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CoCounsel (Casetext) — Profile & Assessment

CoCounsel (Casetext) 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Content Hub evaluation rubric, and cites every source behind them. 14 of 17 facts are confirmed from 15 public sources; unpublished fields are marked, never estimated.

4 sections·15 sources·Verified 2026-08-21 ✓
Disclosure
14/17 facts
01

What it does

CoCounsel is an AI legal assistant with a medical-chronology 'skill'/workflow among its litigation tools, alongside document review, deposition prep, contract analysis, and legal research (via CARA/Casetext search). Everything above is drawn from the 15 public sources cited at the foot of this page. Fields the company does not publish are marked as unpublished below rather than estimated.

02

Evaluation criteria

Disclosure across the hub318 vendors profiled
12345median678

CoCounsel (Casetext) publishes 6 of the 8 fields in the rubric. Across the 318 vendors profiled in this hub the median is 5. 22 of the 318 publish more; 55 publish exactly as many.

Content Hub rubric6 of 8 published
Processing model
100% AI (self-serve legal research/drafting assistant)
Human QA
None disclosed
Typical turnaround
Not published
Pricing model
Subscription (per-user annual), bundled with Westlaw
Indicative cost
Core from $4,500/user/year (requires separate Westlaw subscription)
Export formats
Not published
Best for
Am Law 100 firms and corporate legal departments needing AI legal research/drafting
Customer satisfaction
No public reviews found
03

Profile notes

Who it serves
General litigation support including personal injury use cases via its medical chronology skill
Claims & platform notes
Built on large language models (GPT-4-class per public Thomson Reuters marketing at launch); specific current model and accuracy claims Not published this session (page fetch was blocked — PROXY_REJECTED/403) Not published this session
Review summary
Not independently rated by Medrecords AI. Cited public reviews are listed under Sources; Medrecords AI assigns no star rating without verified evidence.
04

What to confirm before you sign

CoCounsel (Casetext) publishes 6 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 gaps below are not marks against the vendor — most of this industry quotes on request. They are simply the questions you still have to ask, and the answers are worth getting in writing before a file changes hands.

  1. What is the turnaround on a 1,000-page file, and is that a median or a best case?
    Ask what the clock starts from — receipt, or the point the file clears intake — and what the same number looks like in your busiest week.
    Typical turnaround60% of AI-native / Tech-enabled service vendors leave this unpublishedOurs: same day on the self-service plan
  2. What formats does the deliverable come in, and do the citations survive export?
    Ask to see an exported file rather than a screen share. A citation that works inside the vendor's viewer and dies in Word is not a citation you can file.
    Export formats90% of AI-native / Tech-enabled service vendors leave this unpublishedOurs: DOCX or HTML, every citation stays a live link
  3. Where do the records live, and who signs the BAA?
    Protected health information is going to leave your office. Ask which entity holds it, in which country, and who is on the hook if it leaks.
  4. Is my data used to train a model?
    Ask for the answer in the contract rather than the sales call, and check whether it also binds their subprocessors.

Key facts

Segment

AI-native / Tech-enabled service

Website

casetext.com/cocounsel (also thomsonreuters.com/cocounsel)

Founded

Not published (Casetext founded by Jacob Heller and Pablo Arredondo, per Crunchbase; exact year Not published/obfuscated)

HQ

San Francisco, CA — exact street address Not published

Headcount

101–250 employees (pre-acquisition figure per Crunchbase; likely absorbed into Thomson Reuters headcount post-acquisition)

Ownership

Acquired by Thomson Reuters (deal price/date Not published this session — obfuscated on Crunchbase; widely reported in press at the time as a ~$650M acquisition, unverified live this session). Pre-acquisition Crunchbase shows 7 funding rounds, last a Series C; 26 total investors listed (incl. Bridge Investments, Cerity Partners Ventures).

Pricing

Not published (subscription/seat-based per Thomson Reuters enterprise legal-tech norms; exact figures Not published this session)

Certifications

Not published this session

Not publishedTurnaround

Sources

How Medrecords AI does this work

Medrecords AI does this category of work as software. The record is sorted, deduplicated and read in minutes, every statement cited back to its page, and a qualified human signs off on what it means.

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Send one real record set. You get back a cited chronology and decide for yourself whether the read holds up — no obligation either way.

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Last verified: 2026-08-15