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Codes Health

Codes Health retrieves and reviews medical records for plaintiff personal injury and mass tort firms. A firm submits a client's treatment history and Codes Health takes it from there. It validates the authorization, locates the care sites, submits to each provider in that facility's required format and follows up daily until the records arrive. Retrieval runs on an agentic system that combines automated work with human intervention, drawing on electronic claims networks, custodian integrations and its own provider network.

It states coverage in all fifty states and an average turnaround of one to two weeks, with request status shown in real time. The platform produces medical chronologies, encounter and bill summaries, and extracted case insights covering diagnoses, breaches in care and future expenses. AI insights are stated to be verified by humans before delivery. A missing record detection feature flags gaps in the treatment history before a demand package is finalized.

Firms work in a web application with single sign on, role based permissions and an audit trail. Codes Health publishes an exclusive partnership with Filevine that puts requesting, receiving and reviewing records inside Filevine. Pricing is a flat fee quoted on inquiry, with follow ups and AI chronologies included.

Compared with

Codes Health, head to head

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

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Capability grades

All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.

BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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 models drive the core capabilities and sit on a workflow system that would still function without them. Four AI functions are described in present tense on current pages. They are an agentic retrieval system, error checking that reviews an authorization for misspellings, missing dates of service and absent signatures before submission, missing record detection that flags gaps in the treatment history, and generated medical chronologies, encounter and bill summaries and extracted case insights.

Underneath that sits a request tracking platform with per request status, visibility into every fax and call, and a provider network. The vendor states its own framing plainly: retrieval runs on a mixture of AI and human intervention, insights are verified by humans, and the headline operational measure is a turnaround time. Remove the models and a firm would still receive a tracked, chased retrieval service.

Source: Vendor Published
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

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.

Grounding is claimed and accuracy is asserted, and nothing is measured. The product is described as grounded in the firm's specific case context, with chronologies drawn from the client's own retrieved records, so the output has a real source. No retrieval method is described, no output is shown citing a record a user can open, and there is no accuracy figure, test set, evaluation or failure mode statement on any page.

Human review is offered in place of measurement: insights are stated to be verified by humans, and every batch is stated to be verified for completeness before it reaches the firm. The published figures are operational rather than accuracy claims: 80 percent less manual review, 2.5x faster retrieval, 50 percent more case capacity and 1.7x larger settlements, none attributed or dated. Accuracy and grounding are addressed without being evidenced, on a product whose extracted insights include breaches in care.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

Real review points are published and the threshold at which the system runs alone is not. Three controls exist and each names when it happens: AI insights are verified by humans, every batch is verified for completeness before it reaches the firm, and the firm has real time request status with updates for every fax and call plus a full audit trail. The humans in the loop are the vendor's, not the buyer's. Nothing describes what a lawyer at the firm should check on receipt, what the review point is for a chronology or an extracted insight, or what happens when one is wrong.

Daily automated follow up workflows plainly run unattended, and a customer account states the case manager did not lift a finger. No published material reconciles those with the review claims by stating where the automated boundary sits. No abstention behavior and no confidence signal is described.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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 and published figures both exist and are never joined to each other. Three testimonials carry full attribution with role and firm: Charles Brown, Managing Partner at Daly & Black P.C.; Kelman Harrel, Partner at Louis Law Firm; and Skinner Louis, Managing Attorney at Louis Law Firm. Skinner Louis gives an operationally specific account of a matter needing records and bills from nine to ten providers, with each request tracked independently so an issue on one did not block the others.

Six further customer logos appear unattributed. Separately the site publishes 80 percent less manual review, 2.5x faster retrieval, 50 percent more case capacity and 1.7x larger case settlements. A state guide adds an average turnaround of 3 to 5 days attributed to the company's own operational data. None of those figures is tied to a named firm, none carries a date, and the named firm accounts carry no numbers. A fourth quotation is attributed to Sarah Miller, Shareholder at a national mass tort and litigation firm, with the firm unnamed. The turnaround figures also disagree: the home page states one to two weeks and the state guides state 3 to 5 days.

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

Privilege and Confidentiality Posture

How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.

Substantive and specific commitments are published where a buyer can read them before signing, and none of them is contractual. The security section states that data is never used to train the vendor's models, that all AI processing is scoped to the firm's own cases, and that there is no data sharing between clients. It adds end to end PHI encryption with AES-256 at rest and TLS 1.2 or above in transit, role based permissions with a full audit trail, and Business Associate Agreements executed with all relevant vendors.

