Eve Legal Pricing
Short answer on Eve Legal pricing: there is one publicly confirmed figure, and it covers a single use case. Eve states that medical malpractice firms can replace outsourced chart reviews costing roughly $2,500 to $3,500 with Eve at approximately $350 per case. Beyond that, Eve does not publicly disclose standard platform pricing. Its Master Service Agreement sets rates in the applicable order form, and the website routes prospective customers to a sales call.
That leaves most firms doing budget math without a number. The legal AI market forecast from Grand View Research puts the category at about $1.4 billion in 2024 growing to $3.9 billion by 2030, so this is a lot of spending decided through quote conversations. For firms where the real bottleneck is medical record retrieval rather than downstream drafting, Codes Health uses a flat fee per case, which at least gives you a fixed billing unit to plan against once quoted.
Key Takeaways
Eve does not publicly disclose standard platform pricing, and rates are provided through customer-specific order forms
One publicly confirmed Eve pricing example is roughly $350 per medical malpractice case for work that replaces outsourced chart review costing $2,500 to $3,500
Eve announced a $103 million Series B at a valuation above $1 billion in September 2025 and holds a 4.9 out of 5 G2 rating
79% of legal professionals now use AI tools, according to Clio's 2025 Legal Trends Report
Pricing transparency can make it easier for firms to compare vendors and forecast technology costs, though it is one factor among several
Codes Health uses flat fee pricing covering retrieval, chronology generation, and breach-of-care flagging, and works toward complete records in a couple of weeks
Understanding Eve Legal's Value Proposition
Eve positions itself as a workflow automation platform for plaintiff firms, covering client intake through case resolution. It maintains a 4.9 out of 5 rating on G2 from verified users and announced a $103 million Series B at a valuation above $1 billion on September 30, 2025.
How Eve Approaches Legal Workflow Automation
Eve currently promotes:
24/7 AI intake that captures client information around the clock
Medical overviews and chronologies that organize case records
Demand drafting for pre-litigation documentation
Litigation drafting and discovery workflows for case preparation
Case-value auditing through its Auditor product, which identifies medical and factual value drivers, overlooked injuries, coverage information, and overall case value potential
Firm analytics for practice-level reporting
That spread covers multiple stages of the plaintiff case lifecycle, which appeals to firms that would rather run one platform than stitch together point solutions.
The Challenge of Quote-Based Pricing
Eve does not publish pricing tiers or per-user costs on its website. Firms schedule a demo before receiving cost information, which creates a few practical problems:
Budget uncertainty during evaluation
Longer sales cycles that delay adoption
Difficulty comparing costs across competing platforms
Time spent on demos that may reveal a poor cost fit
None of this is unusual in legal AI. It does mean the evaluation process takes longer than it would if firms could screen on price first.
What is Actually Known About Eve Pricing
The Confirmed Data Point
Eve's own medical malpractice materials describe firms replacing outsourced chart reviews that run $2,500 to $3,500 with Eve at roughly $350 per case. That is a real, vendor-published figure, and it is the clearest pricing signal Eve has made public.
It is worth reading it for what it is. The figure attaches to a specific workflow, chart review for medical malpractice matters, rather than to the full platform. Extrapolating it across intake, drafting, discovery, and analytics would not be sound.
What Is Not Available
For the full platform, Eve does not publish standard pricing. Its Master Service Agreement states that rates are set in the applicable order, meaning each customer's number comes from a negotiated order form. You will find per-user monthly ranges quoted on third-party comparison sites, but those figures are inconsistent with each other and are not published or confirmed by Eve. Building a budget on them is not advisable.
What Will Shape Your Quote
Since the number comes from a conversation, it helps to know what typically moves it in this pricing model: seat count, case volume, contract length, which modules are included, and any minimum commitment. Come to the call with your annual case volume, a realistic count of daily users rather than total headcount, and a competing quote.
Pricing Model Categories in Legal AI
Understanding how vendors structure pricing helps you read any quote you receive.
Subscription models charge per user per month. This gives predictable monthly costs but can mean paying for unused seats.
Per-case pricing ties cost to case volume, which aligns with contingency practice economics but produces variable monthly expenses. Eve's chart review figure follows this shape.
