Skip to Main Content

AURA (Argument Unit Relational Analyzer) A multi-agent legal intelligence system that solves context loss in legal workflows. Three specialized agents collaborate through shared MongoDB memory: ResearchAgent identifies relevant case precedents, AnalysisAgent evaluates argument strength using those precedents, and DraftingAgent synthesizes everything into legal briefs. The key innovation is agent-to-agent context handoff. Each agent reads what the previous one wrote, adds its layer of analysis, and passes enriched context forward. No duplication, no re-research. The system structures legal knowledge as interconnected layers - foundation (precedents), strategic (analysis), and synthesis (draft) - all traceable through a visual Evidence Chain.

Team

Placement

Participant

More from Agentic Memory & Context Engineering Hackathon

Our tool helps patients with dementia by surfacing real-time context on the person they are talking to.

ForgetMeNot project preview

- ContextScope Eval is an open-source evaluation and observability framework for agent-to-agent context sharing. It measures how effectively autonomous agents…

screen.studio/…

Ever struggled to find that perfect article you read last week? That tutorial video you can't quite remember the name of? WebBrain transforms your browser…

WebBrain project preview

The Airbnb Travel Booking Assistant is a personalized AI concierge that curates stays based on each traveler’s unique style and past experiences. Instead of…

Travel assistant (Airbnb) project preview

KitchenPal is an AI-powered cooking assistant that leverages multiple independent Retrieval-Augmented Generation (RAG) workflows to provide personalized…

KitchenPal project preview

Incident Copilot is a seeded-RAG assistant for on-call engineers. It uses MongoDB Atlas Vector Search, Voyage embeddings with reranking, and Google Gemini to…

MonGOD project preview