A discussion on Mastodon suggests developing a second AI agent to rigorously review the output of an initial agent, particularly for legal applications. This approach aims to identify systemic errors by leveraging existing databases and tools like grep, drawing parallels to test automation in CI/CD pipelines. The goal is to catch logical flaws and non-existent references, with a nod to a startup already making progress in the LegalTech space. AI
IMPACT Suggests a method for improving AI output reliability in specialized domains like legal tech.
RANK_REASON The item is a social media discussion about potential AI applications in legal tech, rather than a primary source release or significant industry event.
Read on Mastodon — mastodon.social →
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