{"id":23189,"date":"2026-04-14T17:51:33","date_gmt":"2026-04-14T17:51:33","guid":{"rendered":"https:\/\/nationalgunowner.org\/index.php\/2026\/04\/14\/your-ai-lawyer-might-be-lying-to-your-face\/"},"modified":"2026-04-14T17:51:33","modified_gmt":"2026-04-14T17:51:33","slug":"your-ai-lawyer-might-be-lying-to-your-face","status":"publish","type":"post","link":"https:\/\/nationalgunowner.org\/index.php\/2026\/04\/14\/your-ai-lawyer-might-be-lying-to-your-face\/","title":{"rendered":"Your \u2018AI Lawyer\u2019 Might Be Lying To Your Face"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div style=\"position:relative\" data-narration-container=\"true\">\n<p style=\"font-weight:400\">If you\u2019ve ever used artificial intelligence to help with your work, you know it can sometimes be a \u201cconfident liar.\u201d In the legal world, where one wrong fact can ruin a person\u2019s life, companies promised they had fixed this problem with a new technology called\u00a0RAG.<\/p>\n<p style=\"font-weight:400\" data-path-to-node=\"2\">But according to a <a href=\"https:\/\/dho.stanford.edu\/wp-content\/uploads\/Legal_RAG_Hallucinations.pdf\" target=\"_blank\" rel=\"noopener\">new study<\/a> from researchers at Stanford and Yale, those promises might be more science fiction than science fact.<\/p>\n<blockquote class=\"twitter-tweet\" data-width=\"500\" data-dnt=\"true\">\n<p lang=\"en\" dir=\"ltr\">RAG is broken and nobody&#8217;s talking about it.<\/p>\n<p>Stanford researchers exposed the fatal flaw killing every &#8220;AI that reads your docs&#8221; product in existence.<\/p>\n<p>It\u2019s called &#8220;Semantic Collapse,&#8221; and it happens the second your knowledge base hits critical mass. If you&#8217;ve noticed your AI\u2026 <a href=\"https:\/\/t.co\/sz4zbtnxpC\" target=\"_blank\" rel=\"noopener\">pic.twitter.com\/sz4zbtnxpC<\/a><\/p>\n<p>\u2014 How To AI (@HowToAI_) <a href=\"https:\/\/twitter.com\/HowToAI_\/status\/2043713987171492224?ref_src=twsrc%5Etfw\" target=\"_blank\" rel=\"noopener\">April 13, 2026<\/a><\/p>\n<\/blockquote>\n<p style=\"font-weight:400\">Standard AI, like the basic version of ChatGPT, is \u201cclosed-book\u201d \u2014 it tries to answer questions from memory. RAG (Retrieval-Augmented Generation) was supposed to be the \u201copen-book\u201d version. It\u2019s designed to look at a specific pile of legal documents first and then summarize them so it doesn\u2019t make things up.<\/p>\n<p style=\"font-weight:400\" data-path-to-node=\"5\">The problem? The \u201cbook\u201d has become too big.<\/p>\n<p style=\"font-weight:400\" data-path-to-node=\"6\">Researchers found that when an AI\u2019s library hits a certain size (around 10,000 documents), a glitch called\u00a0\u201cSemantic Collapse\u201d\u00a0happens. Imagine a library where the librarian is so overwhelmed that they can no longer tell the difference between a serious history book and a comic book because they both have \u201cWashington\u201d in the title. Mathematically, the AI starts seeing every document as \u201crelevant,\u201d leading it to give answers that sound professional but are totally wrong.<\/p>\n<p style=\"font-weight:400\">The study tested top-tier legal AI tools used by real lawyers, including Lexis+ AI and Westlaw. Even though these tools are marketed as \u201challucination-free,\u201d the researchers found they messed up\u00a017% to 33% of the time.<\/p>\n<p style=\"font-weight:400\" data-path-to-node=\"9\">Some of the AI\u2019s failures included:<\/p>\n<ul>\n<li data-path-to-node=\"10,0,0\">Reversing Reality: Citing a case but claiming the judge said \u201cYes\u201d when they actually said \u201cNo.\u201d<\/li>\n<li data-path-to-node=\"10,1,0\">Inventing Laws: Writing out entire paragraphs of legal rules that don\u2019t actually exist.<\/li>\n<li data-path-to-node=\"10,2,0\">Breaking the Chain of Command: Claiming a small local court \u201coverruled\u201d the U.S. Supreme Court \u2014 which is basically impossible in the U.S. legal system.<\/li>\n<\/ul>\n<p style=\"font-weight:400\">The researchers say law is a \u201cfinal boss\u201d for AI because it\u2019s not just about matching keywords. It\u2019s about \u201cvibes\u201d and hierarchy.<\/p>\n<p style=\"font-weight:400\" data-path-to-node=\"13\">For example, if you ask about a \u201ccar crash,\u201d the AI might find a document about \u201ccars\u201d in a tax law book. A human knows that\u2019s the wrong kind of law, but the AI just sees the word \u201ccar\u201d and thinks it\u2019s helping. The AI also suffers from \u201csycophancy\u201d \u2014 a fancy word for being a \u201cyes-man.\u201d If a user asks a question with a wrong assumption, the AI often just agrees with them instead of correcting them.<\/p>\n<p style=\"font-weight:400\">You might not be a lawyer, but this affects how we trust technology. Right now, lawyers are required by ethical rules to double-check everything an AI tells them. If they don\u2019t, they could face huge fines or lose their licenses.<\/p>\n<p style=\"font-weight:400\" data-path-to-node=\"16\">The study warns that we shouldn\u2019t believe the \u201cAI washing\u201d \u2014 when companies claim their tech is perfect just to sell more subscriptions. The researchers conclude that while AI is a great tool for a \u201cfirst draft,\u201d it is nowhere near ready to be the final word in a courtroom.<\/p>\n<p style=\"font-weight:400\" data-path-to-node=\"17\">For now, the \u201challucination-free\u201d AI lawyer is a myth. If you\u2019re heading to court, you\u2019d better hope your lawyer is still doing their own reading.<\/p>\n<\/div>\n<p><script async src=\"\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><br \/>\n<br \/><br \/>\n<br \/><a href=\"https:\/\/www.dailywire.com\/news\/your-ai-lawyer-might-be-lying-to-your-face\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you\u2019ve ever used artificial intelligence to help with your work, you know it can sometimes be a \u201cconfident liar.\u201d In the legal world, where one wrong fact can ruin a person\u2019s life, companies promised they had fixed this problem with a new technology called\u00a0RAG. But according to a new study from researchers at Stanford [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":23190,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"tdm_status":"","tdm_grid_status":"","footnotes":""},"categories":[14],"tags":[],"class_list":{"0":"post-23189","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-current-news"},"_links":{"self":[{"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/posts\/23189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/comments?post=23189"}],"version-history":[{"count":0,"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/posts\/23189\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/media\/23190"}],"wp:attachment":[{"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/media?parent=23189"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/categories?post=23189"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nationalgunowner.org\/index.php\/wp-json\/wp\/v2\/tags?post=23189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}