That answers training use and separation between customers. No privilege or work product treatment appears anywhere. Both legal instruments the company publishes scope themselves away from the product. The Terms of Use govern the marketing site, defined as a place for current and prospective customers to access information about the services. The Privacy Policy applies to Personal Data collected from Users of that site.

Neither reaches a claimant's medical records. No customer agreement or BAA is published, so every commitment above rests on a product page.

Source: Vendor Published
DD on UPL and Professional Responsibility PostureNothing published on the advice line for a product that produces legal work, including where it is sold to people who are not lawyers.

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.

Nothing published addresses the advice line, on a product whose own headline describes it as a nurse, paralegal and assistant all in one. There is no statement that Codes Health is not a law firm, no disclaimer that it does not provide legal advice, no description of what the product is and is not, no jurisdiction limit, and nothing on how a firm should supervise the output. The Terms of Use disclaim warranties and describe permitted use of the website, and one clause restricts the site to personal and noncommercial use; none of it speaks to legal work.

The absence matters because of what the product produces: medical chronologies and extracted case insights covering diagnoses, breaches in care and future expenses, which feed a demand package.

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

AI Governance and Bias Disclosure

Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.

No governance position of any kind is published. There is no responsible AI page, no principles statement, no management system, no named person or function accountable for model behavior, no prerelease testing regime, and nothing on uneven output across matter types, injury types or populations. The navigation and footer were inventoried across the full site on 4 September 2026. The only policy documents published are the Terms of Use, the Privacy Policy and a Responsible Disclosure Policy, and none of them addresses how the models are governed.

The nearest statement is the AI data policy block, which commits that data is not used to train the models and that processing is scoped to the customer's own cases. That is a confidentiality commitment rather than a governance position. The gap matters on a product that extracts clinical findings from the records of injured claimants and flags which of them matter to a case.

Source: Operator Verified
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

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.

Access control is published in real detail, and retention and deletion are absent entirely. Published: AES-256 at rest, TLS 1.2 or above in transit, PHI encrypted end to end, single sign on, role based permissions, a full audit trail on every action, regular third party penetration testing, 24/7 monitoring and alerting, an incident response plan, and multi region redundancy with a 99.9 percent uptime SLA. The Responsible Disclosure Policy adds a published process with committed timelines.

It acknowledges a vulnerability report within seven business days and triages within ten, gives a safe harbor authorization with named exclusions, and reaches subdomains, services and applications rather than only the website. No retention period is stated for retrieved records, chronologies or prompts, and no deletion or return of data commitment exists for case material. No subprocessor is named, only an assertion that BAAs are executed with all relevant vendors, and no cloud provider is identified.

The Privacy Policy states in its first line that it applies solely to information collected by the website, so nothing published governs client data in normal operation.

Source: Vendor Published
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

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.

Nothing published addresses who bears the loss when the product is wrong. The Terms of Use contain a full allocation of loss: the service is provided as is with all warranties disclaimed, consequential damages are excluded, liability is capped at 100 dollars, indemnity runs one way from the user to the vendor, claims must be brought within two years, and Delaware law governs. Every one of those provisions is scoped to use of the website.

The instrument defines the Site as the place customers access information about the services. None of it reaches a missed record, an inaccurate chronology or a wrongly extracted case insight, so it is not a product liability position. No customer agreement, service level commitment on accuracy, indemnity, warranty on output or insurance position is published on any page.

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

Practice Systems Integration Depth

How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.

One named integration is described at workflow level, with no depth behind it. Codes Health publishes an exclusive partnership with Filevine and a dedicated page for it. The page states that record retrieval is integrated directly into the case system, so a firm can request, receive and review records inside Filevine through a custom Filevine partner workflow. That is a named connection with a stated function rather than a logo.

Two further connection classes are named without being specified: direct connections to major claims clearinghouses and payors, and custodian integrations alongside electronic claims networks, none of which identifies a counterparty. A state guide adds that high volume firms can integrate directly with CRM platforms and case management software, without naming one. Nothing states what syncs, in which direction, on what trigger, or what a firm must configure, and there is no integrations page, developer documentation or API.

The FAQ asks whether the product works with a firm's existing case management system, but the answers on that page did not render, so the question is published and its answer was not.

Source: Vendor Published
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

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.

Cloud delivery is implied, and neither tenancy nor region is stated for the product. The security section says the platform is hosted with enterprise grade infrastructure and has multi region redundancy with a 99.9 percent uptime SLA. That is a resilience statement rather than a residency one: copies exist across regions, but no region is named and no choice is offered. No cloud provider is identified. Nothing states whether the platform is single or multi tenant, and no dedicated or isolated option is described.

