LegalSphere

Document Type

Abstract

Publication Date

Spring 5-1-2025

Abstract

LegalSphere is an advanced artificial intelligence agentic framework that automates international legal workflows through a network of specialized agents with persistent memory capabilities. The system implements a hierarchical architecture modelled after traditional law firm organization, with agents engineered for specific legal functions including research, analysis, documentation, and cross-jurisdictional coordination. These agents maintain stateful operation through contextual understanding and long-term conversation memory, enabling complex multi-turn interactions across legal matters. The framework's current scope focuses specifically on International Trade Law as governed by World Trade Organization (WTO) regulations and precedents. Key technical components include: (1) a centralized orchestration backend for routing user queries to appropriate specialized agents and facilitating inter-agent communication protocols, (2) a robust knowledge representation system utilizing either graph database architecture or relational database for storing legal precedents and relationships between cases, and (3) an intuitive user interface enabling document upload, query submission, and visualization of agent reasoning and conclusions.

Comments

Completed as part of the Computer Science Senior Capstone Project.

This document is currently not available here.

Share

COinS