Building a Zero-Hallucination Legal AI: A Multi-Agent Architecture That Actually Works
A technical deep-dive into building production-grade AI for high-stakes domains: tool-mandatory verification, adversarial prompting, and zero-trust architecture for legal research
Written by
Building AI systems for business and enterprise.
I'm an AI Engineer focused on Agentic AI systems — building applications where LLMs do more than chat: they route tasks, use tools, preserve context, verify outputs, and automate real workflows. My strongest work is in: Agentic AI Engineering — multi-agent orchestration, task routing, tool-using systems LLM Engineering — prompt design, grounding, anti-hallucination, fine-tuning AI Product Systems — deployable applications with memory, databases, dashboards, and automation layers I care about building AI systems that are not just impressive in demos, but reliable, verifiable, and useful in real workflows.
Responses
Markdown supported · ⌘↵ to post
No responses yet.