Codes Health vs LawPro.ai: how they compare in 2026

C
Codes Health profile
L
LawPro.ai profile
Last verifiedSeptember 27, 2026

Codes Health and LawPro.ai both turn a personal injury client's medical records into chronologies and case material, from different starting points. Codes Health retrieves the records from providers and then summarizes them, while LawPro.ai works on records a firm uploads and drafts demands from them. Codes Health sits in the top two bands on six of fifteen axes and LawPro.ai on four of fifteen, identical on ten. Codes Health's lead is its security page and its Filevine integration. It states that customer data never trains its models, that processing is scoped to each customer's cases, and that data is encrypted, permissioned and audited. LawPro.ai's lead is how much of the case it drafts, from chronology and specials to demand letters and deposition preparation, with a named firm reporting twice as many demands a week. LawPro.ai publishes no terms, privacy policy or working pricing page. Codes Health's published terms and privacy policy cover only its website.

At a glance

Category
Codes HealthPlaintiff & Claims AI
LawPro.aiPlaintiff & Claims AI
Founded
Codes HealthNot published
LawPro.aiNot published
Headquarters
Codes HealthBrooklyn, New York, United States
LawPro.aiLos Angeles, California, United States
Last verified
Codes HealthSep 4, 2026
LawPro.aiSep 4, 2026

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.

Codes Health
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.

The models are the engine of 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: 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's own framing is what keeps this off the top band and it is stated plainly rather than inferred: 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, which is what the band above forbids. Checked 4 September 2026.

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

Remove the models and nothing remains to sell. Every named module is an inference product over an uploaded medical file: TimeLineD builds the chronology, FileLens characterizes each document, Snapshot extracts injuries, treatments, medications and referrals, SpecialsAI identifies and totals medical costs, Case360 assembles the whole-case view, LegalDocs drafts the demand and the deposition preparation material, and Case Assistant answers questions from the records. There is no document management system, no case management system and no workflow layer underneath that would still be worth buying without them; the platform does not store a firm's matters or run its practice, it reads files and returns analysis. The plan's own inclusion list makes the point, running to an onboarding session, AI-generated summaries, medical timelines and billing, and an AI chat assistant. Checked 4 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.

Codes Health
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.

Grounding is claimed and accuracy is asserted, and nothing is measured. The product is described as grounded in the firm's specific case context and tailored to the practice, with chronologies drawn from the client's own retrieved records, so the output has a real source; but no retrieval method is described, no output is shown citing a record a reader can open, and there is no accuracy figure, test set, evaluation or failure-mode statement anywhere on the estate. The assurance offered in place of measurement is human review: 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, running to 80 percent less manual review, 2.5x faster retrieval, 50 percent more case capacity and 1.7x larger settlements, none attributed or dated. The band below does not fit, because its words require that nothing be published on accuracy or grounding, and both are addressed here without being evidenced. That matters on a product whose extracted insights include breaches in care. Searched the home page, the Filevine page, the state guides, the FAQ, the Terms of Use, the Privacy Policy and the Disclosure Policy on 4 September 2026.

LawPro.ai
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.

Accuracy is the vendor's headline claim and it is asserted rather than measured. A dedicated page describes Hallucination Prevention Technology as a patent-pending framework embedded in the platform that helps ensure outputs are grounded in verified source documentation before they are presented, and that helps reduce the risk of unsupported or misleading outputs. Every sentence describing it is in that register: helps ensure, helps reduce, supports, strengthens. No mechanism is described, no validation method is named, no accuracy figure appears, no test set is described, no evaluation is published and no error rate is given, so nothing on the page can be tested by a reader. Grounding is real in the product sense, since outputs are repeatedly described as citation-backed and Case Assistant answers straight from the record, but no retrieval method is described anywhere, which is what the band above requires. One detail belongs on the record because it bears on how much weight the page carries: the same HPT page is padded with unedited website-template content, including two sales-pipeline sections headed for lead stages and sales bottlenecks and carrying lorem ipsum placeholder text.

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.

Codes Health
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.

Real review surfaces are published and the threshold at which the system runs alone is not. Three concrete 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's desk, and the firm has real-time request status with updates for every fax and call plus a full audit trail on every action. The limitation worth naming is whose oversight it is. 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. Against the review claims sit daily automated follow-up workflows that plainly run unattended and a customer account stating the case manager did not lift a finger, and no published material reconciles the two by stating where the automated boundary sits. That unstated threshold is the limb this band names as commonly absent, and the two claims together are the evidence for it rather than an argument against it. No abstention behavior and no confidence signal is described.

LawPro.ai
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.

