# How to Speed Up MLR Review: Cut Cycles, Not Corners

> Practical, compliance-safe ways to reduce MLR review cycles for pharma promotional material — cleaner claim substantiation, pre-review checks, annotation standards, and where AI pre-review tools genuinely help.

> MLR review is slow because committees keep finding problems — and every finding converts into a full revision round measured in calendar weeks. The highest-leverage way to speed up MLR is therefore not faster routing software but **fewer findings entering the room**: substantiate every claim before submission, annotate references the way reviewers read them, and pre-review against the checks the committee will run anyway.

## Where the time actually goes

A typical promotional deliverable takes **2–3+ review rounds**; each round costs the queue time, the meeting, the revision, and the re-queue. The math is brutal: cutting one round from a 3-round cycle saves ~a third of total calendar time — more than any workflow tool can claw back from routing efficiency. Rounds are caused by findings; findings cluster in predictable categories:

1. **Unsupported or overreaching claims** — the source says 38%, the slide says 42%; the study was 24 weeks, the copy implies durability
2. **Missing/incorrect referencing** — the citation exists but the reviewer can't find the substantiating passage
3. **Fair balance / ISI problems** (US) — safety information missing, buried, or mismatched to claim prominence
4. **Stale claims** — retired or superseded language surviving from a previous deliverable
5. **Off-label drift** — claim wording that wanders past the approved indication

Every one of these is detectable *before* submission. That's the entire thesis of the pre-review layer.

## Six practices that cut rounds

**1. Annotate to the paragraph, not the paper.** Reviewers verify claims against sources; making them hunt is how goodwill and days die. The working standard is a locator like `Pasieka 2020/pg3/col1/para2/lines2–6` — page, column, paragraph, lines, exactly as a human reads the printed page. (US teams call these *annotated references*; UK teams say *referenced copy*.)

**2. Submit from a claims matrix, never from memory.** If the deliverable only contains claims that already exist, verbatim, in your [claims matrix](/resources/how-to-build-a-claims-matrix/) with approved evidence — the substantiation review becomes a diff, not an investigation.

**3. Run the committee's checks before the committee.** Overreach, missing fair balance, unverifiable figures, retired claims: these are mechanical checks. Do them at the writer's desk. This is where AI pre-review tools (Lithero, Revisto, SecureCHEK, our own [Claims](/)) earn their existence — vendor speed figures ("90% cycle reduction," "70% faster") are marketing claims, but the mechanism is sound: a finding caught pre-submission never becomes a round.

**4. Make drift impossible, not just discouraged.** The most common late finding is a claim that was edited *after* it was matched to evidence. Tools that pin claim text to its evidence and flag any divergence (Claims does this with live drift detection against the claim library) close the gap between "checked once" and "still true at submission."

**5. Version the deliverable like you version the claims.** Reviewers re-litigate documents they don't trust. An auditable history — what changed since the last round, and nothing else — lets round 2 review the delta instead of the document.

**6. Pre-wire the reference pack.** Ship the annotated sources *with* the deliverable in the format your process expects (annotation comments, reference PDFs, locator list). Committees review what's in front of them; incomplete packs get parked.

## What NOT to do

- Don't game prominence, bury ISI, or lawyer claim language to slip past review — that trades cycle time for regulatory risk (OPDP letters cost more than any round).
- Don't buy routing software to fix a substantiation problem. If findings-per-round is high, workflow speed just delivers bad news faster.
- Don't treat vendor "X% faster" numbers as audited facts — ours included. Ask for the mechanism and measure your own rounds-per-deliverable before and after.

## The one metric

Track **findings per submission** and **rounds per deliverable**. Everything above exists to move those two numbers; if a tool or practice doesn't move them, drop it.

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Source: https://medcom.claims/resources/speed-up-mlr-review/ · Updated 2026-07-13 · © Mantir, Inc.