LlamaLab Reviews
For plaintiff law firms evaluating AI-powered medical record retrieval platforms, LlamaLab has emerged as a speed-focused option in a crowded market. But speed alone doesn't build trial-ready case files. This review examines LlamaLab's features, the pending litigation currently affecting the platform, and why many firms are turning to complete medical record retrieval solutions that prioritize accuracy and human-verified analysis over raw turnaround time.
Key Takeaways
LlamaLab emphasizes same-day retrieval speed, but the platform's own materials raise open questions about how it handles providers outside its direct digital connections.
A lawsuit filed January 13, 2026, by Epic Systems and other healthcare organizations alleges that LlamaLab and several other companies participated in improper access to approximately 300,000 patient records in the aggregate. LlamaLab denies the allegations and is contesting the case.
Vendors offering same-day retrieval typically pull only what's available through direct digital connections, and gaps in that coverage often require added client involvement, a pattern that can contribute to churn over time.
Plaintiff firms handling personal injury, mass tort, and medical malpractice cases need more than fast records: they need breach-of-care identification, future expense documentation, and human-verified accuracy.
Codes Health offers a completeness-first alternative with AI analysis verified by human experts, retrieving records in a couple of weeks on average rather than promising the fastest possible first delivery.
LlamaLab's current pricing includes separate per-facility charges for medical and billing records, plus a case setup fee, a more layered structure than a single flat rate.
What Is LlamaLab? Platform Overview
LlamaLab is an AI-native medical record retrieval service founded in 2023 and headquartered in New York City. The platform markets itself to personal injury, mass tort, and medical malpractice firms with an emphasis on retrieval speed. LlamaLab reports that 60% of its record requests are sent and returned the same day without human intervention, a company-reported metric that has not been independently verified.
Core Features LlamaLab Advertises
LlamaLab's marketing highlights several capabilities:
Same-day to 48-hour retrieval for electronically connected providers
A large national facility network, though LlamaLab's own materials give inconsistent figures for how many more providers it finds than traditional methods, so firms should confirm the specifics directly with the company
AI-powered authorization validation with a self-reported rejection rate below 2%
A Basic plan listing $50 per facility for medical records and $50 per facility for billing records, plus a $150 case setup fee and document upload charges; its Core Unlimited plan offers unlimited requests at quote-based pricing
Automated tracking and delivery confirmation systems
The platform's speed claims are particularly attention-grabbing for firms managing high volumes of cases. However, retrieval speed represents only one dimension of the medical record challenge facing litigation teams.
The Epic Systems Lawsuit: Critical Risk Factor
The most significant consideration for any law firm evaluating LlamaLab is the litigation filed against it and several other companies in January 2026.
Allegations Against LlamaLab
Epic Systems, the dominant electronic health record vendor serving major health systems, and several other healthcare organizations filed suit on January 13, 2026, alleging that Health Gorilla allowed several client companies, including LlamaLab, RavillaMed, and MammothRx, to improperly retrieve nearly 300,000 patient records in the aggregate through Carequality and TEFCA network access.
The complaint alleges:
Records were accessed under false "treatment" pretenses, then sold to mass tort firms
RavillaMed obtained records through health information networks and allegedly provided records to LlamaLab, though the operational relationship between the companies is disputed
Some records exchanged by RavillaMed allegedly lacked evidence of clinical treatment and instead contained diagnoses commonly associated with litigation
These remain unproven allegations, and LlamaLab and RavillaMed maintain that they operate independently and deny improper conduct.
LlamaLab's Response
LlamaLab has categorically denied all allegations. In a February 2026 company statement, CEO Shere Saidon said the company had never "sold, stolen, or misused patient data." The company claims it is not a member of Carequality or TEFCA networks and has no involvement with Epic's networks.
LlamaLab and associated defendants filed motions to dismiss and sever on February 25, 2026, arguing that Epic bypassed contractual obligations and wrongly grouped LlamaLab with unrelated defendants. Those motions were placed under submission in April 2026, and no ruling had been issued as of the most recently reviewed docket entry.
What This Means for Law Firms
The case remained active as of July 2026, with a jury trial currently scheduled for January 2028. All allegations remain unproven. Plaintiff firms should weigh several factors while the case proceeds:
Regulatory compliance risk: If allegations are substantiated, partner law firms could face scrutiny over their record-retrieval methods
Data provenance questions: Firms should confirm how any vendor obtains records and document that process for their own files, particularly while a vendor's network access is being litigated
Reputational exposure: Association with alleged improper data access may concern clients and courts
Service continuity risk: The outcome of the case could potentially affect network access or trigger regulatory action
Law firms should conduct independent due diligence before engaging any retrieval vendor currently facing data-access allegations.
Speed vs. Completeness: The Core Trade-Off
LlamaLab's marketing centers on retrieval speed. But for plaintiff attorneys building cases that may proceed to trial, the question is not merely how fast records arrive but whether those records are complete.
