New Tool Catches AI Hallucinations In Legal Briefs - Above the Law
<a href="https://news.google.com/rss/articles/CBMiiwFBVV95cUxQRTRQaWxiSTZVSkxhT0Q2WDNKeko1cVRvOF9iYlZ4UlM0ZFVLSXJIMkszSmJjSlJoZmlIX3hCRklsWFZrNGUydkFseE5fdzFjMlA2RXhHQm5xMTJQQ0RaeGNIeFBNSU9JV3hfbU51UDUwWDlSX0hwanloelFTeWF1MnFGazQzenE3OUc4?oc=5" target="_blank">New Tool Catches AI Hallucinations In Legal Briefs</a> <font color="#6f6f6f">Above the Law</font>
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Read on Google News - AI hallucination accuracy →Google News - AI hallucination accuracy
https://news.google.com/rss/articles/CBMiiwFBVV95cUxQRTRQaWxiSTZVSkxhT0Q2WDNKeko1cVRvOF9iYlZ4UlM0ZFVLSXJIMkszSmJjSlJoZmlIX3hCRklsWFZrNGUydkFseE5fdzFjMlA2RXhHQm5xMTJQQ0RaeGNIeFBNSU9JV3hfbU51UDUwWDlSX0hwanloelFTeWF1MnFGazQzenE3OUc4?oc=5Sign in to highlight and annotate this article
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Show HN: Semantic atlas of 188 constitutions in 3D (30k articles, embeddings)
I built this after noticing that existing tools for comparing constitutional law either have steep learning curves or only support keyword search. By combining Gemini embeddings with UMAP projection, you can navigate 30,828 constitutional articles from 188 countries in 3D and find conceptually related provisions even when the wording differs. Feedback welcome, especially from legal researchers or comparative law folks. Source and pipeline: github.com/joaoli13/constitutional-map-ai Comments URL: https://news.ycombinator.com/item?id=47609372 Points: 4 # Comments: 0
Legal AI Startup Legora Hits a Major Revenue Milestone - Business Insider
<a href="https://news.google.com/rss/articles/CBMiiwFBVV95cUxNZ1N6ZGwyM1B0bFZZZlFIeUdMTktpRFFSTFhnbndFdFowV0l0V20zMTJLajNRRVEwSHd5OXBSWGsxT2pkcjlBa2Q1aE44SEV0V0phS2tqanNNT25JYlduOVM5MTNnTnhOSWdPejhYczBaUzJrX01zRGVLTUxOWHZzOTEyNXlsWFRmR2RN?oc=5" target="_blank">Legal AI Startup Legora Hits a Major Revenue Milestone</a> <font color="#6f6f6f">Business Insider</font>
STCALIR: Semi-Synthetic Test Collection for Algerian Legal Information Retrieval
arXiv:2604.00731v1 Announce Type: new Abstract: Test collections are essential for evaluating retrieval and re-ranking models. However, constructing such collections is challenging due to the high cost of manual annotation, particularly in specialized domains like Algerian legal texts, where high-quality corpora and relevance judgments are scarce. To address this limitation, we propose STCALIR, a framework for generating semi-synthetic test collections directly from raw legal documents. The pipeline follows the Cranfield paradigm, maintaining its core components of topics, corpus, and relevance judgments, while significantly reducing manual effort through automated multi-stage retrieval and filtering, achieving a 99% reduction in annotation workload. We validate STCALIR using the Mr. TyDi
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Pennsylvania Lawmakers Are Talking the Talk on Data Center Regulations. But Will They Walk? - Inside Climate News
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Singapore targets four industries for AI transformation, but experts say workforce readiness a key hurdle - CNA
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Show HN: Semantic atlas of 188 constitutions in 3D (30k articles, embeddings)
I built this after noticing that existing tools for comparing constitutional law either have steep learning curves or only support keyword search. By combining Gemini embeddings with UMAP projection, you can navigate 30,828 constitutional articles from 188 countries in 3D and find conceptually related provisions even when the wording differs. Feedback welcome, especially from legal researchers or comparative law folks. Source and pipeline: github.com/joaoli13/constitutional-map-ai Comments URL: https://news.ycombinator.com/item?id=47609372 Points: 4 # Comments: 0
EU prioritizes AI regulation and frameworks, despite Omnibus delays - Compliance Week
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