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EvenUp vs Lexitas

If you are weighing alternatives, EvenUp is built for plaintiff and personal injury firms and Lexitas is built for law firms and insurers. The choice turns on the output you need and how each prices it. Medrecords AI adds a third option: per-page record review with cited deliverables.

Key takeaways

  • EvenUp is a plaintiff demand ai product for plaintiff and personal injury firms. It is best known for demand packages and case valuations at scale.
  • Lexitas is a litigation services product for law firms and insurers. It is best known for a large national litigation services firm.
  • Both publish their citation approach differently: EvenUp says evidence-based drafting per its site, while Lexitas says not applicable to retrieval.
  • Pricing is the fastest filter: EvenUp is project-based, quote only and Lexitas is quote-based.
  • Medrecords AI is the third option: per-page pricing, source-linked output and a drafted chronology, demand or report from the same record set.

Side by side

Vendor pages read 20 Oct 2026
Primary buyer
Plaintiff and personal injury firms
Law firms and insurers
Law firms, LNCs, claims teams, IME physicians and TPAs
Scope
Demand packages, case valuation and medical chronologies
Records, depositions, court reporting and litigation support
Record review and cited legal deliverables
Pricing model
Project-based, quote only
Quote-based
Per deduplicated page, 10 cents down to 5 cents at volume
Source citations
Evidence-based drafting per its site
Not applicable to retrieval
Every AI answer and chronology entry links to its source line
Formats read
Medical records
Paper and electronic records
PDFs, scans, handwriting and DICOM imaging
Security
SOC 2 and HIPAA noted on its [site](https://www.evenuplaw.com/); 2,000+ law firms and 200K+ cases resolved.
About $105M revenue (Owler); a large national litigation services firm.
SOC 2 controls under NDA; HIPAA; BAA and DPA on cloud plans
Trial
Not published
Not published
First case is free on us, no page cap
Best fit
PI firms focused on demands and valuations.
Firms that need services, not software.
Teams that need a cited deliverable without a platform migration
What EvenUp does well

Demand packages and case valuations at scale.

What Lexitas does well

A large national litigation services firm.

What is EvenUp?

EvenUp is a plaintiff demand ai product for plaintiff and personal injury firms. Its published scope covers demand packages, case valuation and medical chronologies. It works with medical records and describes its citation position as evidence-based drafting per its site. On security it lists soc 2 and hipaa noted on its site; 2,000+ law firms and 200k+ cases resolved.. The company was founded in 2019; its public funding and headcount position is $385m total; latest $150m series e at a $2b+ valuation, per its announcement. and 500-672 employees (silicon valley investclub and getlatka).. It is the better fit when pi firms focused on demands and valuations.

What is Lexitas?

Lexitas is a litigation services product for law firms and insurers. Its published scope covers records, depositions, court reporting and litigation support. It works with paper and electronic records and describes its citation position as not applicable to retrieval. On security it lists about $105m revenue (owler); a large national litigation services firm.. The company was founded in Not published; its public funding and headcount position is $364m (pitchbook); acquired by apax partners from trinity hunt partners (lexitaslegal.com). and 790-1,300 employees (owler and pitchbook).. It is the better fit when firms that need services, not software.

Company snapshot

Funding, headcount, traffic, reviews and security from third-party sources, linked where published.

Funding
$385M total; latest $150M Series E at a $2B+ valuation, per its announcement.
$364M (PitchBook); acquired by Apax Partners from Trinity Hunt Partners (lexitaslegal.com).
Team
500-672 employees (Silicon Valley Investclub and GetLatka).
790-1,300 employees (Owler and PitchBook).
Traffic
Similarweb global rank about 494K, down 38.59% month over month (Similarweb).
Similarweb global rank about 993K, up 9.91% month over month (Similarweb).
Reviews
Not listed on G2 or Capterra as of 19 Oct 2026.
Not listed on G2 or Capterra as of 19 Oct 2026.
Security
SOC 2 and HIPAA noted on its site; 2,000+ law firms and 200K+ cases resolved.
About $105M revenue (Owler); a large national litigation services firm.
Social
Active on LinkedIn and X.
Active on LinkedIn, X, Facebook and Instagram.

