Traditional AI chatbots fail in legal proceedings as they lack memory and can't manage multi-party context. Court Run solves this with three specialized AI agents acting as Plaintiff, Defendant, and Judge in a simulated trial. Its core innovation is an intelligent context strategy where agents receive tailored information based on the trial phase. Early stages get summaries for focus, cross-examinations get raw messages to detect contradictions, and the verdict phase receives the full transcript. This ensures agents have the precise information needed without overload. The technology's applications extend beyond courtrooms to M&A due diligence, compliance audits, and AI-driven legal simulations. Built with MongoDB Atlas, Voyage AI, and WebSockets, Court Run proves that effective AI collaboration requires intelligent memory and agents that genuinely listen to each other. The platform includes tabs for live simulations and result summaries.
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