A review surface is built into the output and the threshold is never stated. The strongest oversight feature is architectural rather than promised: outputs are citation-backed to the underlying record, so a lawyer can trace an assertion to the page it came from, and the vendor states that its reports and chronologies are auditable so attorneys can review, verify and explain every AI-generated insight to clients. That is a real control and it is what lifts this above an asserted human-in-the-loop. What is missing is the structure around it. Nothing states which outputs require review before use, what the system does when it cannot ground a finding, or what happens after an error. Two of the vendor's own claims sit against each other without being reconciled: documents are described as ready-to-send in minutes, while the same estate frames outputs as insights an attorney verifies. Following the treatment for a vendor's own statements conflicting, the conflict is not the deduction; what it reveals is that the point at which a drafted demand leaves the firm unreviewed is unstated, and that is the limb this band names as commonly absent.

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.

Codes Health
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.

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, whose account is operationally specific, describing 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, and 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 any named firm, none carries a date, and the two 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 with each other: the home page states one to two weeks and the state guides state 3 to 5 days.

LawPro.ai
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.

Named firms carrying figures, with no dates and no method, which is unusually strong on attribution and short on everything that would let a reader test it. Zipin, Amster and Greenberg LLC is named against two figures, twice the demands written per week and eight times faster medical record processing. A second named customer, BIPA, carries 20 percent more cases processed and a 33 percent increase in case value. Three testimonials are attributed by first name, role and firm: Michelle S. at Aaron Law Group, Liz G., a paralegal at Patterson Dahlberg Injury Lawyers, and Shelby P., a paralegal at Fleschner, Stark, Tanoos and Newlin, whose account is quantified, reporting a full day a week saved for each of three support staff. This exceeds what the band's own words describe, since the band contemplates a named customer without figures or figures without the named customer and this record has both joined. It falls short of the band above on two limbs rather than one: nothing is dated, and no method is published for any figure, so a reader cannot assess what was measured or over what period. A separate set of larger claims is unattributed entirely, running to a 60 percent boost in case value, 20 percent more cases with no additional resources, 90,000 dollars additional revenue per lawyer and 50 hours saved per case. The customers and testimonials pages were not opened in this pass and are the cheapest available upgrade on this record.

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.

Codes Health
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.

Substantive and specific commitments, published where a buyer can read them before signing, and none of them 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, that there is no data sharing between clients, that PHI is encrypted end to end with AES-256 at rest and TLS 1.2 or above in transit, that role-based permissions restrict who sees case data with a full audit trail on every action, and that Business Associate Agreements are executed with all relevant vendors. That answers training use and separation between customers, which is more than the band below describes. Two things hold it here. No privilege or work product treatment appears anywhere, and that limb is required rather than satisfied by a strong confidentiality regime. And the finding a buyer should see is that the two legal instruments the company publishes both scope themselves away from the product: the Terms of Use govern the marketing site, which it defines as a place for current and prospective customers to access information about the services, and the Privacy Policy states it 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.

LawPro.ai
CC on Privilege and Confidentiality PostureConfidentiality is asserted in general terms, or the commitment lives only in a sales conversation and cannot be read in advance.

Confidentiality is asserted in general terms and no commitment can be read before signing. The product ingests complete medical files and case material for injury claimants, which is privileged and protected health information in the same documents. What is published about it is a HIPAA compliance badge in the footer and a statement in the vendor's own blog that all medical records and client data are protected with industry-leading encryption and strict privacy controls. That is the whole of it. The site publishes no terms of service, no customer agreement, no privacy policy, no data processing addendum and no business associate agreement; the navigation and footer were inventoried across four pages on 4 September 2026 and the only contract-adjacent document is a four-sentence Fulfillment Policy, published to satisfy a payment processor, which addresses cancellation and final billing and refers the reader to the cancellation terms in their signed contract. That contract is not published, which is exactly the position this band describes: the commitment exists in a sales conversation and cannot be read in advance. No privilege or work product treatment, no statement on training, no retention position and nothing on segregation between firms was located.

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.

Codes Health
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.

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 or maintain competence over it. The Terms of Use disclaim warranties and describe permitted use of the website, and one clause reads oddly against a business product by restricting the site to personal and non-commercial use; none of it speaks to legal work. The absence bites harder than it would elsewhere because of what the product emits: medical chronologies and extracted case insights covering diagnoses, breaches in care and future expenses, which are inputs to a demand package rather than a filing cabinet. The band above does not fit, since it describes a boilerplate disclaimer sitting in the terms, and no such disclaimer exists here. 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.

LawPro.ai
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.

Nothing published addresses the advice line, on a product that drafts the documents a claim is presented through. LegalDocs produces demand letters, mediation statements, arbitration statements and deposition preparation material, and SpecialsAI is sold on the promise that a firm can instantly know what a case is worth, which is a valuation judgment. Against that there is no statement that the company is not a law firm, no disclaimer that output is not legal advice, no description of the professional judgment a lawyer must apply before sending a drafted demand, no jurisdiction limit and nothing on supervision or competence. There are no terms of service on the estate in which such a disclaimer could sit, so this is not a case of a disclaimer buried in an agreement. The audience is bounded only by marketing framing, the site describing the product as built by lawyers for lawyers. The band above does not fit, because it describes a boilerplate disclaimer sitting in the terms alongside advice-flavoured marketing, and no disclaimer exists at all. Searched the home page, the seven module pages reached through the navigation, the HPT page, the free trial page, the Fulfillment Policy and the footer inventory on 4 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.

