thirty days of a request; access control is described at the level a firm operates, with logical tenant isolation and role-based permissions for partners, paralegals and case managers; encryption is AES-256 at rest and TLS 1.2 or better in transit with perfect forward secrecy; all processing and storage are within the United States; and the training position is stated plainly, with case files used only to produce that case's demand package and never shared across clients or used for model improvement. HIPAA-compliant architecture and an available business associate agreement matter here because the product ingests complete medical files. Two elements are absent and they are exactly the B band's named shortfalls. No subprocessor is named anywhere, so a firm cannot enumerate who touches a claimant's records. And no incident or breach notification practice is published on any surface, which is a conspicuous gap for a HIPAA-facing platform whose agreement is otherwise detailed. 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.
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 non-infringement, and expressly warranting nothing about meeting requirements, achieving intended results or being error-free. Section 17 caps direct damages at the total amount paid in the six months before the event giving rise to the claim, which on a product with a free tier and low entry pricing is a small number, 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 vendor-side indemnity 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 was located. This is the middle band because the exposure the product creates is addressed through a standard limitation clause that disclaims it rather than left unstated.
A real published position on liability, short of the full picture. The Master Service Agreement sets out mutual indemnification, each party defending the other against third-party claims arising from insufficient consents, introduction of malicious code, negligence or misconduct, material breach, intellectual property usage or legal violations, with prompt notice and cooperation required. Aggregate liability is capped at amounts paid in the preceding twelve months, with infringement claims excepted, and neither party bears indirect, consequential or punitive damages. Precedent warrants its authority to perform and non-infringement of registered US copyrights, patents and trademarks. That is scope and caps both published, which is more than most of this lane. What is not available is anything a buyer can invoke when the output itself is wrong. No warranty addresses the accuracy or completeness of a demand package, clause 6.3 disclaiming all warranties beyond the express limited one; no insurance is referenced; and a clause recovered from the agreement provides that Precedent shall have no liability for failure to identify or notify the client of any demand, which matters for a service that delivers demand letters to carriers on the firm's behalf and where a missed communication could carry consequences the firm rather than the vendor bears. One limit is recorded and did not drive the grade: the agreement as published is an abridged summary rather than operative text, and fuller clause language exists in the search index than the page returns, so the full limitation wording was not read. 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.
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 accompanying description, and a blog post announces integrations with MyCase and CASEpeer by title. That is a real and relevant set of counterparties for a plaintiff product, and it is the reason this sits above the floor. What is missing is everything an implementer would use: no statement of what syncs, in which direction, 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, e-signature or billing integration is named. The integrations announcement post was not opened in this pass and is named here as the limit; the grade rests on the material that was read.
Real integrations exist, into precisely the systems this buyer already runs, and are documented short of depth. Three are named and each has its own dedicated page: SmartAdvocate, where the vendor states Demand Composer runs directly inside the platform; Clio, where demand creation is described as streamlined within Clio Manage; and Litify, where demands are generated and managed in the firm's matter system. For plaintiff personal injury those three are close to the whole market of case management systems, so this is coverage of the systems legal work actually lives in rather than a list of adjacent tools. Third-party recognition supports it: the vendor was a finalist for Best New App in the 2025 Clio Integration Awards, which is an assessment of the integration specifically rather than of the product generally. A dedicated integrations index page exists. A is unavailable on the depth limb and the reason is stated rather than inferred: the three integration pages were not opened, so what actually syncs, in which direction, and what a firm must configure are unestablished, and the navigation blurbs describe the function without describing the data flow. No API or developer documentation was located, and no document management or e-signature connection is named. 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.
The residency limb is answered plainly and the tenancy limb is not. The privacy policy states that personal data about end users and visitors is stored within 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 is consenting to transfer of their data to the United States; the terms reinforce it with a geographic restriction section stating the services are based in the United States and provided for access and use only by persons located there. That is a stated storage location, published where a buyer can read it, which is more than most records in this lane offer. Against it, nothing states whether the platform is single 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 published on the service providers page but no statement ties them to a region or describes the hosting arrangement. This is the documented band gap where a vendor publishes one limb cleanly and the other not at all.