Where reviewers praise and complain

Independent reviews, where the vendor is listed, in reviewers' own terms. Ratings are point-in-time.

EvenUp
What reviewers like
  • Human review on every demand, which users cite for accuracy
  • $385M raised, 2,000+ firms, 200K+ cases
Where it falls short
  • Most expensive option in one Reddit comparison
  • Credit-based pricing described as confusing
  • Slower processing because of human review
Lexitas
What reviewers like
  • 790-1,300 staff across records, depositions and court reporting
  • About $105M revenue (Owler)
Where it falls short
  • Quote-only pricing
  • Services, not software

What Medrecords AI customers say

Customer calls, shared with permission

These are Medrecords AI customers, not independent reviewers. Quotes come from recorded demos and customer calls, shared with permission.

“I have 12 AI medical record review vendors down here. And of them, this is the one I'm choosing to go with. Number one is the quality of the product. The second is that the cost makes sense.”
Diane, medical malpractice attorney (RN, JD)
“Even an hour to process a full case file is super fast. I was worried it might take 2 or 3 days.”
Brian, IME physician
“It's so refreshing to pay per use instead of a year-long contract. Pretty game-changing.”
Timothy, expert witness consultant
Timothy Richards, expert witness consultant, on the missing records page and duplicate handling. 28-second clip from a recorded customer call.
Customer feedback call, October 2026: "The app is behaving really well, and Bonnie and I are enjoying the experience." 55-second clip, shared with permission.
Why teams choose Medrecords AI
  • Pay per page, not per seat or month: 10 cents down to 5 cents at volume, duplicates free.
  • Every finding links to its source page, including DICOM imaging.
  • First case is free on us, with no page cap and no card.

Where they are cited

EvenUp: Reuters covered its Series D and E; r/legaltech users describe its pricing and human-review trade-off.

Lexitas: Apax Partners' acquisition and PitchBook's $364M figure are public.

How EvenUp and Lexitas differ

EvenUp is a plaintiff demand ai product for plaintiff and personal injury firms, with a scope that covers demand packages, case valuation and medical chronologies. Lexitas is a litigation services product for law firms and insurers, with a scope that covers records, depositions, court reporting and litigation support. If those 2 descriptions point at different teams, the decision is mostly about which team owns the file, not which feature list is longer.

On pricing, EvenUp is project-based, quote only, while Lexitas is quote-based. On citations, EvenUp: evidence-based drafting per its site. Lexitas: not applicable to retrieval. Ask both for a sample where a finding opens the underlying record page, then price the same file.

Feature by feature

Demand and drafting

EvenUp covers demand packages, case valuation and medical chronologies. Lexitas covers records, depositions, court reporting and litigation support. If one of those scopes is the exact output your team hands to counsel, that is the faster starting point. If both can produce it, compare the draft, the template flexibility and how many edits the attorney still has to make.

Medical records and chronologies

Ask both to process the same messy record set, including scans, duplicates, handwritten notes and missing pages. EvenUp works with medical records and says evidence-based drafting per its site. Lexitas works with paper and electronic records and says not applicable to retrieval. The output that survives the source-link check is the one worth a contract.

Pricing and contract

EvenUp is project-based, quote only. Lexitas is quote-based. Neither comparison should stop at the monthly figure. Ask whether pricing is per user, case, demand, page or custom; whether revisions and human review are included; whether there are page limits or overages; and what onboarding costs in staff time.

Security and data handling

EvenUp lists soc 2 and hipaa noted on its site; 2,000+ law firms and 200k+ cases resolved.. Lexitas lists about $105m revenue (owler); a large national litigation services firm.. Ask for the BAA, the DPA, where data is stored, how long it is retained, and whether client data is used for model training. A security page is a starting point, not the contract.

Workflow fit

EvenUp is the better fit when pi firms focused on demands and valuations. Lexitas is the better fit when firms that need services, not software. Medrecords AI is the better fit when the job is a cited chronology plus a drafted demand, IME report or deposition summary, without a platform migration.

Questions to ask on a demo

  • Can we run a real or redacted case, not a vendor sample?
  • How does the tool handle scans, duplicates, handwritten notes and missing pages?
  • Does every chronology entry open the source page and line?
  • What is included in the quoted price, and what is billed extra?
  • Are revisions and human review included?
  • What is the turnaround for a 2,000-page file?
  • Which certifications and BAAs are available, and where is data stored?
  • Is client data used for model training?
  • What export formats are supported?
  • What does onboarding require from our team?