Codes Health
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

No governance position of any kind was located. There is no responsible AI page, no principles statement, no management system, no named person or function accountable for model behavior, no pre-release testing regime, and nothing at all on uneven output across matter types, injury types or populations. The navigation and footer were inventoried across the full estate on 4 September 2026 and the only policy documents published are the Terms of Use, the Privacy Policy and a Responsible Disclosure Policy, none of which 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 and it is credited on the privilege row rather than counted twice here. The gap is pointed on a product that extracts clinical findings from records belonging to injured claimants and flags which of them matter to a case.

LawPro.ai
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

No governance position of any kind was located. There is no responsible AI page, no principles statement, no accountable owner named, no pre-release testing regime, no management system and nothing on uneven output. Hallucination Prevention Technology is the nearest artifact and it is an accuracy and output-quality claim rather than a governance framework; it names no owner, no testing program and no results, and it is graded on the accuracy row rather than counted twice here. The gap is pointed on this product class specifically, because the system extracts clinical findings from injured claimants' records and produces a valuation of what a case is worth, and nothing published addresses whether that valuation performs evenly across injury types, treatment histories or claimant populations. The navigation and footer were inventoried on 4 September 2026 and carry no governance, ethics or responsible AI surface.

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.

Codes Health
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

Access control is published in real detail, retention and deletion are absent entirely, and the usual route to a better grade is closed by the vendor's own drafting. What is published: AES-256 at rest, TLS 1.2 or above in transit, PHI encrypted end to end, single sign-on, role-based permissions restricting case data to authorized users, 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 real published process with committed timelines, acknowledging a vulnerability report within seven business days and triaging within ten, with a safe-harbour authorization and named exclusions, and its scope clause expressly reaches subdomains, services and applications rather than stopping at the website. What is absent is the rest of the set. No retention period is stated for retrieved records, chronologies or prompts; no deletion or return-of-data commitment for case material exists; no subprocessor is named anywhere, only an assertion that BAAs are executed with all relevant vendors; and no cloud provider is identified. The band's usual shape does not describe this record and the note says so rather than smoothing it: this is not a generic privacy policy stretched over the product, it is a privacy policy whose first line states it applies solely to information collected by the website, so nothing published governs client data in normal operation.

LawPro.ai
DD on AI Safety and Data StewardshipNothing published on retention, deletion or access for a system that holds client documents.

Nothing published addresses retention, deletion or access for a platform built to hold complete medical files. There is no privacy policy on the estate, no security page, no trust center and no data processing addendum; the footer inventory carries About, Contact, Pricing, the platform index, a Fulfillment Policy and Careers, and nothing else. No retention period is stated for uploaded records, generated chronologies, drafted documents or the questions a user puts to Case Assistant. No deletion or return-of-data commitment exists. No subprocessor is named, no cloud provider is identified, and no encryption specification, access control model, audit logging or incident practice is described anywhere. What is published is a HIPAA badge in the footer and a general assertion in a blog post that records and client data are protected with industry-leading encryption and strict privacy controls, which names no control. The band above does not fit, because its words describe a generic privacy policy covering the product without saying what happens after processing, and here there is no privacy policy at all.

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.

Codes Health
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

Nothing published addresses who bears the loss when the product is wrong. The Terms of Use do contain a full allocation of loss, and it is recorded here so a reader who finds it sees it was weighed: the service is provided as is with all warranties disclaimed, liability for consequential damages is excluded and capped in any event 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, so none of it reaches a missed record, an inaccurate chronology or a wrongly extracted case insight, and crediting it as a product liability position would misdescribe what a buyer is actually reading. No customer agreement, service level commitment on accuracy, indemnity, warranty on output or insurance position was located on any surface. The band above does not fit, because its words require a limitation clause that disclaims the exposure the product creates, and this clause does not reach the product at all. Searched the Terms of Use, the Privacy Policy, the Disclosure Policy, the home page, the Filevine page and the FAQ on 4 September 2026.

LawPro.ai
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

Nothing published addresses who bears the loss when the system is wrong. No terms of service, customer agreement or master subscription agreement appears anywhere on the estate, so there is no indemnity, no liability cap, no warranty position, no disclaimer of warranties, no insurance statement and no service level commitment to read. The single contract-adjacent document is the Fulfillment Policy, four sentences published to meet a payment processor's requirement, which states that customers may cancel by giving notice as set out in their contract and that outstanding balances for services rendered fall due on cancellation. It allocates nothing. Everything else is deferred to a signed contract that is not published, so a buyer cannot establish before a sales process what the vendor stands behind when a chronology omits a treatment, a cost itemization understates specials, or a drafted demand misstates the record. The band above does not fit, since it requires a standard limitation clause disclaiming the product's exposure and there is no clause. Searched the full navigation and footer inventory across four pages, and the Fulfillment Policy, on 4 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.

