Orchestration of AI Agents in Law: Building Case Triage and Summarization Workflows without Losing Human Validation
A inteligência artificial no setor jurídico ultrapassou a fase dos chatbots genéricos de pergunta e resposta. Quando lidamos com o Direito, o custo de uma "alucinação" de IA não é apenas um incômodo — pode significar a perda de um prazo fatal, uma tese fundamentada em jurisprudência inexistente ou a violação de sigilo. Para resolver esse problema, a engenharia de software aplicada a LegalTechs…
The use of artificial intelligence in the legal sector has evolved beyond generic chatbots, with the development of Agentic AI Workflows, which utilize multiple specialized agents to solve complex problems. These workflows are being used to streamline tasks such as triage, vector search, and summarization of legal documents. The architecture involves dividing tasks among multiple agents, each with a specific scope and objective, and using asynchronous orchestration to ensure resilience.
The process also involves human oversight, with lawyers reviewing and validating the output of the AI agents to ensure accuracy and quality. This approach aims to accelerate intellectual production while maintaining the security and quality of legal work.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
