Supio Pricing
Short answer: Supio does not publish a price. There is no rate card, no per-seat figure, and no per-case figure on its website, and the company directs prospects to book a demo. To build a budget line today, you will need a quote.
So the rest of this guide covers what you can work with: everything Supio has disclosed about how it charges, why the figures circulating in third-party comparisons are unreliable, and what will determine the number you are eventually quoted.
One thing to establish before comparing costs: Supio is a litigation analysis and drafting platform. It does not retrieve medical records. Firms obtain those separately, either through an internal team or a retrieval provider, which means a Supio quote is not your whole pre-litigation number. Codes Health works the retrieval side, using a flat fee structure for record retrieval and AI-powered analysis.
Key Takeaways
Supio does not publish numerical pricing on its website and directs prospective customers to book a demo, so firms need to contact the company for current rates
Supio announced a risk-free pricing model in September 2025, saying customers could try the platform without the long-term contract approach common in legal technology, though it did not publish numerical rates
Third-party comparison sites circulate per-user monthly estimates for Supio, but these trace to general legal AI market ranges rather than to Supio, and the company has not confirmed them
Supio has raised $91 million in total funding, including a $60 million Series B announced in April 2025
Supio is a litigation analysis and drafting platform and does not retrieve medical records, so firms budgeting for pre-litigation need to price retrieval separately
Gartner predicts more than 40% of agentic AI projects will be canceled by the end of 2027 because of escalating costs and unclear business value or inadequate risk controls, which makes cost predictability a real factor in firm technology decisions
Codes Health uses a flat fee pricing structure covering retrieval, AI analysis, chronologies, and human review, with no per-page charges
Codes Health pairs AI-powered retrieval with human verification and works toward complete records in a couple of weeks
Understanding Codes Health's Value in Medical Record Retrieval
The Core Offerings of Codes Health
Legal AI software for personal injury firms has to solve two different problems: getting the medical records and pulling something useful out of them. Many platforms work only on the analysis side. Codes Health handles both, running the workflow from authorization submission through case chronology generation.
The platform reaches providers through several channels, including custodian integrations, patient portals, claims clearinghouses, and traditional methods like fax and phone. That mix matters because no single access method covers every provider. A large hospital system might respond to an electronic query quickly while a small private practice needs persistent phone follow-up over a couple of weeks.
Worth flagging: services advertising same-day retrieval generally return only the records already sitting in an electronic channel. The rest of the treating history goes back to the firm and the client to chase down, and that added client involvement is a meaningful driver of churn, according to Codes Health.
AI-powered validation catches errors before they turn into delays. Incomplete authorizations are a leading cause of denied requests. Missing patient signatures, unclear expiration dates, or unchecked boxes for sensitive record categories send a request back and restart the provider response clock. Under the federal HIPAA right of access standard, a covered entity generally has 30 days to respond, with one possible 30-day extension, and shorter state deadlines may apply. The Codes Health system automatically flags misspellings, missing dates of service, and signature issues that would otherwise trigger provider rejections.
How AI Enhances Legal Document Workflow
General AI platforms like ChatGPT are not designed for litigation-grade medical record review. Terminology, treatment protocols, and documentation standards vary a lot across providers and specialties. A platform built specifically for legal medical record analysis handles those nuances and extracts the details that actually affect case valuation, which is where Codes Health's purpose-built AI works with high precision.
Codes Health generates AI-automated case chronologies that organize records by visit date, grouping patient encounters with associated billing documents. That structure exposes gaps in treatment or documentation, so legal teams can request specific missing records instead of firing off broad retrieval requests.
The insights extraction engine pulls diagnoses, treatments, providers, dates, expenses, and care events out of unstructured medical documents. For personal injury cases, that includes flagging potential breaches in care, documenting future medical needs, and surfacing facts like missed appointments or pre-existing conditions.
A Pre-Litigation Department Without the Overhead
Tailored Solutions for Diverse Practice Areas
Personal injury cases need different analysis than mass tort matters or med mal claims. A slip and fall might involve an emergency room visit, orthopedic consults, and physical therapy, while a mass tort pharmaceutical case can span years of prescriptions and adverse event documentation across dozens of providers.
