AI-powered legal chatbot that automates case evaluations and answers FAQs, saving 1,000+ support hours for Dolman Law Group.

Dolman AI Chat: Saves $7-8K/mo

Law
5 min read
July 2, 2025
LangChain
OpenAI API
Python
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Client and The Problem

Dolman Law Group, a personal injury law firm, was facing a growing operational bottleneck. Despite offering a detailed FAQ section, their customer support team remained inundated with repetitive inquiries from potential clients. The firm also had to manually handle submissions for 15 different types of legal cases—ranging from car accidents to slip and fall incidents—which involved collecting detailed case data for free evaluations. This not only consumed extensive team resources but also slowed down response times, affecting overall client experience and operational efficiency.

These inefficiencies led to increased workload, slower response times, and bottlenecks in the initial stages of case processing. The support team was stretched thin, and valuable time that could be spent on qualified leads or active cases was being lost to administrative tasks. Dolman Law Group recognized the need for a smarter, more automated approach that could reduce manual effort, improve intake accuracy, and enhance the client experience from the first point of contact.

The Platform:
Built to support law firms like Dolman Law Group, the platform is an AI-powered chatbot solution designed to collect, analyze, and interpret legal case data in real time. It streamlines client intake and addresses high-volume inquiries with precision and speed.

A few of the key features include:

  • Case Likelihood Assessment – Estimates the probability of winning a case based on user input.
  • Compensation Estimator – Provides clients with a projected compensation range.
  • Multi-Type Case Handling – Supports intake for 15+ case categories including auto accidents and personal injury.
  • Automated FAQ Responses – Answers over 200 of the most commonly asked questions instantly.
  • Custom Data Collection Forms – Gathers structured data to aid in free case evaluations.

Timeframe

This build took about 3 months to complete from start to finish. After which our client was able to successfully launch this platform as a SAAS and grew his business, his customer base and his customers' results.