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

One named integration described at workflow level, with no depth behind it. Codes Health publishes an exclusive partnership with Filevine and a dedicated page for it, stating that record retrieval is integrated directly into the case system so a firm can request, receive and review records inside Filevine, described as a custom Filevine partner workflow. That is a named connection with a stated function rather than a logo, which is what lifts it off the band below. 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. What is missing is everything an implementer would need: no statement of what syncs, in which direction, on what trigger, or what a firm must configure; no integrations page, no developer documentation and no API. One limit belongs on the record. The FAQ carries the question of whether the product works with a firm's existing case management system, and the answers on that page did not render for retrieval, so the question was located and its answer was not.

LawPro.ai
CC on Practice Systems Integration DepthIntegrations are listed as logos or marked as coming, with no documentation an implementer could use.

Integration is claimed throughout and no documentation an implementer could use was located. The estate states that a firm can seamlessly integrate with existing software and securely upload files in seconds, and a first-party announcement records a strategic partnership with SmartAdvocate, a case management platform, directed at connecting medical record automation to case management. A second announcement states that case management integrations have improved without naming what changed. That is a named counterparty and a stated direction of travel, which is real, but nothing published states what syncs, in which direction, on what trigger, or what a firm must configure, and no API, developer documentation or field mapping appears anywhere. The vendor's own free-trial FAQ frames the product as requiring none of this, saying it is a web-based platform, that no integration work is required, and that a customer receives login credentials and is working within a couple of clicks, which describes ease of onboarding rather than depth of connection. A dedicated integrations page exists in the navigation and was not opened in this pass; it is named here as the limit, and the grade rests on the material that was read.

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.

Codes Health
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

Cloud delivery is implied and neither limb is stated for the product. The security section says the platform is hosted with enterprise-grade infrastructure and carries multi-region redundancy with a 99.9 percent uptime SLA, which is a resilience statement rather than a residency one: it says copies exist across regions without naming a region or offering a buyer a choice. No cloud provider is identified anywhere. Tenancy is untouched, with nothing stating whether the platform is single or multi-tenant and no dedicated or isolated option described. The one residency sentence on the estate is in the Privacy Policy, stating 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, and it is not credited here because that policy applies by its own terms to website Personal Data rather than to claimant records. Where the AI processing happens is a separate silence, since no model provider is named at all. The record is a customer application at a published subdomain with its own login, so delivery is not in doubt; the tenancy and the region are.

LawPro.ai
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

Cloud delivery is stated plainly and neither of the two limbs is addressed. The vendor describes the product as a web-based platform reached with personalized login credentials, with a separate application host for the live product, so there is no ambiguity about how it is delivered and no on-premises or self-hosted option is offered or mentioned. Beyond that nothing is published. No statement says whether the platform is single or multi-tenant, no dedicated or isolated tenancy option appears at any tier, no region is named for storage or for processing, no cloud provider is identified, and no data residency commitment exists, which is a live question for a platform holding protected health information for US claimants. The only geographic fact published anywhere is the company's own address in Los Angeles, which locates the company rather than the data. With no security page and no agreement on the estate, there is no surface on which either limb could have been answered.

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.

Codes Health
CC on Security Certifications and Trust CenterBadges appear on the site with no scope, no date, and no report available.

A compliance claim displayed as a credential, with no scope, no date and no report. HIPAA compliance is presented in the home page hero as one of three headline stats, reading fully compliant, and repeated in the security section. HIPAA is a statutory obligation 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 and names no testing firm, no date, no scope and no 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 on the estate. The only route offered is the line that full compliance documentation is available on request, with no self-service mechanism and no form, only a general contact address, so it earns no credit as an access flow. The band below does not fit, because it requires that no independent attestation be located at all and the site does present a compliance credential; what is missing is everything that would let a buyer test it. Nothing is machine-blocked here: the estate rendered in full and this is an absence rather than a retrieval limit.

LawPro.ai
CC on Security Certifications and Trust CenterBadges appear on the site with no scope, no date, and no report available.

Two badges in the footer, and nothing behind either of them. The footer carries a HIPAA compliance mark dated 2026 and an AICPA SOC for Service Organizations mark, presented as images on every page. Neither is accompanied by a scope statement, an examination period, a named auditing firm, a report, or a route to request one. No trust center or security page exists on the estate, and the navigation and footer inventory carry no compliance surface at all, so there is nothing gated to request and this is an absence rather than a retrieval limit. The distinction that matters to a buyer is not drawn anywhere on the site: HIPAA is a statutory obligation the company self-attests to, while a SOC examination produces a dated report with a defined scope, and displaying the AICPA mark without naming the type, the period or the auditor tells a firm nothing about which systems were examined. No business associate agreement is offered despite the HIPAA claim. This is the band its words describe: badges on the site with no scope, no date, and no report available.

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.

