LlamaLab vs Eve Legal
Eve is the superior choice for automating litigation work once records exist, from 24/7 AI voice intake through chronologies, demands, discovery and legal research. LlamaLab excels as the medical evidence platform best suited for plaintiff firms that still need the records themselves, particularly retrieval in 4 days on average (Eve does not operate a retrieval service), reverse provider discovery that finds providers clients never listed and clinical proof-of-injury qualification before the drafting starts.
The records layer vs the workflow layer
Eve is a legal AI platform (EveOS) for plaintiff firms: 24/7 AI intake, medical chronologies, demand letters, discovery, and legal research. It does not operate a record retrieval service.
| Capability | LlamaLab | Eve Legal |
|---|---|---|
| Category focus | AI-native medical evidence for plaintiff firms | AI operating system for plaintiff firm workflow (EveOS) |
| Track record | Trusted by 250+ law firms; AI-native since 2024 | Founded 2023; 1,200+ firms (per Eve) |
| Retrieval turnaround | 4 days on average; 30 to 40% of records back same day | No retrieval service; agents assist with record chasing (per Eve) |
| Facility relationships | Healthcare-to-healthcare entity; direct facility partnerships move requests past standard vendor queues | Not applicable; does not operate retrieval |
| Provider discovery | Reverse search runs insurance claims data to find providers clients never listed; 4M+ facility network | Not offered; works from records your firm supplies |
| Case qualification | Licensed clinical team qualifies proof of injury in under 7 days | Chronologies and case scoring in minutes once records are uploaded |
| Portfolio / AI queries | Plain-English queries for complex medical records across the entire portfolio | Nightly AI Auditor reviews active matters; firm-wide analytics |
| Pricing & recoverability | Public pricing: $50 per facility request, retrieval-only billing, fully recoverable, optional pay-only-for-qualified-cases model | Quote-based; roughly $350 per case disclosed for med-mal chronologies |
| Primary audience | Personal injury & mass tort plaintiff firms wanting speed, scale, and medical-grade technology | Plaintiff firms: PI, employment, med-mal, workers' comp, SSDI |
| HIPAA / security | HIPAA-compliant under BAA, SOC 2 Type 2, bank-level encryption | SOC 2 Type II, HIPAA |
Competitor details come from public company materials (see sources). Figures a vendor does not publish are marked "not publicly disclosed."
Where Eve Legal stands out
Full-lifecycle workflow automation
EveOS spans intake, chronologies, demand letters, discovery responses, and built-in legal research, one platform for the casework itself.
24/7 AI voice intake
AI agents answer calls and emails around the clock in 28 languages, score leads, and can sign qualified clients live on the call (per Eve).
Fast chronologies once records exist
Eve's med-mal page cites source-linked chronologies in about 30 minutes on files up to 40,000 pages, at roughly $350 per case.
Scale and third-party validation
A $103M Series B at a $1B+ valuation (Sept 2025), 1,200+ firms per its site, 200,000+ cases processed annually, and a 4.9/5 rating on G2.
Firms evaluating Eve often hit the records gap first: drafting is fast once files are uploaded, but Eve does not run retrieval.
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
Eve starts where the records end
Eve's chronology engine is fast: its med-mal page cites about 30 minutes on files up to 40,000 pages. But that clock starts once records are on the platform. Someone still has to find every provider, send compliant requests, and chase facilities until complete records come back. That upstream half is the half LlamaLab runs.
Record chasing vs record retrieval
Eve's site says its agents help with chasing records inside your workflow. LlamaLab operates the retrieval itself: requests submitted as a healthcare organization, direct facility relationships, and records back in 4 days on average, with 30 to 40% back same day.
Provider discovery and qualification
Eve's nightly Auditor reviews the file your firm already has, which is useful. LlamaLab works on what the file is missing: reverse search runs the client's insurance claims data to find providers the client never mentioned at intake, and a licensed clinician signs off on proof of injury in under 7 days.
Better together
This isn't an either-or for most firms. Eve automates intake and drafting; LlamaLab delivers the complete, qualified records those workflows run on. Firms that use both get demands drafted in minutes from records that arrived in days.
Pricing comparison
Eve discloses roughly $350 per case for med-mal chronologies and quotes the broader platform. LlamaLab publishes retrieval pricing at $50 per facility request, billed as a recoverable case expense. They price different jobs: Eve prices analysis and drafting, LlamaLab prices getting the records.
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
Eve Legal
Quote-based; roughly $350 per case disclosed for med-mal chronologies
Per public materials at the time of writing (see sources).
Which one fits your firm?
When to choose Eve Legal
- You want one AI platform for intake, chronologies, demands, discovery and research.
- 24/7 AI voice intake in 28 languages would change how you sign cases.
- Your records process already works and drafting is the bottleneck.
When to choose LlamaLab
- Getting complete records is the bottleneck ahead of any drafting tool.
- Clients don't remember every provider and you need discovery from insurance data.
- You want a licensed clinician's proof-of-injury decision, not just a chronology.
- You want retrieval at published rates that stay recoverable.
- Files are stuck entirely: closed facilities, forgotten providers, records nobody can reach.
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 Eve Legal, answered
They do different jobs. Eve automates litigation workflow: intake, chronologies, demands, discovery. LlamaLab delivers the medical evidence those workflows need: retrieval in 4 days on average, provider discovery, and clinical qualification. Firms with a records bottleneck start with LlamaLab; many run both.
Eve is a workflow platform that works from records your firm supplies; its agents can help chase records but it does not operate a retrieval service. LlamaLab is the records layer: retrieval, reverse provider discovery from insurance data, and a licensed clinician's proof-of-injury decision.
They price different things. Eve quotes its platform and discloses roughly $350 per case for med-mal chronologies. LlamaLab publishes retrieval pricing at $50 per facility request, and retrieval-only billing stays recoverable from settlement rather than becoming firm overhead.
No, and Eve can't replace LlamaLab. Eve doesn't retrieve records; LlamaLab doesn't draft demands or run intake. Firms with both bottlenecks use LlamaLab to deliver complete, qualified records and Eve to automate the casework built on them.
Firms whose records process already works and whose bottleneck is casework: intake coverage, chronologies, demand letters, discovery responses, and firm analytics. Eve is built for that full workflow and is rated 4.9/5 on G2.
Eve does not operate a dedicated record retrieval service. Its site describes agents that assist with chasing records inside your workflow, and its analysis runs on records your firm supplies. LlamaLab runs the retrieval, with direct facility relationships and a 4-day average.
Yes. LlamaLab retrieves and qualifies the records, then your team runs Eve's chronologies, demands, and discovery on complete evidence. One product feeds the other.
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.