Medical Records Retrieval & Chronology for Immigration Attorneys with LollyLaw

LollyLaw Immigration Attorney Business Immigration

The Problem

Business Immigration cases need medical records from 8 providers, and each one sends 400 pages in a different format — the chronology is a week of paralegal time per matter.

What We Build in LollyLaw

AI requests records via HITECH, ingests them into INSZoom, builds a chronological medical timeline with visit-level detail, and flags gaps — demand package goes out in days, not weeks. Purpose-built for teams running LollyLaw — uses the native API or agent integration so nothing leaves the system of record.

LollyLaw Integration Approach

1

Audit your LollyLaw configuration

We map the specific LollyLaw objects, custom fields, and workflows the automation needs to touch for your business immigration practice.

2

Build on the LollyLaw API or agent

Integration happens inside LollyLaw — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in LollyLaw with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your LollyLaw instance

30-minute call. We'll look at your actual LollyLaw setup and show exactly how this workflow fits.

More About This Workflow

Medical Records Retrieval & Chronology for Immigration Attorneys

AI requests records via HITECH, ingests them into INSZoom, builds a chronological medical timeline with visit-level detail, and flags gaps — demand package goes out in days, not weeks.

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