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EvenUp — Profile & Assessment

EvenUp publishes 6 of the 8 buying facts this rubric checks, including both pricing and turnaround. EvenUp operates in the medical-record review ecosystem, within the AI-native / Tech-enabled service segment. This profile records what the company publishes about its services, maps those claims to the Content Hub evaluation rubric, and cites every source behind them. 15 of 17 facts are confirmed from 16 public sources; unpublished fields are marked, never estimated.

4 sections·16 sources·Verified 2026-08-28 ✓
Disclosure
14/17 facts
01

What it does

AI-generated demand packages for personal injury claims: medical chronology/record summarization, injury narrative and damages analysis, demand letter drafting; positions itself as 'AI software that automates the preparation of legal demand packages.'. Everything above is drawn from the 16 public sources cited at the foot of this page. Fields the company does not publish are marked as unpublished below rather than estimated.

Key facts

Segment

AI-native / Tech-enabled service

Website

https://www.evenup.com

Founded

Not published on official channels this session (widely reported in press as 2019/2020, co-founded by Rami Karjian and Saam Mashhad — unverified live, medium confidence)

HQ

San Francisco, CA — exact street address Not published

Headcount

501–1,000 employees

Ownership

Private, venture-backed. Crunchbase shows 6 funding rounds total, most recent identified as a Series E led by Bessemer Venture Partners (11 investors incl. BroadLight Capital); 25 total investors listed including Bessemer, BroadLight Capital, B Capital Group. Exact amounts/dates/valuation obfuscated on the free Crunchbase view — Not published. (Press has previously reported EvenUp reaching unicorn ($1B+) valuation; unverified this session.)

Pricing

Not published (no public pricing page found/accessible this session; historically reported by press as case-based/per-demand pricing, but exact figures unverified this session)

Certifications

Not published (not confirmed live this session)

Not publishedTurnaround
02

Evaluation criteria

Content Hub rubric7 of 8 published
Processing model
AI + Human QA (100+ in-house legal/medical experts review every output)
Human QA
Included
Typical turnaround
Marketed 'Express' tier of 1-24 hours; third-party reviews report actual turnaround often 5-7 days
Pricing model
Project-based / Quote-based (annual contract via sales)
Export formats
Web, PDF, and DOCX (MedChrons chronology output)
Best for
High-volume plaintiff personal injury firms outsourcing demand letters and medical chronologies
Customer satisfaction
No public reviews found
Not published
Indicative cost goes unstated, as it does across most of this market. The questions to ask instead are below.
03

Profile notes

Who it serves
Personal injury (primary focus)
Claims & platform notes
Not published in detail this session — general positioning is proprietary AI models trained on demand/settlement outcome data; no accuracy or model claims independently verified this session Not published (site was not directly fetchable this session due to an SSL error)
Review summary
Verdict: conditional. The traffic analysis found EvenUp's domain is the only specialist with a public traffic estimate in the measured set (Similarweb ~62.4k visits, May 2026, largely organic+paid search) — evidence of scaled demand acquisition, not a quality verdict.
04

What to confirm before you sign

EvenUp publishes 7 of the 8 fields in the Content Hub rubric. Across the 10 AI-native / Tech-enabled service vendors profiled here, the median is 6 of 8.

    The other nine questions, and what all 270 profiled vendors do and do not publish, are in the evaluation guide.

    Sources

    How Medrecords AI does this work

    EvenUp works in medical-record review. Medrecords AI does this category of work as software: the record sorted, deduplicated and read in minutes, every statement cited back to its page, and a qualified human signs off on what it means.

    Test it on a file you already have.
    Send one real record set. You get back a cited chronology and decide for yourself whether the read holds up — no obligation either way.

    Explore the Content Hub

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    Last verified: 2026-08-15