The deployment model is stated clearly with partial residency detail, which is the B band. Two limbs are answered better than most records in this lane manage. Processing is addressed distinctly from storage rather than collapsed into a single hosting statement: the vendor states that all data processing and storage occur exclusively within the United States and that client data never leaves US soil, framing it as a data sovereignty commitment. And tenancy is stated rather than left to inference, each firm's data described as logically isolated with case files held in their own private vault under strict access controls, supported by role-based permissions. Where it stops short is granularity and choice. Residency is published at country level only: no cloud provider is named, no region or data center is identified, and no failover or secondary location is described, so a buyer knows the country and nothing below it. No deployment options exist to compare, there being a single cloud service with no private, dedicated or on-premise variant described, so the tier limb does not bite and is named rather than counted either way. And residency is disclosed as the vendor's architecture rather than offered as a customer election, with no mechanism for a firm to require or verify placement. 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.
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 a business associate self-attests to rather than an independent attestation, and 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.
Certification is real and stated, short of accessible evidence, which is the B band. The vendor states it is SOC 2 Type II certified and describes the basis with more specificity than a badge: rigorous annual audits by independent third parties verifying internal controls over security, availability and confidentiality. It separately claims HIPAA-compliant architecture and, unlike a bare compliance claim, backs it with a checkable commitment, offering to sign a business associate agreement for firms handling Protected Health Information. The security page itself is substantive and self-published rather than a hosted portal, covering encryption, tenant isolation, role-based access, retention control, US residency and the training position. What is missing is everything that would let a buyer verify the certification. No auditor is named, no audit period or report date is given, and the scope of the assessment is not described. Most notably, no route to the report is published at all: unlike records where access is sales-gated and therefore earns no credit, here there is neither a download nor a stated request path nor a mention of a security review process, so the report's existence is asserted and its availability is not addressed. No other attestation is claimed and no penetration testing or vulnerability program is described. A requires reports, dates and covered standards reachable without a sales call, and none of those is present. 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 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 as the AI services used in the platform, Google OCR and the Tesseract open-source engine for optical character recognition, Railway for infrastructure and deployment, Supabase as the backend platform, Gotenberg for PDF conversion and Redis for caching. Naming both AI providers and the hosting layer puts this well above the vendors in this lane that describe an AI without identifying anything behind it. Three things keep it off the top band. The models are identified only at product-family level, as GPT and Claude, with no version stated, so a buyer cannot tell which model reads a medical file. The page states in terms 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 allow third-party providers to process user data whether or not those providers are disclosed to the user or white labeled.
The vendor refers to the models generically and identifies nothing underneath them, which is the C band. The one place the supply chain surfaces is the training answer on the security page, which states that the vendor does not train its public foundational models on private client data. That phrasing concedes that foundational models are in the architecture, and it is the only acknowledgment located, but it names no model, no provider and no version, and nothing states whether the generative layer is built in-house or supplied by a third party. The Closed Loop is described as an architecture without identifying what generates inside it. The Master Service Agreement is silent on the point across its length, containing no AI, model or machine learning provision of any kind. No hosting provider is named either, so even the infrastructure layer is undisclosed, which is unusual: most records in this corpus at least name a cloud host, and naming one would not have reached this axis in any event, since test 1 a host says where a model runs rather than whose it is. D was tested and does not fit, because the reference to public foundational models does disclose something about the supply chain a customer inherits. Change notification is not reached, nothing being named that a change could be notified about. 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 in the site navigation, which carries only the two product pages and a blog, and the two calls to action are a free draft and a booked demo. The only commercial statement on the marketing estate is an invitation to get started on a free plan and upgrade when ready, which names no paid tier, no rate, no unit, no included volume and nothing about what the free plan contains or where it stops. The terms describe payment mechanics without any figures, stating that portions of the service may be offered free, that certain features are charged, that fees are payable within thirty days of invoice in US dollars, that late payment accrues interest at one and a half percent per month, that payments are final and non-refundable, and that Novo reserves the right to establish, remove and revise prices at any time; the amounts themselves live in an order form the buyer only sees through a sales process. A buyer cannot establish whether the product is charged per user, per case, per document or per page. No pricing row is owed on this record.