Codes Health
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

The vendor refers to its models repeatedly and identifies nothing underneath them. The estate speaks of an agentic retrieval system, medical-grade AI, and the first legal grade AI for medical records, and 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, no version, no provider, no hosting arrangement and no processing location is named on any page, and no commitment to notify customers if any of that changes was located. The nearest thing to supply chain disclosure is the statement that Business Associate Agreements are executed with all relevant vendors, which concedes that third parties touch protected health information while naming none of them. This is the middle band rather than the floor because the vendor does describe an architecture and does claim models of its own; a buyer simply cannot learn from any published source whose model reads a claimant's medical file.

LawPro.ai
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

The vendor names its own framework and identifies nothing underneath it. Hallucination Prevention Technology is presented as a patent-pending proprietary framework embedded in the platform, and the rest of the estate refers to our AI platform, artificial intelligence automation and AI technology. No model is named, no provider is named, no version is given, no processing location is stated, and no commitment to notify customers if any of that changes was located. This is a product that reads protected health information, so which provider's model sees a claimant's medical file is a question a firm would need answered for its own compliance position, and no published source answers it. Nothing identifies a hosting arrangement either, and with no subprocessor list and no privacy policy on the estate there is no secondary surface where the supply chain might have surfaced. This is the middle band rather than the floor because the vendor does describe a proprietary architecture and claims a framework of its own.

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.

Codes Health
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.

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, with no per-page markups, no charge for follow-ups or status checks, no charge for re-requests caused by provider issues, and AI-generated chronologies included in the service rather than priced separately, closing with an instruction to contact the company for current pricing. That is a unit of charge and a clear inclusion boundary, which is why the floor band does not fit: something real is published about how a buyer would be charged. What is absent is the number, and everything around it: no rate, no band, no minimum, no term, no volume tier and no implementation cost. The material is also inconsistent about its own strongest claim, with one state guide calling the pricing transparent while the same section directs the reader to a sales conversation to learn it. A buyer can describe the shape of the invoice before contacting the company and cannot estimate it.

LawPro.ai
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

No pricing information is published at any level, and the page that should carry it is broken. Pricing appears in the main navigation and again in the footer, and both links resolve to a 404 error, confirmed on 4 September 2026. Every other commercial route on the site is a form: start a free trial, request a demo, or speak with an expert. The nearest thing to published commercial information is a block headed with what is included in the plan, listing an onboarding session, AI-generated summaries, medical timelines and billing, an AI chat assistant and a dedicated customer success manager. That is an inclusion list with no figure, no unit of charge, no term and no tier structure, so a buyer cannot learn whether the product is charged per seat, per case, per page or per firm. The Fulfillment Policy confirms that commercial terms live in an individually signed contract. No pricing row is owed on this record, because nothing published lifts this off the floor of the band.

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.

Codes Health
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.

The buyer is stated without ambiguity and the boundary is left open. Every surface names plaintiff law firms, with personal injury and mass tort practice named throughout and the workflow described in that idiom: pre-litigation, demand packages, settlement negotiation, case intake and acceptance decisions. Jurisdictional coverage is documented in unusual depth for a vendor this size, with retrieval claimed in all fifty states and individual state and city guides setting out facility-level submission requirements, statutory response windows and fee schedules for named hospital systems, which is a substantive coverage statement rather than a claim of breadth. 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, no practice area is identified as unsuitable, and no matter type is excluded. A separate surface addresses healthcare providers about their own intake process, which is a second audience the coverage material does not reconcile with the plaintiff-firm framing.

LawPro.ai
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.

The buyer is stated precisely and narrowly, and the edges are left open. The navigation divides the market into three named segments the product is built for: personal injury firms, healthcare networks, and revenue cycle operations, each with its own page, which is an unusually clear statement of who is being sold to and rare in that it names two non-legal buyers alongside the legal one. Within legal the scope is personal injury and injury claims throughout, with no attempt to claim coverage of other practice areas, and the workflow described is specific to that practice: intake through medical record review, chronology, specials itemization, demand, mediation and arbitration statements and deposition preparation. What is absent is any boundary. Nothing states a firm size the product suits or does not, nothing identifies a claim type or record type it should not be used on, and nothing addresses defence-side or insurer use, which is a live question given that the same platform is sold to healthcare networks and revenue cycle operations whose interests can sit opposite a claimant's.

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?

Codes Health
Never, in policy only

A clear commitment on a product page, with no agreement 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 agreement search that this value requires was run: the only instrument published is the Terms of Use, which by its own definition governs the marketing website rather than the service, and it contains no training, machine learning, de-identification or aggregate use clause of any kind.

Two limits belong on the record. The Privacy Policy reserves the right for the vendor and its business partners to continue using de-identified data indefinitely, but 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 recorded rather than treated as a permission over client records. And nothing published states what any third-party model provider may do with content, because no provider is named.

LawPro.ai
No agreement published

No agreement is published. The estate publishes no terms of service, no customer agreement and no privacy policy, so there is no instrument in which a training permission or prohibition could sit, and no product or marketing page states that customer content does or does not train models. The agreement search this value requires was run against the full page inventory rather than assumed: the navigation and footer were walked across four pages on 4 September 2026 and the only contract-adjacent document is a four-sentence Fulfillment Policy addressing cancellation and final billing, which defers all other terms to an unpublished signed contract.

