LlamaLab vs EvenUp vs Codes Health
Personal injury law firms evaluating AI-powered medical record solutions face a critical choice: prioritize speed, downstream automation, or complete, verified documentation. This comparison breaks down how LlamaLab, EvenUp, and Codes Health serve different stages of case development and why choosing the right tool for your workflow prevents expensive bottlenecks. Understanding these distinctions helps firms build a medical records strategy that supports faster settlements and stronger case outcomes.
Key Takeaways
LlamaLab focuses on rapid retrieval, same-day to 48 hours for electronically connected providers, and is named as one of several defendants in a pending 2026 lawsuit involving alleged improper record access across a health information exchange network
EvenUp is not a medical record retrieval service. It generates demand letters and case analysis but requires firms to already have complete records. EvenUp reports serving over 2,000 firms, including 20% of the Top 100 US PI firms
Codes Health delivers complete records in a couple of weeks, not months, with human-verified AI analysis and flat-fee pricing, aiming to avoid the incomplete-record follow-up cycles that can contribute to client churn with faster services
Codes Health integrates directly with Filevine, allowing users to submit requests, track status, and receive completed records without leaving the case file
General AI platforms like ChatGPT are not designed for litigation-grade medical record review, while Codes Health's purpose-built AI is designed specifically for legal-grade analysis
For most PI firms, an effective workflow uses Codes Health for retrieval alongside downstream tools for demand generation, since incomplete records limit the value of even the best AI-generated demands
Understanding the Core Offerings: What Each Platform Actually Does
Before comparing features, firms must understand a fundamental distinction: these three platforms solve different problems at different stages of case development.
LlamaLab: Speed-Focused Record Retrieval
LlamaLab positions itself as an AI-native retrieval platform emphasizing same-day to 48-hour turnaround for electronically connected providers. The platform states it serves several hundred law firms and offers:
Provider discovery that LlamaLab states finds roughly 3x more treatment locations than client memory alone
Authorization validation with a self-reported rejection rate under 2%
Per-provider pricing, with plans stated to start around $50 per provider depending on volume commitment, or a quote-based unlimited option
A clinical team for case qualification
Pending litigation: LlamaLab is named as one of several defendants in a lawsuit that Epic Systems and a group of health systems filed in January 2026, alleging that Health Gorilla and its clients, including LlamaLab, improperly accessed patient records through health information exchange networks for non-treatment purposes. The complaint references roughly 300,000 patient records across the named defendants. LlamaLab has publicly denied the allegations and stated it intends to contest them. The case remains in early stages, with motions to dismiss and sever still pending, so firms evaluating LlamaLab may want to track the litigation as part of standard vendor due diligence.
EvenUp: Downstream Demand Automation
EvenUp operates in a completely different category. The platform does not retrieve medical records. It assumes you already have complete documentation and focuses on:
AI demand letter generation through its AI Drafts Suite
MedChrons automated medical chronologies
Settlement Repository with verdict and settlement data
Case management integrations with Litify, SmartAdvocate, and CASEpeer
EvenUp reports serving over 2,000 firms, including 20% of the Top 100 US PI firms, and reached a valuation above $2 billion following an October 2025 funding round. In December 2024, Business Insider reported that former employees described the platform relying more heavily on manual human review than its marketing suggested; EvenUp has said it uses a combination of AI and human review to maintain accuracy, and that its AI capabilities continue to improve.
Codes Health: Complete Records with Verified Analysis
Codes Health combines retrieval and analysis in a single platform, delivering complete medical records in a couple of weeks rather than the months typical of traditional processes. The platform differentiates through:
Multi-channel retrieval using claims clearinghouses, custodian integrations, proprietary provider networks, fax, and other traditional methods
Human-verified AI insights combining automation speed with expert validation
Completeness verification checking delivered records against original requests before delivery
Flat-fee pricing with no per-page or per-provider charges
Strategic Filevine integration embedding retrieval into case management workflows
Codes Health is trusted by hundreds of personal injury, mass tort, and medical malpractice firms and is backed by Y Combinator, Amplify Partners, and Haystack.
Speed vs. Completeness: The Critical Trade-Off
The fundamental tension between LlamaLab and Codes Health reflects a strategic choice every PI firm must make.
LlamaLab's Speed-First Approach
LlamaLab states that a majority of requests from electronically connected providers are completed same-day to within 48 hours, compared to the 30 to 60 days it cites for manual or portal-based retrieval.
Codes Health notes that same-day retrieval services can sometimes deliver incomplete records that require client involvement for follow-ups, which may lead to case delays and contribute to client churn. Fast partial records may extend total case timelines when multiple follow-up requests become necessary to obtain complete documentation.
