LlamaLab vs EvenUp
EvenUp is the superior choice for AI demand package generation and settlement analytics, built on a dataset of 250,000+ verdicts and settlements. LlamaLab excels as the medical evidence platform best suited for plaintiff firms that need complete records before the demand, particularly retrieval in 4 days on average (EvenUp works from records you supply), reverse provider discovery that finds providers clients never listed and a licensed clinician's proof-of-injury decision.
Complete records first, then the demand
EvenUp is a personal injury AI company known for demand package generation, MedChrons medical chronologies, and settlement analytics built on 250,000+ verdicts and settlements.
| Capability | LlamaLab | EvenUp |
|---|---|---|
| Category focus | AI-native medical evidence for plaintiff firms | AI demand packages + claims intelligence for PI |
| Track record | Trusted by 250+ law firms; AI-native since 2024 | Founded 2019; 2,000+ firms (per EvenUp) |
| Retrieval turnaround | 4 days on average; 30 to 40% of records back same day | Does not retrieve records; you upload or sync records to the platform |
| Facility relationships | Healthcare-to-healthcare entity; direct facility partnerships move requests past standard vendor queues | Not applicable; works from records you upload or sync |
| Provider discovery | Reverse search runs insurance claims data to find providers clients never listed; 4M+ facility network | Not offered; flags missing documents within files you supply |
| Case qualification | Licensed clinical team qualifies proof of injury in under 7 days | MedChrons chronologies and demand-ready summaries |
| Portfolio / AI queries | Plain-English queries for complex medical records across the entire portfolio | Settlement Repository analytics (250,000+ verdicts and settlements) |
| Pricing & recoverability | Public pricing: $50 per facility request, retrieval-only billing, fully recoverable, optional pay-only-for-qualified-cases model | Not published; quote-based |
| Primary audience | Personal injury & mass tort plaintiff firms wanting speed, scale, and medical-grade technology | Personal injury plaintiff firms |
| HIPAA / security | HIPAA-compliant under BAA, SOC 2 Type 2, bank-level encryption | SOC 2 Type 2, HIPAA attestation (per its trust center) |
Competitor details come from public company materials (see sources). Figures a vendor does not publish are marked "not publicly disclosed."
Where EvenUp stands out
Category-defining demand packages
EvenUp's Demands product set the standard for AI demand generation in personal injury, and its site reports 2,000+ firms.
Settlement intelligence at scale
Its Settlement Repository and valuation tools draw on a dataset of 250,000+ verdicts and settlements to benchmark offers.
MedChrons and medical management
Chronologies plus a treatment-phase command center that flags missing bills, records, and treatment gaps within the files you supply.
Enterprise trust posture
SOC 2 Type 2 examination and HIPAA attestation, documented through a public trust center, plus CMS integrations like Litify, SmartAdvocate, and CASEpeer.
Firms evaluating EvenUp often find demand packages still waiting on complete records, with pricing that stays quote-only until a sales cycle.
Where LlamaLab stands out
4-day average retrieval
Records come back in 4 days on average, and 30 to 40% arrive the same day. On Camp Lejeune, the same system cut VA record retrieval from 90 days to 4.
Direct facility relationships
LlamaLab submits requests as a healthcare organization, and direct hospital and facility partnerships move those requests past standard vendor queues. That access is why records can come back the same day.
Reverse provider discovery
Reverse search runs insurance claims data against a proprietary network of 4M+ facilities and finds the specialists, urgent-care visits, and prior treatment clients forget, so requests stop depending on client memory alone.
Clinical case qualification
A licensed clinical team confirms proof of injury, not just page counts, backed by clinical AI that scored 98% on physician board exams. On a PFAS portfolio, LlamaLab qualified 10,000 cases in three weeks at an 84% qualification rate.
Mass tort portfolio intelligence
Query thousands of cases in plain English to qualify and re-qualify claimants. On the last large engagement, docket queries surfaced 5 to 10 percent more clients eligible for other litigations.
Recoverable, retrieval-only pricing
Pricing is public: $50 per facility request, with no platform, license, or technology fees, so every dollar stays a recoverable case expense instead of firm overhead. Optional models let firms pay only for the cases that qualify.
Case management integrations
LlamaLab integrates with Litify, SmartAdvocate, Needles, and Clio, and any other case management system can connect through the public Integration Guide at docs.llamalab.ai, so retrieval starts from the matter.