Quote-based pricing lets vendors tailor packages to firm size, practice area, and usage. Better fit, but no upfront comparison.
Hybrid models combine a base subscription with per-case fees for certain services. Knowing which model applies is the first step in projecting total cost of ownership.
Where the Real Bottleneck Usually Sits
Many firms assume their constraint is document analysis when the actual constraint is obtaining records at all. Traditional retrieval can stretch across months while staff chase providers by phone and fax. Case evaluation stalls, demands cannot be drafted, and negotiations wait.
This matters for a pricing decision. Analysis and drafting tools work on records you already hold. If those records take three months to arrive, a faster drafting tool does not shorten your case timeline much.
A note on the vendors that promise to fix this instantly: 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. Retrieval that produces complete records in a couple of weeks changes the case development timeline in a way partial same-day delivery does not.
Integrating Retrieval with Case Management
The Role of Case Management Integration
For firms handling medical-document-intensive cases, the connection between retrieval and case management drives day-to-day efficiency. When retrieval lives in a separate vendor portal, context switching costs time and introduces errors.
The Filevine partnership with Codes Health, announced in July 2026, addresses this directly. Filevine users can start medical record requests from the case file, track progress without leaving the platform, communicate with the retrieval team, and receive completed records back into the same project. One operational record per matter instead of information scattered across systems.
Reducing Administrative Burden
Embedded integration removes several manual steps:
Logging into separate retrieval vendor portals
Downloading records and re-uploading them to case management
Tracking request status across email threads
Reconciling billing across multiple vendor invoices
Codes Health validates authorizations before submission, manages follow-up across calls, faxes, emails, and portals, and verifies completeness before returning records, with the legal team kept informed inside their existing workspace. For high-volume customers on other platforms, Codes Health can build custom integrations with CRM platforms and other medical software.
Practice Areas and Record Requirements
Different practice areas need different things from medical records. Personal injury cases usually involve treatment records from several providers after an accident. Mass tort matters mean processing similar documentation across large plaintiff portfolios. Medical malpractice needs comprehensive histories to support expert review.
Codes Health serves seven practice areas:
Personal injury
Mass torts
Medical malpractice
Workers' compensation
Disability law
Insurance litigation
Wrongful death
For each, the platform extracts diagnoses, treatments, care gaps, missed appointments, pre-existing conditions, and documented future expenses. That context-aware analysis differs from generic summarization by focusing on what actually affects case evaluation.
Leveraging AI for Case Analysis
How AI Extracts Case-Relevant Information
AI-powered analysis turns unstructured records into usable case information, identifying:
Diagnoses and treatments across all providers
Care timelines showing treatment progression
Gaps in care that may affect case value
Pre-existing conditions relevant to damages
Future medical needs documented by treating physicians
Provider relationships showing referral patterns
This lets attorneys understand case facts without reading thousands of pages. The catch is that analysis quality depends on record completeness. Missing documentation creates blind spots no amount of AI sophistication can fill, which is the practical argument for treating retrieval and analysis as one problem rather than two purchases.
The AI and Human Hybrid Approach
General AI platforms like ChatGPT are not designed for litigation-grade medical record review. Terminology, abbreviations, and clinical context demand specialized training and validation. Codes Health's purpose-built platform analyzes medical records with high precision, and pairs that with human verification where medical, legal, and operational specialists review findings before delivery.
That verification layer is about accountability. When case strategy rests on extracted information, attorneys need confidence that a qualified reviewer signed off rather than accepting raw AI output.
Codes Health's 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.
Authorization Errors and What They Cost
Incomplete authorizations are a leading cause of denied retrieval requests. Missing signatures, unclear expiration dates, and 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. Attorney requests submitted under a signed authorization follow their own provider-specific timelines.
The Codes Health authorization review catches these before submission, automatically flagging misspellings, missing dates of service, and signature issues that would otherwise cause provider rejections.
Evaluating Legal AI Pricing Models
The True Cost Beyond Sticker Price
Base subscription cost is one line in a larger number. Total cost of ownership includes:
Implementation and training time for staff to learn the system
Integration expenses for connecting to existing case management
Per-case fees that may apply beyond a base subscription
Seat optimization losses when licenses go unused
Opportunity costs from extended evaluation cycles
Transparent pricing structures make it easier to compare vendors and forecast costs. Quote-based models can produce a better-fit package but prevent upfront comparison.