Nothing turns on de-identification or aggregation because no clause of any kind was located. The absence is worth stating in its own terms: the material at issue is complete medical files belonging to injury claimants, uploaded by the firms that represent them.

Prompt and Output Retention

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

Codes Health
Not addressed

No located public material states how long anything the product handles is kept. 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.

LawPro.ai
Not addressed

No located public material states how long anything is kept. Uploaded medical records, generated chronologies, cost itemizations, drafted demands and the questions a user asks Case Assistant all plainly persist, since the product is built around returning to a case file over time, and no period, configuration option, deletion route or return-of-data commitment attaches to any of it. There is no privacy policy on the estate in which a retention section could sit, and the Fulfillment Policy addresses only cancellation notice and final billing, saying nothing about what happens to a firm's uploaded files when the relationship ends.

Searched the home page, the seven module pages, the HPT page, the free trial page, the Fulfillment Policy and the full footer inventory on 4 September 2026.

Ethical Walls and Matter Segregation

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

Codes Health
Claimed, not documented

Separation is asserted in specific terms and no published detail says how it is enforced. Three statements bear on it, all in the security section: 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 is an assertion about both customer-level separation and in-firm access.

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

LawPro.ai
Not addressed

No located public material addresses walls or separation between firms, users or matters. 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 access control is mentioned on any product page. The nearest published facts concern access rather than partition, and they are thin: a customer receives personalized login credentials and works in a browser.

The question has an unusual edge on this record, because the same platform is sold to healthcare networks and revenue cycle operations as well as to plaintiff firms, and nothing published addresses whether and how data belonging to those different customer types is kept apart. Searched the home page, the module pages, the HPT page, the free trial page and the footer inventory on 4 September 2026.

Third Party Request and Subpoena Notice

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

Codes Health
Disclosure addressed, notice absent

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, and 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 on the estate. The nearest statement runs to consent rather than notice and is self-limiting, saying prior consent will be sought before disclosure to a third party only where required by law. One scope limit is material and is recorded rather than resolved: this provision sits in a policy that applies by its own terms to Personal Data collected from website Users, so nothing published addresses what happens when a claimant's medical records held in the platform are demanded by process.

LawPro.ai
Not addressed

No located term or policy addresses third party requests for customer data. There is no terms of service, no privacy policy and no data processing addendum on the estate, so nothing sets out what the vendor does when a subpoena, a warrant or a government demand reaches a claimant's medical file held in the platform, and nothing commits to or reserves discretion over telling the customer. No transparency report exists.

The confidentiality section of a master agreement is where this signal's evidence normally lives, and on this record no master agreement is published at all. Searched the full navigation and footer inventory across four pages, the Fulfillment Policy, and the free trial FAQ on 4 September 2026.

Primary Law Corpus Provenance

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

Codes Health
Not addressed

No located material identifies a corpus, and the question does not bite on this product class. 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. The value is the honest absence rather than a finding against the vendor.

Searched the home page, the Filevine page, the Use Cases page, the FAQ and the three published policies on 4 September 2026.

LawPro.ai
Not addressed

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, bills and case documents, uploaded by the firm; the product does not retrieve or present primary law, so there is no case law source, statutory database, publisher or licensed reference set behind its output. Recorded as the honest absence rather than a finding against the vendor. Searched the home page, the seven module pages and the HPT page on 4 September 2026.

Good Law Verification

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

Codes Health
Not addressed

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. One adjacent practice is worth recording so a reader sees it was considered: the vendor publishes state and city guides that 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, no verification or currency check is described for any of it, and it is not credited here. Searched the home page, the Use Cases page, the FAQ, the state guides and the three published policies on 4 September 2026.

LawPro.ai
Not addressed

Nothing addresses checking authority for subsequent history, and the product neither retrieves nor cites primary law. Its citations run to the client's own uploaded records rather than to cases or statutes, and its outputs are chronologies, cost itemizations, case summaries and drafted demand and deposition material. The value is the honest absence rather than a finding against the vendor. Searched the home page, the seven module pages, the HPT page and the free trial page on 4 September 2026.

Refusal and Uncertainty Behavior

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

Codes Health
Not addressed

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 grounding score shown to a user, and no description of behavior where a record is illegible, contradictory or incomplete. One feature comes close in name and answers a different question: missing-record detection flags gaps in the treatment history, which is the product reporting an absence in the source material rather than an absence of confidence in its own output, and it is recorded here rather than credited.

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

LawPro.ai
Not addressed

No located material describes what the system does when it cannot ground an answer, and the nearest artifact was weighed and declined. Hallucination Prevention Technology is described as helping ensure that outputs are grounded in verified source documentation before they are presented to users, which asserts a validation gate ahead of display. What is never stated is the behavior on the other side of that gate: nothing says whether an ungrounded finding is suppressed, flagged to the user, retried, or returned with a caveat, and no abstention path, no-answer state or confidence signal is described anywhere.