Codes Health's Completeness-First Approach
Codes Health prioritizes delivering complete record sets in a couple of weeks, using multiple retrieval channels to ensure nothing is missed:
Clearinghouse connections for billing and claims data
Custodian and proprietary provider network integrations for clinical records
Traditional methods (fax, phone, portals) for providers without electronic access
Missing record detection identifying gaps before attorney review
Why completeness matters for litigation:
Incomplete records weaken settlement demands
Missing documentation creates trial surprises
Follow-up requests restart provider response timelines
Gaps give defense counsel ammunition for alternative causation theories
The Authorization Quality Advantage
Incomplete authorizations are a leading cause of denied medical record requests. Missing patient signatures, unclear expiration dates, or unchecked boxes for sensitive records can restart the request clock, which follows the 30-day federal HIPAA standard, though state authorization rules can vary. Codes Health's AI review catches these errors before submission. The system automatically flags misspellings, missing dates of service, and signature issues that would otherwise cause provider rejections, supporting first-time acceptance and faster total turnaround.
AI-Powered Analysis: What Each Platform Delivers
Codes Health's Legal-Grade AI
General AI platforms like ChatGPT are not designed for litigation-grade medical record review. Codes Health's AI platform is specifically built for personal injury, mass tort, and medical malpractice cases with high precision. Key capabilities include:
Breach-of-care identification flagging potential standard-of-care violations
Future medical expenses extracted from treatment recommendations
Diagnoses extraction surfacing buried findings across all providers
Pre-existing condition identification for causation analysis
Human verification of all AI-generated insights
The platform automatically creates chronological timelines, provider summaries, and treatment category organization, reducing hours of manual sorting.
Continuous Platform Evolution
Codes Health's MIT-educated engineering team actively develops additional workflows and products, ensuring the platform continuously evolves and becomes more comprehensive to meet the changing demands of modern legal practices.
EvenUp's Demand-Focused AI
EvenUp's AI focuses on downstream case work:
Medical chronology generation from provided records
Demand letter drafting with settlement intelligence
Treatment gap identification through its Medical Management tool
Settlement valuation using verdict and settlement databases
Limitation: EvenUp requires complete records as input. If a firm's retrieval process delivers incomplete documentation, EvenUp's analysis will reflect those gaps.
LlamaLab's Analysis Capabilities
LlamaLab offers searchable, OCR'd records and provider discovery algorithms, along with an AI analysis layer the company states scored well on physician board exam benchmarks. The platform's medical record analysis capabilities are less publicly documented than its retrieval speed claims. Firms considering LlamaLab may want to weigh the pending litigation noted above as part of standard vendor due diligence.
Pricing and Cost Transparency
LlamaLab Pricing Structure
LlamaLab offers two pricing models, according to its published pricing page:
Per-provider package starting around $50 per provider, with pricing tied to volume commitment
An unlimited, quote-based flat-fee option for higher volumes
Actual per-case costs will vary with the number of providers involved and a firm's volume commitment; firms should confirm current figures directly with LlamaLab.
EvenUp Pricing
EvenUp introduced an all-in-one, per-case pricing model in May 2025 alongside new drafting and workflow products. Published pricing is not available; firms need to contact EvenUp directly for a quote.
Codes Health Pricing
Codes Health uses a flat-fee structure per case with no per-page or per-provider charges. This includes:
Unlimited providers per case
Re-requests at no additional cost
Complete records with verification
AI-powered analysis and organization
Contact Codes Health directly for specific pricing based on case volume.
Case Management Integration: The Filevine Advantage
For firms using Filevine, Codes Health offers a strategic partnership that embeds medical record retrieval directly into the case management environment.
What the Filevine Integration Delivers
According to Filevine's announcement, the integration allows users to:
Submit record requests from the relevant Filevine case file
Track status in real time without leaving the platform
Communicate with Codes Health directly within the case workflow
Receive completed records and billing inside the Filevine project
Validate authorizations with AI checking date ranges and provider requirements before submission
This reduces context switching between case management, retrieval vendor portals, email, and file storage, helping maintain a single operational record for each matter.
Custom Integration Capabilities
For high-volume customers, Codes Health can build custom integrations with CRM platforms and other medical software systems, helping fit the workflow into a firm's existing technology stack.
