Case Study

AI Agent Reduces Bureaucracy: Accelerating Disability Approval for Thousands

90% accuracy

Handles complex medical documents with nuanced terminology, minimizing false alerts.

<5 min/case

3-8 hours for manual data processing and visualization from multiple sources

100% compliance

Guarantees adherence to all state regulations, including dynamic policy updates.

Services provided

Developed an AI agent

Implemented cloud infrastructure

Integrated with gov.agencies through APIs

About the Project

Client

Law firm

Industry

Law practice

Location

USA

Company Size

50+ employees

Duration

Jan 2025 - Present

Our client is a legal firm specializing in assisting U.S.-based clients with disability claims. Their social mission is to dismantle bureaucratic barriers and protect the rights of individuals with disabilities who are often overlooked by state authorities.

The firm provides end-to-end support to clients, including medical evaluations across multiple providers, meticulous document collection, and seamless submission of claims to government agencies.

Challenges

~60

hours per week

a private equity agent spends for market research and networking

/01

Manual Case Processing

Attorneys spent considerable time reviewing documents to ensure compliance with state requirements. Each case could involve hundreds of pages of medical records that needed thorough examination.

/02

Risk of Errors

Variations in state legislation complicated the accuracy of compliance checks. For example, one state requires a specific type of medical examination while another state does not.

/03

Increasing Workload

The number of clients was growing, however, the firm lacked enough experts to manually process multiplying cases without compromising quality.

We need to scale: process hundreds of cases monthly, automatically identify document gaps, and inform clients about next steps without delays.

CEO of the Law firm

Solution

/01

Automated Medical Document Analysis

The system scans PDF files, extracting key data: dates of examinations, doctors' names, diagnoses, and lab results.

It uses LLM (OpenAI) to understand text, images and extract structured information.

/02

State Compliance 
Verification

A built-in database of rules for each state allows the system to compare document data with legal requirements.

/03

Consolidated Report Generation

After analysis, the system creates a PDF report containing:

A list of completed steps (e.g., 3/5 required doctors visited)

A list of missing documents or actions

A visually convenient timeline of medical events.

/04

Autonomous Execution

Using LangGraph and LangChain, the agent creates dynamic workflows.

If document requirements change, the system automatically updates checks without developer intervention.

/05

Integration with Existing Processes

The system operates on a PDF-in, PDF-out principle: the client uploads documents and receives a ready-made report.

This allows seamless integration of an AI agent into the lawyers' current workflows.

Technologies

Langchain

LangGraph

AWS

PostgreSQL

FastAPI

OpenAI

Business Value

The artificial intelligence agent was designed in accordance with our client's core mission: democratizing access to legal support for clients with disabilities while addressing operational bottlenecks. Here’s how it transformed their core processes:

Fast Legal Help