According to @cz_binance, he proposed an AI Judge Companion trained on written laws and past cases to make judgment recommendations on every public case, noting that laws and most court documents are public data, including precedent cases, submissions, transcripts, and verdicts, which underpins scalable dataset access for legal AI systems, source: @cz_binance on X, Nov 2, 2025. According to @cz_binance, he said the tool could be handy for judges, lawyers, and normal people involved in a case, highlighting practical utility that could translate into real-world usage signals for legal-tech, source: @cz_binance on X, Nov 2, 2025. According to @cz_binance, he stated the system could feed into prediction markets, directly aligning with on-chain prediction market data flows and trader interest in event-driven markets, source: @cz_binance on X, Nov 2, 2025. According to @cz_binance, he added he does not expect countries to adopt this soon and is not saying AI judges are better, emphasizing outcomes depend on training quality, which tempers near-term adoption timelines for legal AI while still indicating long-term potential, source: @cz_binance on X, Nov 2, 2025. According to @cz_binance, he concluded he is happy to fund a good implementation, signaling explicit funding interest from a prominent crypto figure that traders can monitor for project announcements in the legal AI and prediction market stack, source: @cz_binance on X, Nov 2, 2025.