Real pricing is published for part of the range, which is the B band's first limb. The flagship carries a full published rate: Demand Composer is a flat 275 US dollars per demand with unlimited pages and unlimited revisions, presented on the home page as a maximum price rather than a starting point. Surrounding terms are published too: a thirty-day risk-free trial, fixed pricing with no fees or add-ons, payment only for what is used with no prepaid tokens, and an express statement that firms of all sizes are served. For a buyer wanting one demand drafted, the cost is knowable without a sales conversation, which is more than most of this lane offers. What holds it off A is coverage and one contradiction. Six other named products carry no published rate at all, including Claim Setup, Policy Verify, Record Retrieval, MedChron, Case Intelligence and Adjuster Intelligence, so a firm buying the platform rather than a single demand cannot price it. And the marketing and the agreement diverge on the commercial commitment: the home page states there are no contracts and the security page that there are no long-term contracts, while clause 9.2 of the Master Service Agreement provides for automatic renewal for a further twelve months with a 7 percent fee increase unless canceled in writing thirty days before the service end date. Rule 1 the agreement governs. Both are stated so a reader can weigh them. 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.
The segment is stated without ambiguity and one real boundary is drawn. Every surface addresses personal injury plaintiff practice, the home page headlining the AI built for PI, and the scope is narrower still within it: pre-litigation specifically, built around the demand package rather than the whole matter, with the company's own announcement framing 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 genuine limit is published, unusually: the services are stated to be 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. What is absent is the rest of the boundary. No firm size is addressed, nothing states whether the product suits mass tort, medical malpractice or workers compensation work as against motor vehicle claims, no state or jurisdictional variation in demand practice is discussed, and nothing says which record types or matter types it handles poorly.
Segment and practice coverage is described with substance, with the boundaries left open. The segment is stated without hedging and the product is built around it: plaintiff personal injury law firms, positioned explicitly against the carrier side. Firm size is addressed directly rather than assumed, the vendor stating it serves all firm sizes and handles small and large cases alike, which matters in a lane where products often silently target either high-volume intake shops or catastrophic-injury boutiques. The workflow coverage is enumerated across the pre-litigation arc rather than claimed generally: claim setup, letter of representation, policy limit verification, medical record retrieval, exhibit organization, medical chronology, demand drafting, multi-plaintiff demand packages, demand benchmarking and adjuster preparation. Multi-plaintiff matters are named as a distinct capability. Named customers span firm types from regional practices to high-volume advertisers. Depth within personal injury is real; breadth is narrow by design and that is a product decision rather than a gap. A is unavailable because the limits are not stated: nothing says which case types, injury categories or jurisdictions fall outside coverage, no statement addresses whether the product suits litigation-stage rather than pre-litigation work, and while a testimonial references jurisdiction-specific requirements no jurisdictional scope is published. Checked 8 September 2026.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The 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, excepting non-anonymised user data, and folds it into Novo Materials. Section 7 then has the user unconditionally and irrevocably assign all right, title and interest in Resultant Data and Training Data to Novo, states that Novo may utilize the user's data in order to create them, and grants Novo an unlimited license to use any anonymized outputs for the purpose of improving 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 carve-out was located. The anonymization qualifier is the operative limit and is recorded rather than treated as a cure: non-anonymised user data is excluded, so the right runs to anonymized derivatives of material that includes medical records and, per section 16, data protected by attorney-client privilege.
The commitment is express and it sits in policy rather than in the agreement, which is what this value records. The agreement was located and read before the value was written, as this value's text requires: the Master Service Agreement contains no training, model improvement or machine learning provision anywhere, so there is no contractual term to weigh against the policy and nothing in the contract either grants or withholds a training right.
The security page answers the question head on, carrying a Zero Training on Client Data badge and stating that the vendor does not train its public foundational models on private client data, that case files are used strictly to generate the specific demand package for that case, and, in the words quoted here, that data is never shared across clients or used for model improvement. The qualifier is recorded rather than smoothed over: the first of those sentences is limited to public foundational models, which would leave a vendor's own models unaddressed, and it is the third sentence, barring use for model improvement without qualification, that carries the broader commitment.
Read together they are a clear never. contractual-never was declined because no agreement term supports it. The purpose limitation to the specific case is unusually tight for this lane and is the practical protection a firm would rely on.
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 the published policy and no period is stated. The privacy policy answers the question under its own heading, saying only that personal data is retained for as long as necessary to fulfill the purposes for which it was collected and that the length may vary according to the nature of the relationship. No period, no configuration option and no 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 retained rather than deleted. A user-initiated erasure right exists, exercised by email with a forty-five day response window extendable to ninety, which is a route rather than a retention period.