Codes Health serves seven practice areas:
Personal injury
Mass torts
Medical malpractice
Workers' compensation
Disability law
Insurance litigation
Wrongful death
Each carries distinct documentation requirements, and the platform tailors extraction to case context rather than producing generic summaries.
Reducing Overhead with AI-Powered Services
Hiring dedicated staff for retrieval and analysis creates fixed overhead that does not flex with caseload. Slow periods leave people underutilized, and case surges turn records processing into the bottleneck that delays settlements.
The Codes Health model works as a pre-litigation department without the overhead. Firms pay for retrieval and analysis as needed instead of carrying full-time headcount for variable work, and the AI and human hybrid approach covers ground that would otherwise take a nurse, a paralegal, and an assistant working in coordination.
Requests that used to stretch across months come back in a couple of weeks, which means faster demand preparation, earlier negotiations, and better cash flow for contingency practices. Codes Health reports 80% less manual review time and 50% more case capacity as customer outcomes. These are company-reported results, not independent benchmarks or guarantees, and individual results may vary.
Integrating Codes Health with Your Case Management Software
The Filevine Integration
Context switching kills productivity. When teams jump between case management software, a vendor portal, and a downloads folder, work slows and errors multiply. The Codes Health and Filevine partnership, announced in July 2026, embeds medical record retrieval directly into the case management environment where legal teams already work.
Filevine users can start a Codes Health request from the relevant case file. The integrated workflow supports:
Submitting record requests from the Filevine project
Validating authorizations, dates, and provider-specific requirements before submission
Tracking request status and provider outreach
Communicating with the Codes Health team inside the case workflow
Receiving completed medical records, billing records, and associated materials in the project
Reviewing retrieval history and completeness status without switching systems
The integration is available now. Legal teams keep a single operational record per matter instead of maintaining parallel documentation across disconnected systems.
Benefits of an Embedded Retrieval Workflow
The partnership goes beyond a standard third-party integration. Requests, status updates, communications, and completed deliverables all live in the same case file where attorneys track deadlines and prepare demands. Pre-submission validation heads off the usual rejection causes, checking authorizations for completeness, verifying date ranges against the requested treatment period, and confirming provider-specific requirements before anything goes out. Persistent follow-up then continues through calls, faxes, emails, and portals until records arrive, with visibility into completed outreach and next actions rather than periodic vendor updates.
Filevine CEO Ryan Anderson described medical record retrieval as a long-standing customer pain point that firms had been asking the company to solve for years. For high-volume customers on other systems, Codes Health can build custom integrations with CRM platforms and other medical software, so a connected workflow is not limited to one case management platform.
Empowering Legal Support Teams with AI
Tools Built for Paralegals and Legal Assistants
Paralegals and legal assistants carry most of the medical record work at personal injury firms, submitting authorizations, tracking status, organizing returned documents, and building initial summaries. Necessary work, but it eats hours per case.
The Codes Health approach delivers AI insights verified by humans. The system processes records automatically, extracting key information and organizing documents chronologically. Medical, legal, and operational specialists then validate findings and confirm that what came back matches what was requested.
That lets support staff spend time on higher-value work. Instead of reading hundreds of pages hunting for a treatment date, they review AI-generated summaries and check accuracy.
The copilot-style interface lets users ask questions about patient history rather than searching every document manually. A paralegal can ask what imaging studies were performed after the accident and get a direct answer with source citations instead of paging through radiology reports and billing records.
Missing Record Review extends this to completeness, identifying missing facilities, incomplete date ranges, and absent billing records before a record set is treated as finished, which keeps firms from building cases on partial information.
Turning Unstructured Records into Actionable Insights
Medical records arrive as scanned PDFs, exported clinical notes, handwritten physician orders, and billing statements full of procedure codes. Reading and interpreting all of it by hand burns hours per case.
