In life sciences, every promotional asset waits on Medical-Legal-Regulatory review. QuipMLR automated the document and the workflow, saving 70% of review cost and time.
of MLR review cost and time saved against the pre-automation process
100%
of content still passes human sign-off at every gate
0
email chains left in the workflow, replaced by one auditable system
Any
content platform: QuipMLR is platform-agnostic and runs alongside what you have
01 · SITUATION
MLR review set the ceiling on content throughput.
Review capacity decides how much a brand can ship, and email is a slow place to run it.
01
Manual assembly
Claims, references, and prior rulings collected by hand for every asset, before evaluation started.
02
Email as workflow
Routing, comments, and approvals moved through email, so status was invisible and versions drifted.
03
A scattered audit trail
When QA or regulators asked what was approved and by whom, the answer lived across inboxes.
02 · APPROACH
Generate the document, structure the workflow, keep the humans.
QuipMLR, NextRow's agentic AI product for MLR review, generates the review document and runs the process in a structured, auditable workflow, alongside the systems already in place.
Automatic review documents
Claims, references, and prior rulings are gathered before a reviewer opens the asset.
Human sign-off at every gate
No asset advances without a named human approval, documented in NextRow's AI governance model.
Agentic and governed
The same discipline NextRow brings to Claude agent builds: bounded autonomy and a complete audit log.
03 · WHAT WAS MEASURED
70% of review cost and time, saved.
Measured against the pre-automation process during the engagement. The compliance bar did not move.
Cost and time
70% of MLR review cost and time saved across the full cycle.
Compliance held
Human reviewers still approve every asset. The saving came out of assembly, routing, and waiting, not scrutiny.
Auditability gained
Every decision, comment, and approval is recorded in one system, so audit questions get answered from a log.
About this case: figures come from NextRow's internal delivery measurement on the engagement described. The client is anonymized by policy; additional detail is available under NDA in an assessment conversation.
GO DEEPER
The product, the governance, the industry.
This engagement is one of the documented outcomes on the Results page.
QuipMLR
What it generates, how the workflow runs, and how it deploys alongside existing systems.
QuipMLR generates the Medical-Legal-Regulatory review document automatically and replaces manual email chains with a structured, auditable workflow. Human reviewers keep sign-off at every gate, and the measured saving was 70% of review cost and time.
By comparing QuipMLR-assisted review cost and time to the client's pre-automation MLR process during the engagement. The comparison covers the full cycle from document assembly through final approval.
Yes. Every gate in the QuipMLR workflow ends in a named human sign-off. The AI assembles, routes, and records, and approval authority stays with the medical, legal, and regulatory reviewers it always belonged to.
None in particular. QuipMLR is platform-agnostic and runs alongside existing content, DAM, and review systems. NextRow, an Anthropic Claude Certified Partner, deploys it with the same governance model it applies to Claude agents.
Take the waiting out of MLR review.
See QuipMLR run against your own review process, with the compliance bar where it is today.