The customer controls the retention window and no zero-retention setting is stated, which is this value. The commitment quoted here is a control rather than a disclosure: the vendor states the firm owns its data and provides tooling so the firm can apply its own retention policy, with permanent deletion available. That inverts the usual position in this lane, where a vendor states its own window and the customer accepts it.
Offboarding is specific and dated rather than vague: on cancellation the firm can download all generated work product, and on request raw data is permanently purged from the vendor's systems within thirty days. customer-configurable-zero was tested and declined, because nothing states that zero retention or a no-store mode is available as a setting; the control is over how long material is kept, not over whether it is kept at all. disclosed-fixed is false since no fixed window is imposed.
Two limits are recorded. The tooling is described rather than specified, so a buyer cannot tell from public material what retention periods are selectable or at what granularity. And the thirty-day purge is framed as applying to raw data on request at offboarding, with nothing published about the retention of generated demand packages or of the prompts and instructions a user supplies during drafting.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located material addresses separation between customers or between matters. The confidentiality regime in section 14 is unusually explicit about the sensitivity of what is held, naming attorney-client privileged information and protected health information as confidential information and limiting who inside the receiving party may see it, but that governs disclosure obligations rather than how one firm's records are partitioned from another's. Nothing states whether the platform is single or multi-tenant, no permission or role model inside a firm's workspace is described, and no matter-level walls are 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.
The product maintains its own permission model, documented, which the firm configures and must keep aligned. Two layers are published. Between firms, the vendor states that each firm's data is logically isolated and that case files exist in their own private vault under strict access controls, which is tenancy stated rather than implied. Within a firm, role-based access is described at a granularity that fits this buyer: permissions are assigned to partners, paralegals and case managers so that staff reach only relevant files, in the words quoted here.
That is closer to a matter-level control than most records at this value achieve, because restricting a case manager to relevant files is the mechanism a firm would use to keep staff out of matters they are not working. What keeps it at this value rather than higher is the direction of responsibility. inherits-dms-acl requires retrieval to enforce a source system's access model at query time, and this product holds its own repository and ingests uploaded medical records rather than retrieving from a firm's document management system, so there is no external access model to inherit and the firm must configure and maintain the permissions itself.
Nothing published addresses ethical walls as such, conflicts screening, or what happens where a firm handles adverse parties, and no detail is given on how isolation is enforced technically.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
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 applicable law or legal process to disclose confidential information, it shall, prior to making the disclosure, 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 the material this signal cares about, because the same section defines confidential information to include privileged and protected health information. The tension is recorded rather than smoothed. 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, naming 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.
Compelled disclosure is addressed and notice is never reached, which is this value exactly. Exhibit B of the Master Service Agreement sets out the confidentiality regime, binding both parties to strict confidence over information that expressly includes Protected Health Information, requiring written consent before disclosure, binding subcontractors, and surviving termination. The exceptions clause quoted here then removes from that obligation anything a party is legally required to disclose.
That is compelled disclosure permitted, and nothing attaches to it: no commitment to give the other party advance written notice, no opportunity to seek a protective order, no undertaking to limit disclosure to the portion legally required, and no commitment to notify after the fact. discretionary was tested and declined because it asserts that the terms reserve discretion over whether to notify, and these terms do not reach the question of notice at all, so its words would be false of this record.
The gap matters more than usual on this product. The material at issue is a claimant's complete medical file together with the firm's demand strategy, and the vendor also transmits demand letters to carriers, so it holds material that a subpoena in the underlying matter could plausibly reach. No transparency report or equivalent periodic disclosure 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 material identifies a corpus, and 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.
No located public material identifies a legal corpus behind the product's output, because the product carries none. What a demand package rests on is the customer's own case file: the medical records, bills, police reports and coverage documents uploaded for that matter, together with the policy information the vendor retrieves from the carrier. The product neither retrieves nor cites legal authority, so there is no body of law whose sourcing or licensing a buyer could interrogate.
The value records what is locatable rather than alleging silence about something the product has, and it matches how this lane treats products whose material is the customer's own file. One phrase was located that touches the question and is recorded because it comes closest without answering it. The Demand Composer page describes the product as built from real case data to drive carrier action, which implies development against a body of prior demands or claims.
Nothing identifies what that body is, whose data it comprises, or on what basis it was used, and it sits in tension with the security page's statement that client data is never shared across clients or used for model improvement. Both are recorded; neither is graded, because a marketing phrase about how a product was built is not a corpus disclosure.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
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.
