EvenUp pricing

About

EvenUp is an AI platform built for one industry: personal injury (PI) law. It markets itself as the Claims Intelligence Platform and covers the full case lifecycle — Intake, Treatment, Demands, and Negotiation on the pre-litigation side, plus Discovery and Trial support on the litigation side. The engine underneath is Piai, a proprietary model EvenUp says is trained on the largest dataset in personal injury. The platform processes roughly 10,000 cases a week and is used by 2,000+ PI firms.

The flagship outputs are demand packages (AI-drafted, internally reviewed settlement demand letters), MedChrons (interactive medical chronologies built from raw records), medical bill summaries, complaints, and interrogatory responses. EvenUp wraps these in PLAAS (Pre-Litigation as a Service) — the firm hands off the grind of pre-litigation and EvenUp returns finished work product.

Commercially, EvenUp is a venture darling: a $150M Series E led by Bessemer at a $2B+ valuation in October 2025, more than doubling its $1B+ Series D from 2024, bringing total capital raised to $385M. That makes it one of the most valuable vertical-AI companies built around a single legal niche.

For the most current information, visit EvenUp.

Pricing summary : How EvenUp’s pricing model works

Here is the honest version: EvenUp does not publish prices. The pricing page returns a 404, there is no self-serve signup, and there is no free tier. Every firm books a demo and gets a custom quote scaled to firm size and case volume. We set price_transparency: sales-only because that is the reality — not because numbers are hidden behind a paywall, but because none are published at all.

What has been disclosed is the shape of the model, and it changed materially. EvenUp built its business on per-demand / per-document billing — you paid for each demand package or document it produced. In December 2025 it announced case-based pricing: “One clear, predictable cost per case will provide powerful, straightforward access to the full Claims Intelligence Platform without confusing feature tiers or unpredictable add-ons.” That is a deliberate move from a transactional, per-artifact meter to a single per-case value metric.

On the historical per-demand model, third-party sources (a competitor comparison page and review trackers) reported a base of roughly $300 per demand, with totals often reaching $500–$800+ once token-based add-ons and extras were included. Those are reported figures cited here in words with attribution — EvenUp has never published them as a rate card.

What makes this different: EvenUp prices the legal work product — the demand package, then the case — rather than seats or tokens the way most AI tools do. The value metric maps directly to how a PI firm thinks about its book of business: cases in, settlements out.

Pricing by product

Sales motions across products: sales-led only — no self-serve, no free tier, no published rate card. The historical per-demand dollar figures above are reported by third parties (competitor comparison + review sources), not published by EvenUp; treat them as indicative.

Hidden costs : What EvenUp users actually pay

The “hidden cost” critique is the central knock on EvenUp’s old model — and the explicit reason for the new one. On per-demand billing, third-party sources reported that a roughly $300 base per demand could “balloon to $800+ with token math and extras,” with users citing “obscure token pricing and hidden fees.” A reported total range of $500–$800+ per demand once add-ons were included made it hard for a firm to predict spend per case.

The December 2025 case-based model is EvenUp’s answer: collapse the add-ons into one cost per case. Whether that genuinely lowers total cost or simply repackages it depends on the per-case number — which EvenUp does not publish — but it removes the per-artifact unpredictability.

Other real-world frictions buyers cite: turnaround. EvenUp markets “Express” demands in as little as 1–24 hours, but reviewers report typical delivery of 5–7 days and a relatively locked revision process — an operational cost, not a line item.

Want to estimate your own EvenUp bill? Use the EvenUp pricing calculator to model your costs based on case volume.

Pricing evolution : EvenUp pricing history and changes

Cadence

Tracked range: 2023–present. EvenUp publishes no rate card, so dollar history relies on third-party reporting plus EvenUp’s own model-change announcements.

Notable changes

• 2023 — Launched with per-demand / per-document billing; reported ~$300 base per demand, totals often $500–$800+ with extras.
• 2024 Q4 — Series D at $1B+ valuation; platform broadened across pre-litigation and litigation.
• 2025-10-07 — $150M Series E led by Bessemer at a $2B+ valuation; total raised $385M.
• 2025-12-19 — Case-based pricing replaces feature tiers; AI Drafts Suite, Smart Workflows, and Medical Bill Summary ship together.

What’s unique : EvenUp’s distinctive pricing mechanics

1. The case is the value metric. Most AI tools meter seats or tokens. EvenUp prices the unit a PI firm actually cares about — the case (and historically the demand package). That aligns price with outcome far more tightly than per-seat SaaS, and it is why the model reads as outcome-based even without explicit contingency.

2. Sales-led by design, not by accident. There is no rate card because there is no self-serve. Pricing is quoted per firm by size and case volume — appropriate for a product that produces legal work product a firm will put its name on.

3. A deliberate de-metering move. EvenUp ran a token-flavored per-artifact meter, took heat for unpredictability, and in December 2025 removed the meter in favor of one cost per case. That is the opposite of the industry’s drift toward finer-grained usage metering — a vertical-specific bet that predictability beats precision when the buyer is a law firm budgeting per case.

Strengths & weaknesses

Billing UX : EvenUp billing controls and transparency

• Billing controls — Quoted and contracted per firm; no public self-serve dashboard for buying. The case-based model aims to make spend predictable by tying cost to a known unit (cases).
• Usage visibility — EvenUp surfaces case progress and firm performance via Executive Analytics and Case Financials, but pre-purchase price transparency is effectively zero (no rate card, no public pricing page).
• Payment options — Enterprise/firm contracting; terms negotiated through sales. Not disclosed publicly.