The insights extraction engine converts those documents into structured data, including:
Diagnoses with codes and descriptions
Treatments and procedures with dates
Providers and facilities visited
Medical history and pre-existing conditions
Prescription medications and dosages
Care events including hospitalizations and surgeries
Documented expenses and billing information
For legal use, the system flags what matters to case strategy: potential breaches in standard of care, documented future medical needs, missed appointments, and prior injuries all surface without manual discovery.
AI-automated chronologies remove the manual sorting of thousands of pages, grouping encounters by visit date with billing attached. Codes Health reports 1.7x larger settlements as a customer outcome. Again, company-reported, and individual results may vary. Document summaries condense records into key findings while preserving links to source material, so attorneys can scan first and pull full documents when a closer look is warranted.
Comparing Legal Technology Pricing Models
How Legal Tech Pricing Is Usually Structured
Pricing models vary widely by vendor and category. Practice management platforms typically use per-user monthly subscriptions with tiered features, retrieval services charge per request, per page, or a flat fee, and AI analysis tools may price by document volume or user count.
What Supio Has Actually Disclosed
Supio sits at the opaque end. Despite $91 million in total funding, including a $60 million Series B announced in April 2025, the company does not publish numerical pricing and points prospects toward a demo. Here is the complete set of what is documented:
No numerical rate appears on the website or in primary product materials
Company materials emphasize predictable pricing and no page limits, without attaching a dollar amount
In September 2025, Supio announced a risk-free pricing model, saying customers could try the platform without the long-term contract approach common in legal technology, though it did not publish rates
Prospective customers are directed to book a demo
You will find per-user monthly figures for Supio in third-party comparison articles and vendor directories. Treat them carefully. The ranges that circulate appear to originate as general estimates for legal AI tools rather than as confirmed Supio rates, and Supio has not verified them. Building a budget on a number the vendor has never stated is how firms end up with an approval that does not survive the actual quote.
What Will Determine Your Quote
Since the number comes from a conversation, it helps to know what moves it. Across legal AI vendors that price this way, the usual variables are seat count or case volume, contract length, which modules are included, whether human review tiers are bundled or added, and any minimum commitment. Supio's risk-free announcement points to flexibility on adoption terms specifically, which suggests trial structure and contract length are negotiable even where rates are not public.
Come to the call with your annual case volume, the number of people who would use the platform daily rather than occasionally, and a competing quote. Those three do more to shape a first offer than anything else.
The two are not priced against each other on the same work. Supio operates downstream of retrieval, on records a firm already has. Codes Health describes its pricing as a flat fee covering retrieval, AI analysis, chronologies, and completeness verification, with no per-page charges. Its public materials do not display a numerical fee schedule either, so firms still contact the company for current terms. The difference is structural rather than informational: a flat fee per case gives firms a predictable unit cost once quoted, which is easier to model than variable per-page billing.
Evaluating Total Cost of Ownership
Most published outcome figures in this category come from vendor materials rather than independent verification, which is worth remembering when ROI claims enter a sales conversation. The comparison that holds up is total cost of ownership: per-user pricing creates fixed monthly costs regardless of utilization, so if a subscription covers 15 seats but 8 people actually use it, the effective cost per active user climbs. Models that charge for services delivered keep cost tied to work performed.
Making an Informed Choice
A few questions tend to settle this faster than a spreadsheet.
Where does retrieval currently happen in your firm? Downstream analysis and drafting tools work from records you already hold, so whoever obtains those records, internal staff or a retrieval provider, represents a separate line item that belongs in any total cost comparison.
What billing unit fits your caseload? Firms with uneven case volume usually do better with per-case costs than fixed seat licenses. Firms with steady volume and heavy daily platform use may find the opposite.
How complete do your record sets need to be? If damages and causation turn on catching every provider and date range, a systematic completeness process matters more than the fastest first delivery.
What runs your case files? For Filevine users, the Codes Health embedded workflow keeps retrieval in the case file. For high-volume firms on other platforms, custom integrations are available.
What are you actually being quoted on? Ask every vendor whether the number covers retrieval only, or also analysis, chronology generation, and completeness verification. Those are frequently priced separately.