The value is the honest absence rather than a finding against the vendor. Searched both product pages, the home page, the terms and the privacy policy on 4 September 2026.
No located public material addresses whether authority is checked for subsequent history, because the product cites no authority. Its output is a pre-litigation demand letter addressed to an insurance adjuster, and the citations it contains are to the claimant's own medical records rather than to cases or statutes. The vendor's phrase that every argument is cited and every damage calculated refers to grounding each factual assertion in the underlying file, not to legal citation, and that grounding mechanism is graded on Citation Accuracy where it answers the question directly.
There is no citator function to describe and no legal authority whose treatment could be checked, so the value records an absence of located material on a question this product class was never built to answer. It is the value carried across the lane for the same structural reason. One adjacent capability was considered and does not reach this signal: the product verifies insurance coverage and policy limits with the carrier, which is verification of a fact about the claim rather than verification of authority, and it is graded on the capability axes.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located material describes what the system does when it cannot ground an output. There is no abstention path, no no-answer state, no confidence or completeness score shown to the user, and nothing on 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 addresses the same territory as an allocation of responsibility, disclaiming any warranty that the services will achieve intended results or be error-free and making 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.
The vendor describes abstention behavior in public materials, which is this value. Two published mechanisms answer what happens when the material is not there. The first is architectural: the Closed Loop requires every medical fact, diagnosis and billing code in a demand to be hyperlinked to its source page in the raw record, so an assertion with no source has nowhere to attach, and the vendor puts the corollary to the buyer directly in telling them they can verify any statement by clicking through to the document.
The second is the behavior quoted here, where incomplete documentation is surfaced and the missing records are retrieved rather than the gap being written around, with the vendor framing incomplete files as a cause of lower offers. Together those describe a product that flags what it does not have instead of generating over it. documented-and-demonstrable was declined because it requires the behavior to be observable in the product or in published evaluation, and no evaluation, benchmark or worked example is published. confidence-scoring-only is false, no confidence or grounding score being exposed.
One tension is recorded and graded on Citation Accuracy rather than here: the same page headlines Zero Hallucinations, which asserts the failure mode cannot occur, while the vendor also employs trained reviewers to check factual integrity before delivery.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
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.
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 Precedent or its named products. The common-word name was accounted for in searching, queries being framed around the demand letter product and the personal injury context to separate the vendor from the ordinary legal use of the word.
The value records the state of that search on the date rather than a claim that no such matter could exist. One structural observation is recorded and is not a substitute for the search, which was run regardless. The product's output is a pre-litigation demand letter sent to an insurance adjuster rather than a document filed with a court, and its citations run to the claimant's medical records rather than to legal authority, so the specific failure mode this signal tracks, fabricated case citations reaching a judge, is not the shape of risk this product carries.
The nearer risk, a misstated medical fact in a demand, would surface as a coverage or bad-faith dispute rather than as a sanctions record.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located material engages with bar or ethics guidance at any level. No bar association, rule of professional conduct, ethics opinion or jurisdiction-specific guidance 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, which acknowledges that jurisdiction matters without identifying a single rule or authority; that provision is a position on the advice line and is graded on the professional responsibility row rather than counted here.
Nothing addresses supervision, competence, candour 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.
Public materials engage with named professional conduct authority substantively, which is this value, and the summary states precisely which guidance is engaged and which is not. The vendor publishes a dedicated article on whether firms may bill clients for AI-powered legal services. It names ABA Model Rules 1.5 and 1.8 in the terms quoted here, sets out three conditions for an expense to be reimbursable, gives concrete practice guidance on itemizing invoices, disclosing third-party technology in the engagement letter and obtaining informed consent, and maps requirements across six named jurisdictions, describing Arizona's written disclosure requirement for contingency matters, California's prohibition on unconscionable or fees, Florida's and Texas's reasonableness and documentation standards, and New York's and Pennsylvania's requirement that expenses tie to client matters with detailed explanation.
It closes by addressing duties of loyalty and communication. That is material a firm could hand to its own risk committee, which is what this signal exists to reward. What is not engaged is the generative AI guidance the signal's framing points at. The 2024 ABA formal opinion on generative AI is not cited, no state bar AI opinion is discussed, and nothing addresses the confidentiality, competence or client consent questions those opinions raise. mapped-by-jurisdiction was declined because the six-state mapping is of cost disclosure rules rather than of the product against AI ethics opinions.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Time savings are published and nothing addresses the billing consequence. The estate 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 higher-value work. None of it reaches this signal: no per-matter record of AI-assisted work is offered to a firm, no guidance on fee or disclosure treatment is published, and nothing states whether a client should be told that the demand advancing their claim was machine-drafted.
