MLR review software compared: workflow systems and AI pre-checks

Medical, legal and regulatory (MLR) review is the gate every piece of pharma promotion passes before it goes out. Software for it does two different jobs. Some products run the review: routing, comments, sign-off and the audit trail. Others read the piece and flag problems before a person looks.

Most vendors now sell both. This page compares eight products by what each says on its own site in November 2026. Arca is one of them, and the page says where it is not the right tool.

Two jobs

An AI pre-check does not replace the reviewers. Every vendor below says a person makes the final call.

What each vendor says

Veeva sells Vault PromoMats as "the system of record for compliant content management, supporting the full lifecycle of promotional content." Its Falcon MLR agent plugs into PromoMats and, in Veeva's words, delivers reviews "right where your teams already work." Veeva says Falcon MLR covers more than 35 regulations and flags more than 95% of critical compliance issues, and it announced the product in 2026.

Aproove is a regulated proofing and workflow platform used across several industries. For pharma it describes parallel MLR review with per-decision e-signatures, an automatic audit trail and AI review agents that check files against rules the customer defines. It says "the human always makes the final call."

Vodori sells a content platform with a pre-review step. Content Preflight checks spelling, grammar, formatting, hyperlinks, logo use and content ID placement, and Vodori says it "is not intended to replace the review process." Claims Intelligence compares each claim to approved and rejected claims "by meaning, not just wording." Vodori publishes a SOC 2 Type 2 report and supports Part 11 and Annex 11 e-signatures.

Revisto is AI-first. It describes five agents that cover regulatory compliance, claim substantiation, fair balance, editorial and brand, and market and channel rules. A companion runs inside Veeva Vault PromoMats. Revisto says it cuts review cycles by 90%.

Caidera, a German company, checks drafts against a customer's approved claims, rules and local advertising codes, then routes them for approval. It says "every finding points at something you approved" and that "a person still signs the content off." It lists FDA, ABPI and HWG among its frameworks and is EU-hosted.

ERMA Systems sells ERMA Evaluate, which says it "identifies claims, assigns references, and flags FDA risk inside your assets." It also lists review workflows and automated Form 2253 preparation.

Filestage is a general proofing and approval tool with a pharma page. Its AI Review Agents check things such as forbidden terms, labels and custom prompts. Filestage lists SOC 2 Type II and ISO 27001 on its security page.

Services-led options. ZS, EVERSANA and Indegene each sell MLR acceleration inside a wider services business, with their own claims about review time. They are agencies and consultancies first, so compare them on how the people work, not on a feature list.

What the vendor pages leave out

• Accuracy. Veeva and Revisto give percentages. Neither page explains the test set, so ask for one.
• What the AI checks. "Compliance" can mean spell-check and logo placement, or claim-to-label substantiation and fair balance. Vodori's Preflight, for example, is editorial and formatting. These are different checks.
• Which rules. Ask whether the tool applies 21 CFR 202.1 element by element, or only flags generic risk.
• Where the record lives. After approval, which system holds the final copy and its audit trail?

What FDA expects

Companies submit promotional pieces to FDA on Form FDA 2253 at the time of first dissemination, under 21 CFR 314.81(b)(3)(i), and 21 CFR 601.12(f)(4) points biologics to the same rule. FDA's Office of Prescription Drug Promotion publishes its untitled letters. They show which claims drew objections. See Form FDA 2253, untitled letters and the OPDP letters search.

How Arca handles it

Arca runs a built-in MLR and promotional review AOP. You give it the asset, the approved label and your claims library. It does this:

1. Identifies the audience, consumer or healthcare professional, and the channel.
2. Extracts every claim, including what the piece implies, with its location or timestamp.
3. Confirms the brand and established name match the label.
4. Checks the required elements of 21 CFR 202.1 one row at a time, including established name size against the brand name, quantitative ingredient information, the major statement and fair balance.
5. Matches each claim to your claims library and the label, and flags what is unsubstantiated or off-label, citing the label passage or its absence.
6. Checks FDA guidance, named by title and year.
7. Builds a claim-by-claim decision grid, a fair-balance assessment, a Form 2253 readiness note and an annotated findings PDF with the offending text boxed.

Arca never invents substantiation. It flags a gap and leaves the fix to the reviewer. Its MLR page describes checks against FDA untitled letters, your prescribing information, clinical study reports and past campaigns, with each finding routed to Medical, Legal or Regulatory.

A second AOP, Labeling Change Management, diffs a changed label, yours or a competitor's, and maps the change to the approved claims it affects.

Where Arca differs from the workflow systems above: Arca is not the system of record for approved promotional content. Keep the approved copy and its audit trail in your MLR system, such as PromoMats, Aproove or Vodori. Arca fits where you want the check itself to be deep, tied to the label and FDA's enforcement record, and run on your own SOP.

Choosing

Choose Veeva PromoMats if your team already runs Vault and wants review inside it. Choose Aproove, Vodori or Filestage if the main need is a review workflow with e-signatures. Choose Revisto, Caidera or ERMA for an AI check on claims across channels. Choose a services firm if you want people to run the process for you.

Choose Arca if you want each claim checked against the label and FDA's own letters, with a cited, annotated finding for each one, on the same platform your regulatory and medical teams already use. For the wider market, see AI software for regulatory affairs. For the data behind the claims FDA objects to, see OPDP untitled letters, 2025 to 2026.

What to check in any MLR tool

• Does it check each claim against the label, or only the style of the piece?
• Can it show the label passage behind each finding?
• Does it apply 21 CFR 202.1 element by element?
• What is the accuracy, and on whose test set?
• Does it write edits in the audience's language, consumer or HCP?
• Where does the approved version live, and who signs it?
• Does it work on video and audio, with the voiceover and on-screen text checked separately?

Frequently asked questions

What is MLR review software?

It supports the medical, legal and regulatory review of promotional material before release. Some products run the review workflow and keep the audit trail. Others use AI to check claims and flag risks before human review.

Can AI do MLR review?

AI can extract claims, match them to the label and approved claims, and flag unsubstantiated or off-label statements. Reviewers still decide. Arca flags and cites. It does not invent substantiation or approve a piece.

How do I check pharma promotional claims against FDA untitled letters?

Search the letters on FDA's untitled letters page or in Arca's free OPDP letters search, and compare the language of your claim with the cited violations. Arca's MLR review checks claims against those letters during the review.

What is the best software for pharma ad compliance?

It depends on the job. Veeva PromoMats, Aproove and Vodori run the review. Revisto, Caidera, ERMA and Arca add AI checks. Arca checks claims against the label, 21 CFR 202.1 and FDA letters.

Does Arca replace Veeva PromoMats?

No. Keep your approved content and audit trail in your MLR system. Arca performs the claim-by-claim check and routes findings to reviewers.