Budget Context for Plaintiff Firms
Clio's 2025 Legal Trends Report found that 79% of legal professionals use AI tools. It also reports that its cohort of growing firms doubled revenue over four years while clients and matters increased 50%, and separately that growing firms are more likely to adopt AI. Worth being precise here: the report does not attribute that revenue growth to AI adoption. The two findings sit alongside each other rather than one explaining the other.
Questions to Ask Before a Demo
For quote-based platforms, preparation makes the sales conversation more useful:
What is the minimum contract commitment period?
Are there per-case fees beyond the base subscription?
What is included versus charged as an add-on?
How does pricing scale as firm size or case volume grows?
What implementation support is included in the quoted price?
Making an Informed Choice
A few questions usually settle this faster than a comparison spreadsheet.
Which bottleneck are you actually buying against? If records arrive in weeks and drafting is slow, a drafting platform helps. If records take months, faster drafting does not shorten your timeline.
What billing unit fits your caseload? Uneven case volume generally suits per-case pricing. Steady volume with heavy daily platform use may favor seats.
How complete do your record sets need to be? If damages and causation depend on catching every provider and date range, a systematic completeness process matters more than speed of first delivery.
What is the quote actually covering? Ask every vendor whether the number includes retrieval, analysis, chronology generation, and completeness verification, or only some of those. They are frequently priced separately.
The Bottom Line
Eve Legal pricing in 2026 comes down to one published figure and a sales call. The roughly $350 per medical malpractice case for chart review replacement is real and useful, particularly against the $2,500 to $3,500 outsourcing cost it is positioned to replace. Everything beyond that workflow is set in a customer-specific order form, and the per-user ranges floating around comparison sites are not Eve's numbers.
If your firm's constraint sits upstream of drafting, the more relevant comparison may not be Eve against another drafting platform at all. Codes Health works the retrieval side: a flat fee per case, complete records in a couple of weeks, authorization validation before submission, completeness verification before a file closes, and an embedded Filevine workflow. Codes Health does not publish a dollar amount either, but a flat fee per case gives you a fixed unit to model once you have the quote.
Want the number for your caseload? Explore Codes Health to get current terms for your volume and practice mix.
Frequently Asked Questions
How long does it typically take to implement a legal AI platform?
Timelines vary based on deployment model, identity provider integration, connector complexity, and policy configuration. Managed cloud solutions generally offer the fastest time to value, while self-hosted options for regulated environments need additional setup. For medical record retrieval specifically, platforms with established provider relationships and custodian integrations can begin processing requests within days of account setup rather than requiring months of configuration.
What security certifications should law firms look for in legal AI vendors?
Look for SOC 2 Type II attestation, which provides independently audited security controls. For firms handling healthcare information, HIPAA compliance with business associate agreement availability is essential. ISO 27001 for information security management may also apply. Verify that compliance documentation covers the specific product you are evaluating rather than just the vendor's broader infrastructure.
How do per-case pricing models affect budget predictability for contingency practices?
Per-case pricing ties cost to case volume, which matches contingency economics where revenue follows resolved matters. The tradeoff is variable monthly expense rather than a fixed line. Model your expected case volume and calculate projected costs under a few scenarios before committing. Some platforms offer hybrid arrangements combining a base subscription with per-case fees for specific services.
What happens when AI analysis misses critical information in medical records?
Accuracy depends on both algorithm quality and record completeness, and missing records create gaps regardless of how good the AI is. Platforms using human verification add a review layer that catches errors before delivery. For litigation purposes, understand the verification process any vendor uses and maintain appropriate attorney oversight of AI-generated work product.
Can smaller firms afford enterprise-grade legal AI tools?
Budget is a real constraint for smaller practices, and the honest answer is that it depends on which problem you are solving. Matching tool selection to your actual workflow bottleneck matters more than platform breadth. A specialized retrieval service with flat fee pricing may deliver better return than a comprehensive platform carrying features the firm will not use, particularly if records are what is holding up your cases.