The one residency sentence is in the Privacy Policy, which states that data collected through the site is stored on secure servers in the United States and that third parties may not transfer it outside the United States. That policy applies by its own terms to website Personal Data rather than to claimant records, so it does not settle where claimant data sits. Where the AI processing happens is a separate silence, since no model provider is named.

The product is a customer application at a published subdomain with its own login, so delivery is not in doubt; the tenancy and the region are.

Source: Vendor Published
CC on Security Certifications and Trust CenterBadges appear on the site with no scope, no date, and no report available.

Security Certifications and Trust Center

Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.

A compliance claim is displayed as a credential, with no scope, no date and no report. HIPAA compliance appears in the home page hero as one of three headline stats, reading fully compliant, and is repeated in the security section. HIPAA is a statutory obligation that a covered entity or business associate self attests to, not an independent attestation, and no assessor, assessment date or scope accompanies it. Regular third party penetration testing is claimed with no testing firm, date, scope or summary.

No SOC 2 of either type, no ISO certification, no HITRUST and no named auditor appears anywhere, and there is no trust center or portal. The only route offered is the line that full compliance documentation is available on request, with no self service mechanism or form, only a general contact address. The site rendered in full, so this is an absence rather than a retrieval limit.

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

Model Supply Chain Disclosure

Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.

The vendor refers to its models repeatedly and identifies nothing underneath them. The site speaks of an agentic retrieval system, medical grade AI, and the first legal grade AI for medical records. The AI data policy refers to our models, which asserts models the company controls without saying whose they are or what they are. No model, version, provider, hosting arrangement or processing location is named on any page, and no commitment to notify customers if any of that changes is published.

The nearest thing to supply chain disclosure is the statement that Business Associate Agreements are executed with all relevant vendors. That concedes that third parties touch protected health information while naming none of them. The vendor does describe an architecture and does claim models of its own, but a buyer cannot learn from any published source whose model reads a claimant's medical file.

Source: Vendor Published
CC on Commercial TransparencyPricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not.

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.

The charging model is published clearly and repeatedly, and no figure appears anywhere. There is no pricing page in the navigation. Across the state guides the vendor states flat fee pricing charged per request rather than metered by volume. The guides list no per page markups, no charge for follow ups or status checks, no charge for requests resent because of provider issues, and AI generated chronologies included in the service rather than priced separately.

They close with an instruction to contact the company for current pricing. That is a unit of charge and a clear inclusion boundary, so something real is published about how a buyer would be charged. What is absent is the number: no rate, no range, no minimum, no term, no volume tier and no implementation cost. One state guide calls the pricing transparent while the same section directs buyers to a sales conversation to learn it. A buyer can describe the shape of the invoice before contacting the company and cannot estimate it.

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

Firm and Practice Coverage

Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.

The buyer is stated without ambiguity and the boundary is left open. Every page names plaintiff law firms, with personal injury and mass tort practice named throughout and the workflow described in that idiom: prelitigation, demand packages, settlement negotiation, case intake and acceptance decisions. Jurisdictional coverage is documented in depth. Retrieval is claimed in all fifty states, and individual state and city guides set out facility level submission requirements, statutory response windows and fee schedules for named hospital systems.

Firm size is addressed only loosely, through references to high volume firms qualifying for custom integrations. What is not stated is where the product stops: defense firms, insurers, in house departments and government are never addressed, and no practice area or matter type is excluded. A separate page addresses healthcare providers about their own intake process, a second audience the coverage material does not reconcile with the plaintiff firm framing.

Source: Vendor Published
Sources on file

3 public documents

The public pages on file for Codes Health, 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.

Pricing

No published figure

USD, as published, never converted
  • Codes Health does not print a price anywhere on its website, and there is no pricing page.
  • You have to contact the company and ask for a quote.
  • What it does tell you is how the charging works: one flat fee for a records request, not a charge per page, so a huge medical file costs the same as a small one.
  • Chasing providers, re-doing a request that a hospital rejected, and the AI-written medical timeline are all included rather than billed on top.
  • The company also points out that doing this yourself is not free once you count staff time and rejected requests.

Structure is published without a figure at any level. There is no pricing page in the site navigation; the charging model appears in the pricing sections of the vendor's state and city guides and is stated consistently across them. The model is a flat fee per request rather than volume based metering, described as transparent flat fee pricing with no per page markups and one flat fee regardless of record volume. The inclusion boundary is stated in detail: no fees for follow ups or status checks, no extra charge for requests resent because of provider issues, and AI powered case chronologies and record organization included in the service rather than priced separately.

