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MLR review cost and time, cut by 70%.

Medical-Legal-Regulatory review shouldn't run on email chains and hand-assembled packets. QuipMLR is agentic AI that generates review documentation and moves it through a structured digital workflow, saving 70% of MLR review cost and time.

REQUEST A QUIPMLR DEMO PHARMA & LIFE SCIENCES →

THE PROBLEM

Where MLR time actually goes

Reviewers aren't the bottleneck; the process is. Most MLR cycle time goes to assembling review documents, chasing inbox threads, and reconciling versions.

MANUAL DOCUMENT ASSEMBLY

Claims matrices, reference packets, and annotation documents compiled by hand for every asset. QuipMLR's agentic AI generates them.

EMAIL-CHAIN WORKFLOW

Review routed through inboxes means lost threads and no audit trail. QuipMLR puts every asset, comment, and decision in one system.

NO CYCLE VISIBILITY

When nobody can see where an asset sits, launch dates slip. QuipMLR makes status, owner, and bottleneck visible.

THE PRODUCT

Agentic AI, with reviewers firmly in charge

QuipMLR automates the work around the review decision, never the decision itself.

Automated review document generation

Agentic AI drafts the MLR documentation package for each asset, cutting the compilation labor out of every cycle.

Structured digital workflow

Assets move through defined review stages with owners, due dates, and a full audit trail.

Human sign-off, always

Reviewers keep final approval on 100% of content. Approval gates and audit trails follow NextRow's AI Governance & Safety practice.

Platform-agnostic

QuipMLR works with the DAM, workflow, and review stack you already run. Built on the agent engineering behind NextRow's Claude Agents practice.

THE REVIEW LIFECYCLE

Four stages. QuipMLR automates the two that burn the weeks.

Compiling an MLR review document by hand takes two to four weeks of screenshotting changes. QuipMLR captures full-page content, including animated GIFs and embedded video, and stitches a submission-ready packet.

01 · SUBMISSION

Review document generation

Web property content and assets captured automatically and assembled into a submission-ready packet.

AUTOMATED BY QUIPMLR

02 · APPROVAL

Medical, legal, regulatory sign-off

Reviewers work from one auditable packet instead of email chains. Human sign-off at every gate.

YOUR REVIEWERS

03 · PUBLISHING

Approved content goes live

Omni-channel publishing from the approved source, so what shipped matches what was signed off.

YOUR TEAM, IN AEM

04 · ARCHIVAL

Assets and metadata into the DAM

The approved packet and its metadata are archived automatically, the step teams most often skip.

AUTOMATED BY QUIPMLR

Built for Adobe Experience Manager, and platform-agnostic elsewhere. See pharma and life sciences, or read the MLR case study.

THE NUMBER

70% of MLR review cost and time, saved

The 70% comes from automating document generation and replacing email routing with structured workflow. See QuipTag for content operations upstream of review, and financial services for the same pattern in other regulated sectors.

SAVED

70%

Of MLR review cost and time, against the pre-automation process

Human sign-off is retained at every gate. What changed is that the email chains became one auditable workflow.

HOW WE ENGAGE

Prove it on your own document set

QuipMLR deployments follow the FrontRow methodology: the number gets proven in your environment first.

01

ASSESS

Map the cycle

Fixed-scope assessment of your MLR process: cycle time, cost per asset, and where the hours go.

02

PILOT

Run a real review

QuipMLR on a live document set, measured against your current cycle time and cost.

03

PRODUCTION

Roll out by brand

Structured workflow across committees, brands, and agencies, configured to your SOPs.

04

RUN

Operate and tune

24×5 managed operations keep the workflow, templates, and agent behavior current as regulations evolve.

READ THE MLR CASE STUDY →

ANSWERS · FAQ

What buyers ask

QuipMLR is NextRow Digital's agentic AI product for Medical-Legal-Regulatory review. It automates MLR review document generation for life sciences and other regulated industries, replaces manual email chains with a structured digital workflow, and saves 70% of MLR review cost and time.

70% of MLR review cost and time. The saving comes from two mechanisms: agentic AI generates the review documentation that teams currently assemble by hand, and a structured digital workflow replaces the email chains where review cycles stall. Reviewers spend their time reviewing, not compiling and chasing.

No. QuipMLR is platform-agnostic by design. It works alongside whatever DAM, workflow, and review stack you already run rather than forcing a migration. For teams on Adobe, NextRow, an Adobe Gold Solution Partner, connects it to the same content pipeline served by its QuipTag metadata product.

Medical, legal, and regulatory reviewers keep final sign-off on 100% of content. QuipMLR automates the document generation and workflow around the decision, never the decision itself. Approval gates and audit trails follow the governance discipline NextRow applies as an Anthropic Claude Certified Partner working in regulated industries.

Primarily life sciences: pharmaceutical and biotech MLR committees, medical reviewers, and the marketing and agency teams feeding them content. The same structured-review pattern serves other regulated industries, financial services compliance review among them, because the product is platform-agnostic and the 70% saving comes from the workflow, not the vertical.

Through NextRow's 4-stage FrontRow motion: a fixed-scope assessment of your current MLR cycle, then a governed pilot running QuipMLR on a real document set, measured against your existing review time and cost. Production rollout and managed operations follow once the pilot proves the number in your environment.

Take the weeks out of the review cycle.

See QuipMLR generate a submission-ready packet from your own content, with sign-off still yours.

REQUEST A QUIPMLR DEMO