A framework that claims to catch unsupported output without saying what it then does is an accuracy claim rather than a documented uncertainty behavior, and it is graded on the accuracy row instead. Searched the HPT page, the home page, the module pages including Case Assistant, and the free trial page on 4 September 2026.

Fabricated Citation Record

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

Codes Health
None located

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.

LawPro.ai
None located

The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on the product name LawPro and on the corporate name LawPro.ai, Inc. No court order, opinion or disciplinary record naming the product or the company was located. This records the state of the public record on that date and is not a finding about the product.

Bar Guidance Alignment

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

Codes Health
Not addressed

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 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.

LawPro.ai
Generic reference

Professional responsibility is engaged in general terms and no authority is named. The vendor's blog material on medical record review frames the question for firms as not whether to adopt AI but how to do so ethically and responsibly, states that legal professionals rightly demand more than efficiency, and claims uncompromising ethical standards and support for firms reviewing records responsibly. That is a genuine engagement with the professional dimension rather than silence, which is why this sits above the floor.

What is absent is any authority: no bar association, no rule of professional conduct, no ethics opinion and no jurisdiction-specific guidance is named anywhere, and nothing maps a firm's obligations when a drafted demand or a case valuation produced by the platform is relied on. There is no terms of service in which such a mapping might otherwise have appeared.

Billing and Fee Posture

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

Codes Health
Client cost pass through

Time and money claims are published throughout and nothing addresses what a client is told. The estate carries 80 percent less manual review, 50 percent more case capacity, 1.7x larger settlements, an account of time saved being redirected to client service, and repeated cost arguments that do-it-yourself retrieval costs more than it appears once staff time, resubmissions and missed records are counted. None of it reaches the question.

No per-matter record of AI-assisted work is described as available to a firm, no guidance on fee or disclosure treatment is published, and nothing addresses how the cost of the service or the compression of preparation time should be handled with the client. The direction of the question is unusual on this record and is recorded rather than smoothed: the buyers are contingency-fee plaintiff firms, for whom this is a case expense advanced and later recovered from a settlement, so the live disclosure question is what a client is charged and told about an AI-assisted service, and the vendor's flat-fee, all-inclusive structure is published without any accompanying position on that.

LawPro.ai
Savings claims only

Time and money claims are published throughout and nothing addresses the bill. The estate carries 50 hours saved per case, 90,000 dollars additional revenue per lawyer, twice the demands written per week at a named firm, a claim that law firms collectively spend six billion dollars a year on case support costs that can now be automated, and an account of three support staff each saving a full day a week. None of it reaches the question.

No per-matter record of AI-assisted work is offered to a firm, no guidance on fee or disclosure treatment is published, and nothing addresses what a client is told when the chronology and the demand behind their settlement were machine-drafted. The direction is worth recording on this record specifically: the buyers are contingency-fee plaintiff firms, so compressed preparation time does not reduce a client's bill, and the vendor's own framing is that the saved time converts into more cases and higher revenue per lawyer.

Outside Counsel Guideline Readiness

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

Codes Health
On request only

A stated request route and nothing published that 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, which is the route; there is no self-service portal, no form and no named document set, so what that documentation contains was not established. What is published falls short of the artifacts this signal names.

No subprocessor list exists, no cloud provider is identified, and no model provider is named anywhere, so a firm cannot tell a client whose model processes its clients' protected health information. There is also 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, which is useful to a firm and is not the provider disclosure a client AI clause asks for.

LawPro.ai
Not addressed

No located public material would let a firm answer a client's AI clause. No subprocessor list is published, no model or model provider is named, no cloud provider is identified, and no data processing addendum, business associate agreement or consent pack exists on the estate, so a firm cannot state whose model reads its client's medical file or which third parties touch it. There is no route offered to request any of it: no trust center, no security page, no compliance documentation link, and no statement that such material is available on request, which is what separates this from the value above it.

One counterparty is named in first-party material, SmartAdvocate, and it is a case management partner rather than a supplier that processes client content on the vendor's behalf, so it is recorded rather than credited. Searched the full navigation and footer inventory across four pages on 4 September 2026.

Court Disclosure Support

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

Codes Health
Not addressed

No located material addresses producing a record of AI-assisted work for a tribunal or a client. 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.

LawPro.ai
Partial record

Elements of a record exist as a property of the output, short of anything built for disclosure. Outputs are citation-backed to the underlying medical record, and the vendor states that its reports and chronologies are clear and auditable so that attorneys can review, verify and explain every AI-generated insight to clients. That is a per-assertion trace from a machine-generated statement to the source page it rests on, which is a real element of the record this signal contemplates and is different in kind from a platform activity log.

