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Multi-Agent AI LegalTech RAG OCR 2026

Equitas AI

A pioneering autonomous Online Dispute Resolution (ODR) engine developed for a premier US-based arbitration firm. Equitas AI orchestrates a 'Digital Caucus'—a sophisticated multi-agent system comprising specialized Advisor, Shield, and Mediator agents engineered to resolve high-stakes commercial disputes. By integrating advanced RAG (Retrieval-Augmented Generation) pipelines with high-precision document OCR, the platform autonomously parses thousands of pages of legal evidence and contracts to facilitate binding negotiations. This system leverages game-theory-driven logic to minimize litigation overhead and provide a scalable alternative to traditional court-bound arbitration.

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Overview

Equitas AI is a secure, enterprise-grade mediation infrastructure designed to automate the resolution of complex contractual disputes for US-based legal entities.

The Engineering Challenge

The primary challenge was designing a system capable of ‘reasoning’ through ambiguous legal language and conflicting evidence. Traditional LLM implementations lacked the formal logic required for legal mediation. Our solution involved building a proprietary multi-agent orchestration layer where distinct AI agents defend the interests of each party while a central Mediator agent converges on an optimal, legally-sound settlement.

Technical Architecture

  • Autonomous Negotiation Engine: A tripartite agentic workflow utilizing three distinct AI personas—Advisor, Shield, and Mediator—to simulate complex human arbitration.
  • High-Fidelity OCR Pipeline: A custom-engineered document processing layer that extracts and vectorizes structured data from non-standardized legal PDF artifacts with 99.8% accuracy.
  • Contextual RAG Implementation: Leveraging Gemini to provide a real-time, grounded knowledge base of relevant statutes and precedents, ensuring every mediated outcome is backed by established legal frameworks.

Gallery

Visual
Explorations.

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