The direction is worth recording on this record because the compression is unusually large and the buyer is a contingency-fee practice, so 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.
The vendor's charge reaches the client as a case expense rather than through compressed hours, and the vendor addresses that disclosure directly. The commercial shape is the one this value describes: Demand Composer is priced at a flat 275 US dollars per demand, the buyers are plaintiff personal injury firms working on contingency, and the cost is advanced by the firm and recovered from the settlement, so the question a client faces is disclosure of a pass-through disbursement rather than a billable hour that shrank.
The value's own text asks the summary to record whether the vendor addresses that disclosure, and this one does so more thoroughly than most in the lane. A dedicated article sets out that such costs are generally reimbursable where clearly disclosed in a fee agreement, reasonable in amount and necessary to the representation; states the condition quoted here; instructs firms to itemize the expense, demonstrate necessity and obtain informed consent through a signed agreement; distinguishes case-specific services from firm-wide subscriptions that belong in the fee structure rather than on a client bill; and maps the requirement across six named states.
Named ABA Model Rules are cited. Two limits are recorded: the guidance is about passing the vendor's own cost through, and nothing addresses what happens to attorney time on a matter where the demand took hours instead of weeks, nor does the product emit a per-matter record of AI-assisted work.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current, ungated provider list naming the AI companies that see client content, short of a forwardable disclosure pack. The service providers page is published without an account, incorporated into the terms by reference, and names eight suppliers with links to each one's commercial terms, including GPT by OpenAI and Claude by Anthropic as the AI services used in the platform and Google OCR and Tesseract as the document-reading layer, alongside Railway, Supabase, Gotenberg and Redis.
A firm can therefore tell a client which companies process its material and read those companies' own terms, which is the substance this signal asks for. What is missing is the third element. No data processing addendum, business associate agreement or client notification pack is published or offered on request, so there is no artifact drafted to be forwarded. Two published qualifications weaken the list itself and are recorded: 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 allow third-party providers to process user data whether or not those providers are disclosed to the user or white labeled.
Neither artifact this signal requires exists. No subprocessor list is published anywhere and nothing indicates one is available on request, so a firm cannot enumerate who touches a claimant's medical file. And no model provider is named on any surface: the security page acknowledges public foundational models only in the course of saying it does not train them on client data, which concedes the category while identifying nothing, and no hosting provider is named either.
No forwardable client-facing disclosure material was located, there being no data processing addendum, no AI disclosure pack and no consent or notification template. One instrument was tested and does not satisfy the signal. The vendor offers to sign a business associate agreement for firms handling Protected Health Information, which is a real and checkable commitment and is credited on the capability axes; it is a HIPAA instrument between the firm and the vendor rather than a statement of who sees client content that a firm could forward, and it names no subprocessor or model provider. on-request was therefore declined, since what exists on request is a BAA rather than the material this signal asks for.
One framing point is recorded honestly: this signal was written for firms answering a corporate client's AI clause, and a contingency plaintiff practice answering to an injured individual faces that question in a weaker form, though the underlying disclosure gap is the same.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located material addresses producing a record of AI-assisted work. 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 it requires the user to review, revise and proofread every output, but no artifact evidences that review having happened.
The gap is live on this product because a demand letter and its underlying 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.
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 guidance or template is published, and nothing produces a record identifying the model used, the sources drawn on and the human verification applied to a given document. The question bites less hard than on a litigation product, since the output is a pre-litigation demand addressed to an adjuster rather than a filing, though a demand package can become an exhibit in a subsequent bad-faith or coverage action. partial-record was tested and is the closest call on this record, then declined.
The delivered demand does carry hyperlinked citations tracing every medical fact, diagnosis and billing code to its source page in the raw record, which travels with the document and is a genuine provenance trail for sources. It is declined for three reasons: the model used is not identified anywhere, no per-document record of the trained reviewer's check is produced or exportable, and nothing published describes the citation trail as serving a disclosure purpose rather than a persuasion and verification one.