Red flags

  • The demo never shows messy records.
  • The chronology has no source links.
  • Pricing stays vague after 2 calls.
  • There is no clear answer on PHI, BAAs or retention.
  • Revisions or human review are billed without notice.
  • The platform solves a different team's problem.

How to test both on one file

  1. Upload the same record set to EvenUp, Lexitas and Medrecords AI.
  2. Open the source link behind one chronology entry or summary line in each output.
  3. Compare the draft you would send to counsel, then compare the bill for the same page count.

This is the fastest way to tell a records service from a software platform. The output that survives the citation check is the one worth a contract.

Migration and switching

Switching between EvenUp, Lexitas and Medrecords AI is less about data export than about trust. Ask each vendor for a named onboarding contact, a sample migration plan, the export formats and a go-live date. Then re-run 3 representative files, including one messy record set, and compare the chronology, the citations and the bill before you cancel anything. A migration that saves a subscription but loses the source trail is not a saving.

Keep the old tool live until one real file has passed the citation check. That single test tells you more than a migration deck, because it shows how the new vendor handles the records your team actually receives.

Who should choose which
Choose EvenUp when

PI firms focused on demands and valuations.

Choose Lexitas when

Firms that need services, not software.

Choose Medrecords AI when

You need a cited chronology and a drafted demand package, IME report or deposition summary from a record set, with published per-page pricing and a free first case.

Where Medrecords AI fits

Medrecords AI is not a replacement for EvenUp when you need a plaintiff demand ai platform, or for Lexitas when you need a litigation services platform. It is the third option for the record-review step: upload a record set, get a source-linked chronology and a drafted demand package, IME report or deposition summary, then review, revise and sign it.

That matters when the bottleneck is the file rather than the firm. Medrecords AI publishes its price at 10 cents per deduplicated page, falling to 5 cents at volume, with duplicates free. It reads PDFs, scans, handwriting and DICOM imaging. First case is free on us, with no page cap and no card.

EvenUp vs Lexitas: common questions

Which is better, EvenUp or Lexitas?+

They do different jobs. EvenUp is built for plaintiff and personal injury firms, while Lexitas is built for law firms and insurers. Pick the one whose buyer and output match your file, then test both on the same record set.

How do EvenUp and Lexitas price?+

EvenUp: Project-based, quote only. Lexitas: Quote-based. Medrecords AI publishes 10 cents per deduplicated page, falling to 5 cents at volume, with duplicates free.

Do EvenUp and Lexitas cite every finding?+

EvenUp: Evidence-based drafting per its site. Lexitas: Not applicable to retrieval. Medrecords AI links every AI answer and chronology entry to its source line.

Where does Medrecords AI fit?+

Medrecords AI reads the record, cites every finding and drafts the chronology, demand package, IME report or deposition summary. First case is free on us, no page cap and no card.

Which is better for medical chronologies, EvenUp or Lexitas?+

It depends on the record set. EvenUp works with medical records and Lexitas with paper and electronic records. Ask each to produce a chronology from the same messy file and check the source links.

Which is better for demand packages, EvenUp or Lexitas?+

EvenUp covers demand packages, case valuation and medical chronologies. Lexitas covers records, depositions, court reporting and litigation support. If one of those scopes is the demand workflow you need, start there; otherwise test both on the same file.

Full comparisons

Read each vendor against Medrecords AI on the same buying rows.

Medrecords AI vs EvenUp →Medrecords AI vs Lexitas →

Bottom line

Choose EvenUp when pi firms focused on demands and valuations. Choose Lexitas when firms that need services, not software. Choose Medrecords AI when the job is a cited chronology plus a drafted demand, IME report or deposition summary, with published per-page pricing and a free first case.

The worst outcome is buying a platform for a problem your team does not have. Run one real file through each option, open the source behind one finding, and compare the draft you would send to counsel. Decide on the output, the citations and the bill, not the demo.

More EvenUp comparisons

Sources

Vendor facts come from each vendor's own published pages, read 20 Oct 2026.