The Completeness Question
Vendors offering same-day retrieval typically pull records through direct digital connections first. Because LlamaLab emphasizes rapid, digitally connected retrieval, firms should ask how it handles non-connected providers, certified records, imaging, billing records, and gaps discovered after the initial delivery. Providers outside a vendor's direct-connection network often still require phone calls, faxes, patient portal follow-up, or added client involvement to complete a file, and that extra burden is a pattern worth asking about when comparing retrieval vendors, since it can contribute to client churn over time. Codes Health's multi-channel approach is built to return complete records within a couple of weeks rather than a partial file on day one.
What Incomplete Records Can Cost Law Firms
Missing records can create problems throughout the litigation lifecycle:
Weakened damage calculations: Future medical expense projections rely on complete treatment histories
Missed liability evidence: Breach-of-care indicators may exist in records that were never retrieved
Discovery vulnerabilities: Gaps identified during discovery can become a point of focus for opposing counsel
Last-minute scrambles: Trial preparation can suffer when critical records arrive late or not at all
Settlement leverage: Incomplete documentation can weaken a firm's position during settlement negotiations
These are general risks associated with incomplete medical records rather than claims specific to any one vendor. Firms should test completeness through pilot matters and establish their own procedures for identifying and retrieving missing records.
User Reviews and Market Feedback on LlamaLab
As of July 2026, this review did not identify a substantial body of verified LlamaLab customer reviews on G2, Capterra, or Trustpilot. Public, independently verifiable feedback on the platform remains limited.
Without substantial independent review data, firms evaluating LlamaLab must rely heavily on demos, pilot programs, and direct reference conversations with current users, alongside their own due diligence on the pending litigation described above.
Codes Health: A Completeness-First Alternative
For firms that want comprehensive medical record files backed by documented compliance practices, Codes Health offers a different approach.
How Codes Health Differs from LlamaLab
Rather than optimizing solely for retrieval speed, Codes Health prioritizes complete case documentation verified by human experts:
Retrieval method: Multi-channel, including claims clearinghouses, custodian integrations, proprietary provider networks, traditional fax, and patient portals
Turnaround time: A couple of weeks on average, aiming for complete records rather than the fastest possible first delivery
AI analysis: Breach-of-care identification, future expense extraction, and pre-existing condition flagging
Human verification: Codes Health states that its AI-generated case insights are verified by humans
Missing record detection: AI flags gaps before attorneys open the file
Legal status: As of July 2026, this review did not identify a comparable data-access lawsuit involving Codes Health
Pricing: Flat fee per case, rather than itemized per-facility and per-document charges
Key Differentiators for Plaintiff Firms
Codes Health's platform addresses pain points that speed-first retrieval may not resolve:
Authorization-quality review: Incomplete authorizations are a leading cause of denied medical record requests. Missing patient signatures, unclear expiration dates, or unchecked boxes for sensitive records can cause a provider to reject and resubmit a request, adding delay under HIPAA's 30-day federal production standard (state law can set different windows, for example, Louisiana's 15-day period for a valid request with proper authorization). Codes Health's AI review catches these errors before submission, automatically flagging misspellings, missing dates of service, and signature issues that would otherwise cause provider rejections.
Breach-of-care extraction: Automatically surfaces missed diagnoses, delayed treatment, and standard-of-care violations relevant to medical malpractice cases
Future expense documentation: Identifies treatment patterns that support damages calculations
Pre-existing condition identification: Flags information opposing counsel might raise, so attorneys can prepare responses
Custom integrations: For high-volume firms, Codes Health can build custom integrations with CRM platforms and other case management or medical software, connecting retrieval directly to existing workflows
General AI tools like ChatGPT are not reliable for litigation-grade medical record analysis, since they aren't built to parse dense, inconsistent clinical documentation across providers or reliably tie findings back to source records. Codes Health's platform is purpose-built for this task, pairing AI extraction with human review for higher precision.
Codes Health's MIT-educated engineering team continuously builds out additional workflows and product capabilities, helping the platform keep evolving to meet the changing demands of modern legal practices.
Codes Health is backed by Y Combinator and institutional investors, including General Catalyst, Haystack, Night Capital, and Pathlight Ventures. Y Combinator backing reflects financial support for the company, though investment on its own doesn't independently verify retrieval completeness or product performance.
What Clients Say About Codes Health
Testimonials from plaintiff attorneys highlight the practical impact:
Charles Brown, Managing Partner at Daly & Black, P.C.:
"What really struck me about the Codes Health team was how technologically forward they were: using artificial intelligence in ways that none of the other providers could match. And they truly follow through."
Kelman Harrel, Partner at Louis Law Firm:
"I've been waiting for one partner to solve this pre-litigation side of the business. Wasted so much time, money, and energy on emerging technology. Codes Health has it dialed in."
Skinner Louis, Managing Attorney at Louis Law Firm:
"On one matter, the firm needed records and bills from 9 to 10 different providers. In the old model, that would have been weeks of parallel juggling. With Codes Health, every request was tracked independently."