High volume firms are said to be able to integrate directly with CRM platforms and case management software, with no cost stated. The guides close by directing buyers to contact Codes Health directly for current pricing details. Separately, the vendor publishes provider copying fees across jurisdictions, which are statutory charges levied by hospitals rather than the vendor's own rates. No free tier exists or is claimed.

Legal Signals

What each signal means

A signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.

Confidentiality and Privilege

Client Data in Training

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

Never, in policy only

A public policy or trust page states no training on customer content, with no matching term located in the published agreement.

A clear commitment appears on a product page, and no agreement is published that could carry it. The security section states that customer data is never used to train the vendor's models, that all AI processing is scoped to the customer's own cases, and that there is no data sharing between clients. The same block appears on the Filevine partnership page. The only agreement published is the Terms of Use, which by its own definition governs the marketing website rather than the service.

It contains no training, machine learning, deidentification or aggregate use clause of any kind. The Privacy Policy reserves the right for the vendor and its business partners to continue using deidentified data indefinitely. That policy applies by its own first line to Personal Data collected from website Users, and the reservation does not name training or machine learning, so it is not read as a permission over client records. Nothing published states what any third party model provider may do with content, because no provider is named.

Source: Vendor PublishedYour data is never used to train our modelsAs of Sep 4, 2026Evidence

Prompt and Output Retention

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

Not addressed

No located public material states how long prompts and outputs are retained.

How long the product keeps anything it handles, from retrieved records to prompts, is never stated. Nothing addresses retention of retrieved medical records, generated chronologies, encounter summaries, extracted case insights or the prompts behind them, and no deletion or return-of-data commitment for case material exists on any surface. The one retention passage on the estate is in the Privacy Policy, which states that Personal Data is retained only as necessary and lists the factors bearing on the period without naming one; it is not recorded as the answer here because that policy states in its opening line that it applies solely to information collected by the website.

The adjacent disclosures do not reach the question either: multi-region redundancy and a 99.9 percent uptime SLA describe availability, and the audit trail records actions rather than how long their subjects persist. Searched the home page, the Filevine page, the Use Cases page, the FAQ, the state guides, the Terms of Use, the Privacy Policy and the Disclosure Policy on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026

Ethical Walls and Matter Segregation

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

Claimed, not documented

Segregation is asserted in public materials with no published detail on how it is enforced.

Separation is asserted in specific terms and nothing published says how it is enforced. Three statements in the security section bear on it: there is no data sharing between clients, all AI processing is scoped to the customer's own cases, and role based permissions ensure only authorized users access case data, with a full audit trail on every action. That covers both separation between customers and access within a firm.

The mechanism is absent. Nothing states whether the platform is single or multi tenant, no permission model is documented, and no matter level walls inside a firm's own workspace are described. There is no administrator documentation, security whitepaper or trust portal where a buyer could test any of it. A plaintiff firm running screened matters would need matter level treatment, and only separation between customers is claimed.

Source: Vendor PublishedNo data sharing between clientsAs of Sep 4, 2026Evidence

Third Party Request and Subpoena Notice

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

Disclosure addressed, notice absent

Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.

Disclosure to authorities is addressed and customer notice is addressed nowhere. The Privacy Policy carries a Government and Law Enforcement Authorities provision under which the company may share data to comply with legal processes or enforceable governmental requests or as otherwise required by law. It also lists responding to lawful requests from public and government authorities, including cooperation with judicial proceedings and court orders, among its processing purposes.

No commitment to notify, no reservation of discretion over notifying and no transparency report appears anywhere. The nearest statement concerns consent rather than notice and limits itself: prior consent will be sought before disclosure to a third party only where required by law. The provision sits in a policy that applies by its own terms to Personal Data collected from website Users. Nothing published addresses what happens when a claimant's medical records held in the platform are demanded by legal process.

Source: Vendor Publishedcomply with legal processes or enforceable governmental requestsAs of Sep 4, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

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

Not addressed

No located public material identifies the corpus behind the product’s answers.

Corpus provenance is a question this product class does not raise. Codes Health does not retrieve or present primary law; the material its models work on is the customer's own client's medical and billing records, obtained under a HIPAA authorization from named providers, so there is no case law database, statutory source, publisher or licensed reference set behind an answer. Searched the home page, the Filevine page, the Use Cases page, the FAQ and the three published policies on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026

Good Law Verification

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

Not addressed

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

Nothing addresses checking authority for subsequent history, and the product does not surface primary law to a user. Its outputs are chronologies, encounter and bill summaries and extracted case insights drawn from medical records. The vendor's state and city guides cite primary authority extensively, naming provisions such as 45 CFR 164.524, NRS 629.061, Tenn. Code sections 63-2-101 and 68-11-304, RCW 70.02.080 and D.C.

