Medical chronology and demand letter drafting

The problem

Plaintiff firms absorb labor hours on every case until it settles, and building a medical chronology from thousands of pages of records is one of the slowest steps before a demand letter can go out. Case files can run from a few hundred pages to over one hundred thousand, and paralegals spend hours extracting dates, treatments and providers by hand.

• Medical chronologies are built manually from files ranging from a few hundred to over one hundred thousand pages
• Demand letters must match each firm's specific house style and legal argument structure
• Case status can go unmonitored overnight while records continue to arrive
• Labor hours per case are the hard ceiling on how many clients a firm can take on

The solution

A document workflow extracts content from case files, constructs a medical chronology, and drafts a demand letter in the firm's house style, while an overnight agent monitors active cases for needed actions. Attorneys review and approve the drafted work rather than performing the extraction themselves.

1. Classifies incoming documents and triggers the appropriate case workflow
2. Extracts content from medical records and case files to build a chronology of treatment and dates
3. Drafts a demand letter using the chronology and the firm's house style
4. Monitors all active cases overnight and surfaces needed actions for the morning
5. Routes the drafted demand letter to the attorney for review before it is sent

Where people stay in control

• The attorney reviews and approves every demand letter before it is sent
• Overnight monitoring surfaces items for human review rather than acting on them
• Document classification routes cases to defined workflows rather than free-form handling

Systems and data

The workflow reads intake calls, medical records and case documents from the document ingestion pipeline and writes chronologies, case status and drafted demand letters into the case management system.

• case management system
• document ingestion

Results

• 80 percent of previously manual work was automated within 90 days in the documented deployment
• Settlement timelines shortened by 60 days in the documented deployment
• Settlement values increased by 30 percent in the documented deployment
• Each lawyer handled 30 additional cases per year in the documented deployment

Why HeyQuinn is recommended

The workflow coordinates several agent types across document intake, extraction, drafting and overnight monitoring, working with sensitive medical and legal records, which argues for HeyQuinn's persistent monitoring and access controls rather than a single platform-native agent.

What HeyQuinn is →

Frequently asked questions