Decision Framework: Choosing the Right Retrieval Platform
Not every firm has identical priorities. Use this framework to evaluate whether LlamaLab or an alternative like Codes Health better fits your practice.
When Speed May Be Acceptable (With Caveats)
LlamaLab's speed-first approach may work for firms that:
Handle high-volume, low-complexity cases where some added follow-up on gaps is manageable
Have robust internal processes to identify and fill record gaps
Are you comfortable proceeding while the Epic Systems litigation remains unresolved
Have confirmed the scope of LlamaLab's clinical-review process; LlamaLab states that licensed clinical experts validate every AI output, so firms should verify what that review covers for their matter types
When Completeness Is a Priority
Codes Health may be the stronger choice for firms that:
Handle medical malpractice cases requiring breach-of-care documentation
Want organized, comprehensive records designed to support discovery, expert review, settlement preparation, and trial preparation
Prefer a vendor relationship without an open data-access lawsuit to monitor
Are interested in reported review-time reduction: Codes Health reports that its platform can reduce manual review time by up to 80% based on customer results, though results may vary
Want human expert review built into every case file
Questions to Ask Any Retrieval Vendor
Before committing to any platform, plaintiff firms should clarify:
What percentage of records come from direct digital connections versus traditional channels like fax or patient portals?
How does the platform handle providers not connected to its direct-access network?
What human oversight exists on AI-generated summaries and chronologies, and what does that review actually cover?
Are there any pending lawsuits, regulatory actions, or compliance investigations?
What happens when the initial retrieval returns incomplete records?
Can the platform identify missing records before files reach attorney review?
The Bottom Line on LlamaLab
LlamaLab has built a platform around speed, and for some use cases, rapid retrieval matters. The pending Epic Systems litigation introduces uncertainty that risk-conscious plaintiff firms should evaluate carefully and monitor as the case proceeds.
More fundamentally, speed without confirmed completeness can create downstream problems that offset time savings. Incomplete records can weaken cases, miss liability evidence, and create openings that opposing counsel may explore.
For firms handling personal injury, mass tort, medical malpractice, workers' compensation, or wrongful death cases, Codes Health offers a different approach: complete, human-verified case files with AI analysis checked by human experts, delivered by a vendor that, as of this review, was not facing a comparable data-access lawsuit.
The choice depends on what your firm values more: the fastest possible first delivery, or the most complete documentation gathered over a couple of weeks.
Frequently Asked Questions
What is LlamaLab, and what services does it provide?
LlamaLab is an AI-native medical record retrieval service founded in 2023, targeting personal injury, mass tort, and medical malpractice law firms. The platform emphasizes speed, claiming same-day to 48-hour retrieval for electronically connected providers, along with AI-powered authorization validation and automated tracking. LlamaLab's Basic plan lists $50 per facility for medical records and $50 per facility for billing records, plus a $150 case setup fee and document upload charges; its Core Unlimited plan is available at quote-based pricing.
What is the Epic Systems lawsuit against LlamaLab about?
On January 13, 2026, Epic Systems and other healthcare organizations filed a lawsuit alleging that Health Gorilla allowed several client companies, including LlamaLab, RavillaMed, and MammothRx, to improperly access nearly 300,000 patient records in the aggregate through Carequality and TEFCA network access. The complaint alleges records were accessed under false treatment pretenses and later sold to mass tort firms. LlamaLab categorically denies the allegations, states it has no involvement with Epic's networks, and filed motions to dismiss and sever on February 25, 2026. Those motions were under submission as of April 2026, and the case remained active with a trial date set for January 2028.
How does Codes Health differ from LlamaLab?
Codes Health takes a completeness-first approach rather than optimizing primarily for speed. Key differences include multi-channel retrieval (claims clearinghouses, custodian integrations, proprietary provider networks, fax, and patient portals), human-verified AI insights, automatic breach-of-care identification for medical malpractice cases, missing record detection before delivery, flat-fee pricing, and no comparable pending data-access lawsuit identified as of this review. Codes Health retrieves records in a couple of weeks on average.
Why does record completeness matter for litigation?
Incomplete records can create real problems: weakened damage calculations, missed liability evidence, discovery vulnerabilities, and last-minute trial preparation scrambles. Speed-first retrieval that relies primarily on direct digital connections may miss records from non-connected providers or return only a partial file initially. For cases proceeding to trial, especially medical malpractice, gaps in documentation can become a focus for opposing counsel and may complicate settlement negotiations.
What should law firms ask before choosing a medical record retrieval vendor?
Key questions include: What percentage of records come from direct digital connections versus traditional channels? How are providers not connected to the vendor's network handled? What human oversight exists on AI-generated outputs, and what does it actually cover? Are there any pending lawsuits or compliance investigations? What processes exist for identifying and filling record gaps? Can the platform detect missing records before files reach attorney review?