Feature by feature
A demand is only as good as the records behind it
EvenUp's own products acknowledge the problem: its Medical Management tool flags missing bills and records inside the files you upload. Flagging a gap isn't filling it. Someone still has to find the provider and retrieve the chart. LlamaLab does that part: retrieval in 4 days on average, with 30 to 40% back the same day, from a 4M+ facility network.
Where each product starts
EvenUp starts when you upload or sync records through the portal or a CMS integration like Litify or SmartAdvocate. LlamaLab starts at intake: reverse search runs the client's insurance claims data to find every provider, including the ones nobody listed, then retrieves the records directly.
Chronologies vs clinical qualification
MedChrons organize treatment history into demand-ready chronologies. LlamaLab's licensed clinical team adds the decision: proof of injury confirmed or declined, in under 7 days. Organization tells you what's in the records; qualification tells you whether the case moves.
Using EvenUp with LlamaLab
The two fit in sequence. LlamaLab delivers complete, clinically qualified records; EvenUp turns them into demand packages benchmarked against its settlement dataset. Firms that pair a records layer with a demand layer stop feeding half-complete files into their demand tool.
Pricing comparison
EvenUp doesn't publish pricing; packages are quoted. LlamaLab publishes retrieval pricing at $50 per facility request, billed as a recoverable case expense. If you use both, LlamaLab's fee covers getting complete records and EvenUp's covers the demand built on them.
LlamaLab
- $50 per facility request for medical and billing records, published publicly
- Case setup fee of $150 on Basic, waived on Unlimited
- Retrieval-only billing stays a recoverable case expense, not firm overhead
- Optional models let firms pay only for cases that qualify
EvenUp
Not published; quote-based
Per public materials at the time of writing (see sources).
Which one fits your firm?
When to choose EvenUp
- Demand packages are your bottleneck and you want the category leader.
- Settlement benchmarking against 250,000+ verdicts and settlements matters to your negotiations.
- Your firm already has a reliable way to get complete records.
When to choose LlamaLab
- Your demands wait on records, so retrieval speed is the constraint.
- Clients forget providers and you need discovery from insurance data before drafting.
- You want a licensed clinician's proof-of-injury decision before the demand goes out.
- You want published retrieval rates you can recover from settlement.
- Some files can't move at all: closed facilities, providers the client can't name.
Real impact across major mass torts
How firms use LlamaLab to process thousands of cases faster.
- VA records delivered in 4 days on average vs. 90+ day industry standard
- Cut one firm's budgeted processing time from 2 years to 6 months
- Processed 10,000 cases from no records to evidence packages in 3 weeks with an 84% qualification rate
- Discovered exposure records linking clients to contaminated water sources
- Raised proof-of-injury rate 20% by correcting teams' misinterpretation of records
- Retrieved medical records going back 25+ years
LlamaLab vs EvenUp, answered
They solve different problems. EvenUp is the category leader for AI demand packages and settlement analytics. LlamaLab delivers the complete records those demands depend on: 4-day average retrieval, reverse provider discovery, and clinical qualification. If your demands wait on records, fix that first.
EvenUp generates demand packages and chronologies from records your firm uploads or syncs; it does not retrieve records. LlamaLab retrieves records in 4 days on average, finds providers clients never listed via insurance data, and has a licensed clinician confirm proof of injury.
EvenUp doesn't publish pricing, so there's no public comparison. LlamaLab publishes rates: $50 per facility request, retrieval-only billing, recoverable from settlement. They also charge for different work, so many firms budget for both.
No. LlamaLab doesn't generate demand packages, and EvenUp doesn't retrieve records. They sit at different points in the same pipeline: LlamaLab delivers qualified evidence, EvenUp drafts the demand from it. Firms with both bottlenecks use both.
PI firms whose records process already works and whose bottleneck is demand output: drafting speed, consistency across high volume, and settlement benchmarking against EvenUp's 250,000+ verdict and settlement dataset.
No. EvenUp's workflow starts when you upload records through its portal or sync them from a CMS like Litify or SmartAdvocate. Its tools flag missing bills and records within what you supply, but retrieving them is your firm's job, which is where LlamaLab fits.
Yes, in sequence. LlamaLab retrieves complete records in 4 days on average and qualifies proof of injury; EvenUp then turns those records into demand packages benchmarked against its settlement dataset. Complete inputs make the demand stronger.
See the difference on your own cases
Submit your first case free and compare LlamaLab's speed, provider discovery, and clinical qualification against what you use today.