Why Embedded Workflow Matters
Filevine CEO Ryan Anderson described medical record retrieval as a long-standing customer pain point that firms had asked Filevine to solve for years. The Codes Health partnership addresses this by:
Reducing administrative overhead from managing separate vendor relationships
Maintaining complete audit trails within the case file
Automating status visibility without manual check-ins
Delivering organized records ready for case development
For high-volume practices, this integration can turn medical records from an administrative burden into a streamlined workflow component.
Legal and Compliance Considerations
LlamaLab's Pending Litigation
The lawsuit filed in January 2026 alleges that LlamaLab and several co-defendants improperly accessed patient records through health information exchange networks. The complaint references roughly 300,000 patient records across all named defendants. LlamaLab denies the allegations and is contesting the case, which remains in early procedural stages.
Firms evaluating LlamaLab may want to consider:
Monitoring how the litigation develops before making long-term commitments
Asking vendors directly about their data access practices and compliance posture
Understanding that allegations in a complaint are unproven claims, not findings of fact
Codes Health's Compliance Position
Codes Health operates as a HIPAA-compliant platform with:
No known litigation or regulatory actions
Authorization workflows with AI validation
Multi-channel retrieval through established provider relationships
Human verification of completeness before delivery
Use Case Recommendations
Best for Medical Malpractice Cases
Codes Health stands out for malpractice work due to:
Purpose-built breach-of-care identification
Complete records helping ensure no missing documentation
Human-verified analysis for expert review
No pending compliance litigation affecting case credibility
Best for High-Volume PI Practices
Codes Health provides an efficient workflow for high-volume practices:
Use Codes Health for complete, verified record retrieval
Feed complete records into downstream tools for demand automation
Leverage settlement intelligence for valuation
This approach helps ensure any downstream AI has complete data to work with, supporting output quality.
When Speed Creates Timeline Risk
Services emphasizing same-day retrieval may work for firms willing to accept:
Potential incomplete records requiring follow-up
Pending litigation involving some vendors in this category
Records that may need additional verification before trial use
The total timeline may extend if multiple retrieval attempts are needed, and incomplete records can lead to added client involvement.
The Bottom Line: Choosing the Right Tool for Your Practice
The comparison between LlamaLab, EvenUp, and Codes Health ultimately depends on where your practice needs support:
Choose Codes Health when you need:
Complete, verified medical records delivered in weeks, not months
Human-verified AI analysis for litigation-grade accuracy
Breach-of-care identification for medical malpractice cases
Flat-fee pricing without hidden per-page or per-provider charges
No pending litigation or compliance risk tied to the vendor itself
Seamless Filevine integration for embedded workflow
Purpose-built AI designed for medical record analysis, unlike general platforms like ChatGPT
Custom integration capabilities for high-volume operations
Consider LlamaLab when:
Speed is a top priority and you have processes to handle potential follow-up requests
Your firm has evaluated and is comfortable with the pending litigation involving the company
Add EvenUp when:
You already have complete records and need demand automation
Settlement intelligence and valuation data would strengthen negotiations
Your case management system integrates with EvenUp's platform
For most personal injury practices, Codes Health solves the upstream problem that makes every downstream tool more effective. Complete, verified medical records form the foundation for expert review, settlement demands, and trial preparation. Starting with incomplete documentation can undermine every subsequent step.
Frequently Asked Questions
What's the main difference between LlamaLab, EvenUp, and Codes Health?
LlamaLab focuses on fast medical record retrieval, same-day for electronic providers. EvenUp generates demand letters and case analysis but does not retrieve records. Codes Health combines retrieval and analysis, delivering complete records in a couple of weeks with human-verified AI insights and flat-fee pricing.
What should firms know about the lawsuit involving LlamaLab?
LlamaLab was named in a lawsuit that Epic Systems and several health systems filed in January 2026, alleging improper access to patient records through a health information exchange network. LlamaLab denies the allegations, and the case remains in early stages with motions still pending. Firms should treat the allegations as unproven and factor the litigation's status into their own due diligence. Codes Health has no known pending litigation or compliance actions.
Can EvenUp retrieve my medical records?
No. EvenUp is not a retrieval service. It assumes you already have complete medical records and focuses on demand letter generation, medical chronologies, and settlement intelligence. For retrieval, firms need a separate solution like Codes Health.
How does the Codes Health and Filevine integration work?
Through their strategic partnership, Filevine users can submit record requests, track status, communicate with Codes Health, and receive completed records and billing directly within the Filevine case file, without needing a separate vendor portal.
Which solution is best for medical malpractice cases?
Codes Health is purpose-built for medical malpractice with breach-of-care identification, completeness verification, and human-verified AI analysis. These capabilities support the expert review and standard-of-care analysis that malpractice cases require.