What is missing is the rest of it: no model or version is identified against any output, nothing marks which parts of a drafted demand or chronology were machine-generated, no record of human verification is captured, and no export is designed or described for producing any of it to a tribunal or a client. No guidance or template on disclosing AI-assisted work is published, and with no terms of service on the estate there is no instrument addressing it either.

What neither one publishes

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.

Axes where neither earns credit
  • UPL and Professional Responsibility Posture
  • AI Governance and Bias Disclosure
  • AI Liability and Recourse
Signals neither addresses in public material
  • Prompt and Output Retention
  • Primary Law Corpus Provenance
  • Good Law Verification
  • Refusal and Uncertainty Behavior

Which one fits

Choose Codes Health if

  • You want the records retrieved, not just read. Codes Health validates each authorization, submits to every provider in its required format, chases daily until records arrive, shows status for every fax and call, and flags gaps in the treatment history.
  • Your firm runs on Filevine. Codes Health has an exclusive partnership that puts requesting, receiving and reviewing records inside Filevine itself.
  • You want a flat fee per request. Codes Health charges one fee per records request regardless of volume, with follow ups, repeat requests caused by providers and AI chronologies included; the figure is quoted on inquiry.

Choose LawPro.ai if

  • You want the demand drafted from the records. LawPro.ai's LegalDocs turns records into demand letters, mediation and arbitration statements and deposition preparation material, and SpecialsAI itemizes every medical cost.
  • You want to question the file in plain English. LawPro.ai's Case Assistant answers questions from the records with citations back to the source, alongside an interactive chronology and a per document view of each file.
  • You want named peers with numbers. LawPro.ai names Zipin, Amster and Greenberg at twice the demands written per week and eight times faster record processing, and a paralegal at Fleschner, Stark, Tanoos and Newlin reporting a day a week saved per staff member.

In summary

Codes Health

Codes Health, based in Brooklyn, New York, retrieves and reviews medical records for plaintiff personal injury and mass tort firms, validating authorizations, submitting to each provider and chasing requests daily across all fifty states, then producing chronologies, encounter and bill summaries and extracted case insights verified by humans. The AI Legal Index grades it in the top two bands on six of fifteen capability axes. It has an exclusive Filevine partnership, states that customer data never trains its models, charges a flat fee per request, and states HIPAA compliance. As of 4 September 2026 the index located no customer agreement, retention period, named model or price figure.

Source: AI Legal Index, 2026

LawPro.ai

LawPro.ai, based in Los Angeles, reads a personal injury client's uploaded medical file and returns a categorized chronology, case summary, itemized medical costs and drafted demand, mediation and deposition material, through modules including TimeLineD, SpecialsAI, LegalDocs and a Case Assistant that answers with citations. It is also sold to healthcare networks and revenue cycle operations. The AI Legal Index grades it in the top two bands on four of fifteen capability axes, with an A on AI centrality. It markets a patent pending grounding framework and names Zipin, Amster and Greenberg among customers. As of 4 September 2026 the index located no terms, privacy policy, named model or price.

Source: AI Legal Index, 2026

Questions buyers ask

Codes Health vs LawPro.ai: which is better for personal injury firms?

Codes Health sits in the top two bands on six of fifteen AI Legal Index capability axes and LawPro.ai on four of fifteen, identical on ten. Codes Health gets the records from providers and publishes more on data handling, with a Filevine integration. LawPro.ai drafts more of the case from records a firm already holds. Firms that struggle to obtain records have more to use in Codes Health.

Do Codes Health and LawPro.ai train on medical records?

Codes Health states that customer data is never used to train its models, that AI processing is scoped to each customer's own cases, and that no data is shared between clients; no customer agreement is published to carry that. LawPro.ai publishes nothing on training either way and has no published agreement or privacy policy. 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 are Codes Health and LawPro.ai priced?

Codes Health charges a flat fee per records request, not per page, with follow ups, repeat requests caused by providers and AI chronologies included; the figure is quoted on inquiry. LawPro.ai lists a plan including onboarding, summaries, timelines, a chat assistant and a customer success manager, but its pricing page returned an error and no figure is published. 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 is LawPro.ai's Hallucination Prevention Technology?

LawPro.ai describes it as a patent pending framework that helps ensure outputs are grounded in source documents before users see them. It publishes no mechanism, validation method, accuracy figure or evaluation, and says nothing about what happens to a finding that fails the check. Codes Health instead states that human staff verify AI insights before delivery. 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 Codes Health and LawPro.ai both leave unpublished?

A retention period, a named model and a liability position for the product. Neither states how long medical records or generated documents are kept, neither names the model that reads them, and neither publishes terms covering what happens when a chronology or demand is wrong. Neither states that its output is not legal advice. 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.

Disclosure

Three readings to weigh. Codes Health's terms of use and privacy policy are scoped to its website, so its commitments on training, separation and encryption sit on product pages with no published agreement behind them. LawPro.ai publishes no terms or privacy policy at all, its pricing links returned an error, and its SOC badge carries no type, period or auditor. Neither names the model that reads a claimant's records. Both were verified on 4 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.

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 303 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
September 26, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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