EvenUp drafts demand letters after you've decided to take the case. MedLegal AI tells you whether to take the case in the first place — and at a fraction of EvenUp's per-case cost.
EvenUp is the most-funded direct competitor in plaintiff AI — $385M raised, $2B+ valuation, 2,000+ firms. Their Piai™ is reportedly trained on hundreds of thousands of PI cases — auto, slip-and-fall, premises. Plaintiff medical-malpractice lives or dies on a different set of questions: standard-of-care, expert qualification, Daubert survival, and lien math. Those are the questions we build for.
| Feature | EvenUp | MedLegal AI |
|---|---|---|
| Daubert / expert-vulnerability workup | ✗ | ✓ |
| 9-source witness research (NPI, state board, news, social, academic, prior testimony) | ✗ | ✓ |
| Specialty-specific standard-of-care templates | ✗ | ✓ |
| Causation chain tied to peer-reviewed literature | ✗ | ✓ |
| 50-state SOL calculator | ✗ | ✓ |
| Medicare / Medicaid lien math | Tracks bills only | ✓ |
| Real-time deposition contradiction detection | ✗ | ✓ |
| Demand letter drafter | ✓ (PI-shaped) | ✓ (med-mal-shaped) |
| Medical-record summarization | ✓ | ✓ |
| Treatment-gap and missing-bill detection | ✓ (Medical Mgmt) | Lien-side |
| Human-in-the-loop QC review | ✓ | ✗ |
| Volume PI-trained AI corpus | ✓ | Med-mal corpus |
| Specialty-trained for plaintiff med-mal | ✗ | ✓ |
| Pricing model | Per-demand / per-case | Flat firm-wide / month |
| Turnaround | Reported 5–7 days actual on demands | Same-session AI output |
EvenUp's product surface starts after you've already decided the case is worth taking — they draft demands, complaints, and negotiation sheets. MedLegal AI is designed for the moment before that: Is this a viable expert? Will the causation theory survive Daubert? What does the Medicare conditional payment do to the recovery? That's the workflow we make a first-class product.
EvenUp's Piai™ is reportedly trained on hundreds of thousands of PI cases — auto, slip-and-fall, premises. Plaintiff med-mal has unique structural requirements: specialty SOC, causation tied to peer-reviewed literature, NPI lookups, state medical-board sanctions, prior-testimony pulls. We build for those. They don't.
EvenUp's hybrid AI-plus-human model has reportedly produced unpredictable timing (5–7 days actual on demands marketed at 1–24 hours) and per-demand bills that can run $500–$800+. MedLegal AI is a flat $49–$499/mo for the firm. Same price whether you evaluate 5 cases or 50 this month. Designed for contingency cash flow.
If your practice is auto, slip-and-fall, or premises liability, and the workflow is "drive demand letters at scale on cases we already accepted," EvenUp's PI-trained corpus, hybrid human-review model, and Medical Management product are purpose-built for that volume. Users have reported 20–30 hours/month of demand-letter prep saved. We don't compete in that lane and don't try to.
Designed for plaintiff med-mal case evaluation. Flat firm-wide pricing. No per-case fees. No credit card.
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