<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Legal-Ai on Noureddine RAMDI</title><link>https://ramdi.fr/tags/legal-ai/</link><description>Recent content in Legal-Ai on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/legal-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Harvey LAB: Benchmarking legal LLM agents with realistic tasks and automated scoring</title><link>https://ramdi.fr/github-stars/harvey-lab-benchmarking-legal-llm-agents-with-realistic-tasks-and-automated-scoring/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/harvey-lab-benchmarking-legal-llm-agents-with-realistic-tasks-and-automated-scoring/</guid><description>Harvey LAB offers an open-source benchmark for evaluating LLM agents on realistic legal tasks using an all-pass rubric and LLM-as-judge scoring. It includes datasets, adapters, and dashboards.</description></item></channel></rss>