Official Code section 3-1210.12. That is published marketing guidance rather than product output, and no verification or currency check is described for any of it. Searched the home page, the Use Cases page, the FAQ, the state guides and the three published policies on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026

Refusal and Uncertainty Behavior

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

Not addressed

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

An output the system cannot ground has no described handling. There is no abstention path, no state for declining to answer, no confidence or grounding score shown to a user, and no description of behavior where a record is illegible, contradictory or incomplete. Missing record detection flags gaps in the treatment history. That is the product reporting an absence in the source material, not an absence of confidence in its own output.

The published assurance in this area is human verification before delivery, which is an oversight control rather than an uncertainty behavior. Searched the home page, the Filevine page, the Use Cases page, the FAQ and the three published policies on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026

Fabricated Citation Record

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

None located

No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.

The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on the product name Codes Health and on the corporate name Codes Health, 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.

Source: Operator VerifiedAs of Sep 4, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

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

Not addressed

No located public material engages with bar or ethics guidance.

Lawyers' professional duties under bar or ethics guidance go unaddressed at every level. No bar association, rule of professional conduct, ethics opinion or jurisdiction-specific guidance for lawyers is named or referred to in general terms, and nothing addresses a firm's professional obligations when using the product. The regulatory material the vendor does publish is extensive but sits in a different field: HIPAA, state medical record access statutes and provider fee schedules govern how records may be obtained, not how a lawyer may use the tool that obtains them.

No statement that the company is not a law firm and no advice disclaimer exists to anchor even a generic reference. Searched the home page, the Filevine page, the Use Cases page, the FAQ, the state guides, the Terms of Use, the Privacy Policy and the Disclosure Policy on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026

Billing and Fee Posture

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

Client cost pass through

The vendor’s charge reaches the client as a disbursement or case expense, typically advanced by a contingency firm and recovered from a settlement, so the fee question is disclosure of a pass through cost rather than compressed hours. The summary records whether the vendor addresses that disclosure.

Time and money claims are published throughout and nothing addresses what a client is told. The site carries 80 percent less manual review, 50 percent more case capacity, 1.7x larger settlements, and an account of time saved being redirected to client service. It also argues that retrieval done in house costs more than it appears once staff time, resubmissions and missed records are counted. No per matter record of AI assisted work is described as available to a firm, and no guidance on fee or disclosure treatment is published.

Nothing addresses how the cost of the service or the shorter preparation time should be handled with the client. The buyers are contingency fee plaintiff firms, for whom the service is a case expense advanced and later recovered from a settlement. The live question is therefore what a client is charged and told about an AI assisted service, and the flat fee, all inclusive structure is published without any position on that.

Source: Vendor PublishedAs of Sep 6, 2026

Outside Counsel Guideline Readiness

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

On request only

The material exists behind a sales conversation or an executed agreement.

A stated request route exists and nothing published would let a firm answer its client. The security section states that Business Associate Agreements are executed with all relevant vendors and that full compliance documentation is available on request. There is no self service portal, no form and no named document set, so what that documentation contains was not established. No subprocessor list exists, no cloud provider is identified, and no model provider is named, so a firm cannot tell a client whose model processes its clients' protected health information.

There is no data processing addendum and no consent or notification pack a firm could forward. The forwardable material that does exist is the security section's own commitments on training, case scoped processing, separation between clients and encryption. That is useful to a firm and is not the provider disclosure a client AI clause asks for.

Source: Vendor PublishedAs of Sep 4, 2026

Court Disclosure Support

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

Not addressed

No located public material addresses court disclosure or verification certification.

A tribunal or client asking for a record of AI assisted work would find provenance for records but not for model output. Two published features are adjacent and neither does this job, so both are recorded. The platform provides a full audit trail on every action together with real-time request status and visibility into every fax and call made on a firm's behalf, which is a strong provenance trail for how a record was obtained and says nothing about which output a model generated.

And insights are stated to be verified by humans, with no artifact evidencing that verification per document. No export of model usage, no attribution of a chronology or an extracted insight to a model or version, and no disclosure template or guidance was located. The gap is worth naming because the product's outputs travel into demand packages and, where a matter does not settle, into filings. Searched the home page, the Filevine page, the Use Cases page, the FAQ and the three published policies on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026
Contact

Correct a record, or ask how something was graded

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

AI Legal Index

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

Index Status
Last index update
October 19, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
© 2026 AI Legal Index
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