<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fraud-Investigations on LegalRealist AI</title><link>https://legalrealist.ai/tags/fraud-investigations/</link><description>Recent content in Fraud-Investigations on LegalRealist AI</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>hi@legalrealist.ai (LegalRealist AI)</managingEditor><webMaster>hi@legalrealist.ai (LegalRealist AI)</webMaster><copyright>© 2026 LegalRealist AI</copyright><lastBuildDate>Wed, 29 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://legalrealist.ai/tags/fraud-investigations/index.xml" rel="self" type="application/rss+xml"/><item><title>Finding the Needle in the Haystack</title><link>https://legalrealist.ai/posts/14-finding-the-needle-in-the-haystack/</link><pubDate>Wed, 29 Apr 2026 00:00:00 +0000</pubDate><author>hi@legalrealist.ai (LegalRealist AI)</author><guid>https://legalrealist.ai/posts/14-finding-the-needle-in-the-haystack/</guid><description>LLMs ace simple retrieval benchmarks but collapse on the tasks that matter in fraud investigations — finding semantically disguised evidence buried in millions of documents</description></item></channel></rss>