Innovation Among Legal Software Companies
The legal AI market has drawn heavy investment, with funding around $2 billion in 2025, but investment alone does not guarantee product-market fit. Gartner predicts more than 40% of agentic AI projects will be canceled by the end of 2027 because of escalating costs, unclear business value, or inadequate risk controls, which is a reasonable argument for choosing partners with sustainable models and documented customer outcomes.
Codes Health shows several markers of durable growth. The Filevine partnership provides distribution through an established case management ecosystem, institutional backing comes from Y Combinator, General Catalyst, Haystack, Night Capital, and Pathlight Ventures, and the platform serves hundreds of firms across personal injury, mass tort, and medical malpractice.
Founded in 2024, Codes Health operates as a HIPAA-compliant platform handling protected health information across retrieval, processing, analysis, and storage. Its MIT-educated engineering team continuously builds out additional workflows and products, so the platform keeps evolving and becoming more comprehensive as the demands of modern legal practices change.
The Bottom Line
If you came here looking for a Supio price, the answer is that it is not public, and no honest article can hand you one. What is documented is the shape of the offering: $91 million raised, a September 2025 risk-free pricing announcement framed around avoiding long-term contracts, and a website that routes pricing questions to a demo booking. Any dollar figure you find in a third-party comparison is an estimate of the broader market, not a Supio rate card. What you can do is walk into the quote conversation knowing your case volume, your real daily user count, and a competing offer, which is worth more than any number you could have read here.
Codes Health does not publish a numerical schedule either, but the structure it does publish is worth understanding: a flat fee per case with no per-page charges, covering retrieval, AI analysis, chronologies, human verification, and Missing Record Review before a file closes. Paired with complete records in a couple of weeks and an embedded Filevine workflow, that gives firms a cost they can model per matter rather than a variable they discover at invoice time.
Want the number for your caseload? Explore Codes Health and get current terms for your volume and practice mix.
Frequently Asked Questions
How does Supio's pricing approach compare to industry norms for legal AI software?
Unpublished pricing is common across legal AI vendors serving personal injury firms. EvenUp moved to an all-in-one per-case pricing model in May 2025 without publishing specific rates, and many established platforms do not advertise AI-specific pricing either. What differs is usually the structure rather than the disclosure. Codes Health publishes a flat fee model, so firms know the billing unit before the conversation starts even though the amount comes from a quote.
What should firms consider when evaluating legal AI pricing beyond the monthly cost?
Total cost of ownership goes past the subscription line. Weigh implementation complexity, integration requirements, staff training time, and ongoing support. Per-user pricing creates fixed costs regardless of utilization, while per-case or flat fee models tie cost to actual work. Overage fees and minimum commitments can move the total significantly, so request complete pricing documentation before committing.
Can firms negotiate Supio pricing, and what leverage points exist?
Because Supio routes pricing through sales conversations, negotiation is part of the process. Common leverage points include case volume commitments, contract length, and competitive quotes from alternative vendors. The risk-free pricing announcement suggests flexibility on adoption terms, though specifics are not public. Get quotes from several vendors first so you have a benchmark.
How is medical record retrieval typically priced across the legal industry?
Retrieval is priced separately from downstream analysis and drafting platforms, and the models differ. Retrieval services use per-request fees, per-page charges, subscription packages, and flat fee structures. Per-page pricing gets unpredictable when record volumes run past estimates, and subscription models sometimes carry usage limits with overage charges. Flat fee models like the one Codes Health uses keep the cost steady regardless of record volume. Clarify whether a quoted price covers retrieval only or also analysis, chronology generation, and completeness verification.
What implementation timeline should firms expect when adopting new legal AI software?
Timelines depend on integration complexity, training needs, and data migration. Platforms with native integrations into existing case management systems deploy faster than standalone tools, and the Codes Health integration with Filevine lets firms submit requests from within existing case files once activated. Standalone analysis platforms may need weeks of configuration and training first, so ask vendors for timelines and success metrics before you buy.