Strategic wins : Why EvenUp’s pricing decisions worked

1. Pricing the work product, not the software

By charging per demand and then per case, EvenUp anchors its price to legal output a firm already values in dollars — not to abstract seats or tokens. That makes ROI legible to a managing partner and supports premium pricing. See outcome-based pricing trends.

2. Reading the buyer and de-metering

The shift from token-flavored per-artifact billing to one cost per case was a direct response to firm complaints about unpredictability. Choosing predictability over granular metering — for a buyer who budgets per case — is a sharp value-metric call. Related: how AI companies structure pricing and choosing the right usage metric.

3. Vertical depth funds premium economics

A single-vertical dataset (Piai) and PLAAS turn EvenUp from a tool into a service, justifying sales-led, quoted pricing and a $2B+ valuation off one niche. See usage-based pricing strategy.

Areas to improve : Gaps in EvenUp’s pricing approach

1. Zero pre-sale price transparency

A 404 pricing page forces every prospect into a sales call before they can size the spend. For smaller PI firms evaluating against cheaper, transparent alternatives, that friction is a real disadvantage. See bill shock and cost unpredictability.

2. The “hidden fees” reputation outlived the old model

Competitors built comparison pages around EvenUp’s reported “$300 base balloons to $800+” billing. The December 2025 case-based model addresses the mechanics, but the perception lingers — and EvenUp still hasn’t published the per-case number to prove the new model is simpler and fairly priced.

3. Expectation gaps on delivery

Marketing “Express” demands in 1–24 hours while reviewers report 5–7 days creates an expectations-vs-reality gap that erodes trust in an otherwise premium product. Tightening that (or pricing it honestly) would strengthen the value story.

Key takeaways

1. EvenUp prices the case, not the seat. Its value metric is the demand package and now the case — outcome-aligned, premium, and legible to law-firm buyers.
2. It de-metered on purpose. Moving from token-flavored per-artifact billing to one cost per case bucks the industry’s finer-grained-metering trend, betting predictability wins for this buyer.
3. Sales-only is a deliberate posture. No rate card, no free tier, no self-serve — appropriate for legal work product, but a friction wall for smaller firms.
4. Reputation lags pricing. The “hidden fees” critique drove the 2025 overhaul; EvenUp still hasn’t published the new per-case price to fully retire it.
5. Vertical depth funds the model. One niche, a proprietary dataset, and a $2B+ valuation show how far a well-chosen value metric can carry a vertical-AI company.

UBP implications

1. Match the meter to the buyer’s mental model. PI firms budget per case; EvenUp’s case-based price wins because it speaks the buyer’s accounting language, not the vendor’s infrastructure.
2. Granularity can backfire. Token-style per-artifact metering created bill-shock and a competitor attack surface. Sometimes the right UBP move is coarser — bundle to a unit the customer trusts.
3. Outcome-aligned pricing supports premium economics — if you publish enough to be evaluated. EvenUp’s value metric is excellent; its transparency is not, which is the recurring tension for sales-led vertical AI.

Sources

• EvenUp official website (accessed 2026-06-16)
• EvenUp — Demands product (accessed 2026-06-16)
• EvenUp blog — Introducing AI Drafts & Case-Based Pricing (Dec 19, 2025) (accessed 2026-06-16)
• EvenUp — $150M Series E at $2B+ valuation (Oct 2025) (accessed 2026-06-16)
• Fortune — EvenUp Series E exclusive (Oct 7, 2025) (accessed 2026-06-16)
• Precedent — Precedent vs. EvenUp comparison (competitor source, reported pricing figures) (accessed 2026-06-16)

Bottom line

EvenUp is the most valuable bet in vertical legal AI — a $2B+ company built on personal injury work product. Its pricing is sales-led with no public rate card: historically billed per demand / per document (reported ~$300 base, often $500–$800+ with extras), now restructured to one predictable cost per case for full-platform access as of December 2025. The value-metric instinct is excellent; the transparency is the gap.

Browse the pricing blueprint for fully-researched company profiles.

Want to compare EvenUp against other vertical-AI companies? Browse the pricing blueprint.

Pricing timeline : Major events on a vertical axis

Each milestone below corresponds to a public pricing change, product launch, or material adjustment. Major events use a filled marker; minor adjustments use a faded one.

Case-based pricing introduced

Dec 2025

EvenUp replaced feature-based tiers with 'case-based pricing' — one predictable cost per case for full Claims Intelligence Platform access — alongside the AI Drafts Suite, Smart Workflows, and Medical Bill Summary launches. No dollar figure was published.

Series E: $150M at $2B+ valuation

Oct 2025

EvenUp raised $150M Series E led by Bessemer at a $2B+ valuation, more than doubling in under a year; total capital raised reached $385M as weekly case volume neared 10,000.

Series D at $1B+ valuation

Oct 2024

EvenUp raised a Series D (~$135M) at a valuation over $1B, scaling its dataset and platform across pre-litigation and litigation workflows.

Per-demand / per-document billing

Jun 2023

EvenUp's early model billed per demand package and per document (e.g., demand letters, medical chronologies). Third-party sources later reported a base around $300 per demand with totals often reaching $500–$800+ once add-ons and token-based charges were included.