That reasoning is applied consistently with the equivalent call made on another record in the same session, where a report listing its references was likewise held not to be a disclosure record.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- AI Governance and Bias Disclosure
- Primary Law Corpus Provenance
- Good Law Verification
- Court Disclosure Support
Which one fits
Choose Novo if
- You must tell clients which AI companies see the records. Novo publishes a service providers page naming GPT by OpenAI and Claude by Anthropic as its AI services, Google OCR and Tesseract for reading documents, and its hosting and backend suppliers.
- Your firm runs CASEpeer, Smokeball, SmartAdvocate or MyCase. Novo names all four as case management integration partners, so records can come from a case file and finished drafts can return to it.
- You want the advice line and privilege in the contract. Novo's terms state its output is not legal advice and must be reviewed before use, name attorney client privileged information as confidential, and commit to notice before any compelled disclosure.
Choose Precedent if
- You want to click from every fact to its source. Precedent links each medical fact, diagnosis and billing code in a demand to its page in the raw record, and its own reviewers check each draft for narrative logic and factual integrity before delivery.
- You want a known price per demand. Precedent charges a flat $275 per demand with unlimited pages and revisions, and offers a thirty day trial.
- You need the whole pre litigation arc. Precedent covers claim setup and policy limits, a letter of representation, record retrieval, exhibit management, medical chronologies, demands including multi plaintiff packages, and adjuster tactic prediction, inside Clio, SmartAdvocate or Litify.
In summary
Novo
Novo, based in Austin, Texas, drafts the medical chronology and demand letter for personal injury claims in pre litigation, turning uploaded medical records into a structured timeline and then a demand, with a published figure of five and a half hours saved per case. It names CASEpeer, Smokeball, SmartAdvocate and MyCase as integration partners and offers a free plan, in the United States only. The AI Legal Index grades it in the top two bands on nine of fifteen capability axes, with an A on AI centrality. It names OpenAI and Anthropic among its providers and stores data in the United States. As of 4 September 2026 the index located no paid price, retention period or security attestation.
Precedent
Precedent, from Precedent LLC of Charlotte, North Carolina, is a case automation platform for plaintiff personal injury firms covering claim setup, policy limits, record retrieval, exhibits, medical chronologies and demands, with a Closed Loop design linking every medical fact to its source page and expert reviewers checking each draft. The AI Legal Index grades it in the top two bands on twelve of fifteen capability axes. It charges $275 per demand, states SOC 2 Type II, offers a business associate agreement, keeps data in the United States, and integrates with Clio, SmartAdvocate and Litify. It reports more than 100 firms. As of 8 September 2026 the index located no named model or subprocessor.
Questions buyers ask
Novo vs Precedent: which is better for personal injury demands?
Precedent sits in the top two bands on twelve of fifteen AI Legal Index capability axes and Novo on nine of fifteen, identical on seven. Precedent publishes its price, a SOC 2 Type II claim, a source link on every medical fact and reviewer checks. Novo publishes the AI providers that read the records and a clearer advice line. Firms that must disclose AI providers to clients have more to read from Novo.
Does Novo train on client records?
Its terms define training data to exclude non anonymized user data, then assign anonymized outputs and training data to Novo and grant it an unlimited license to use anonymized outputs to improve its services, including creating training data. No opt out is described. Precedent states that case files are never shared across clients or used for model improvement. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
How much do Novo and Precedent cost?
Precedent charges a flat $275 per demand with unlimited pages and revisions and a thirty day trial; its other products are unpriced, and its agreement renews for twelve months with a 7 percent fee increase unless canceled thirty days before the end date. Novo offers a free plan and publishes no paid price. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Which AI models do Novo and Precedent use?
Novo's service providers page names GPT by OpenAI and Claude by Anthropic as its AI services, without model versions, and says the list may change. Precedent names no model or provider, stating only that it does not train its public foundational models on private client data. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
What do Novo and Precedent both leave unpublished?
An AI governance position and a disclosure record. Neither names who is accountable for its models or describes testing for uneven output across injury types or claimants, and neither produces a record of which model drafted a demand and who reviewed it. Neither publishes an accuracy figure for its drafts. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Three readings to weigh. Novo's terms assign anonymized outputs and training data to Novo and grant it a license to use them to improve its services, and its product pages claim nothing is missed while its terms disclaim accuracy. Precedent's site says there are no contracts while its agreement renews for twelve months with a 7 percent fee increase, and its home page and case study give different settlement figures. Novo was verified on 4 September 2026 and Precedent on 8 September 2026. Neither vendor reviewed this page.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.