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Legal Research in Real Time, With 80% Less Time Spent Searching
A legal technology company needed to make massive case files usable without compromising the security standards of legal and compliance work. The DORIAN Group built a multi-LLM research platform that delivered contextual answers in real time, cutting research time by more than 80% across 50+ legal firms.
Client
Confidential
Services
Agentic AI
On This Page
The Challenge
Our Approach
The Outcome
The Challenge
Legal research does not scale gracefully. Case files are massive, the right insight depends on the role asking for it, and every hour spent combing through documents is an hour not spent advancing the case.
The company wanted a platform that could change that balance. It had to analyze full case files in real time, tailor answers for different legal roles, and meet the strict data security requirements of legal and compliance work. The product also needed to support those demands as usage grew across firms and cases.
Our Approach
Build A Complete Research Product
The DORIAN Group’s eight-developer team built the product ecosystem over ten months. The foundation combined a multi-LLM architecture, a conversational interface, and a compliance-check engine rather than treating research assistance as a standalone chat feature.
Route Each Question To The Right Model
An intelligent routing layer connected GPT, Claude, and Gemini, sending each request to the model best suited to it. This multi-model approach supported more contextual responses across different research needs.
Design For Legal Workflows And Trust
Persona-based chat let users work from Judge, Lawyer, or Co-Counsel perspectives. Real-time case-file analysis, enterprise-grade security, compliance checks, and scalable API endpoints made the platform practical for legal teams working with sensitive material.
Technology: React, Node.js, Python, MongoDB, GPT, Claude, Gemini, AWS, and enterprise security infrastructure.
Build
Built a complete product ecosystem with multi-LLM architecture, conversational research, and a compliance-check engine.
Route
Added an intelligent routing layer that sent each request to GPT, Claude, or Gemini.
Ship
Delivered the platform in ten months with enterprise-grade security and scalable API endpoints.
The Outcome
Manual research time dropped by more than 80%, and document insight accuracy reached 95%. Lawyers could interact with massive case files in real time instead of reading them front to back.
The platform serves legal professionals across 50+ firms and has processed more than 10,000 cases on enterprise-grade security and scalable API endpoints.
They delivered an AI platform that has revolutionized how we handle legal research. The multi-LLM approach provides incredibly accurate and contextual insights that have transformed our workflow.
Senior Partner