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谷歌杀入法律 AI 赛道，推出专用 Gemini 工具
谷歌携Gemini下场法律AI赛道，巨头加码垂直应用，律师行业智能化拐点将至
IT之家 8 月 26 日消息，Alphabet 旗下谷歌周二扩展了其 Gemini Enterprise 人工智能平台，推出面向律师和律所的新工具，进一步加剧了科技公司争夺法律行业 AI 需求的竞争。 谷歌表示，Gemini Enterprise for Legal 将帮助律所利用 AI 处理日常…
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Can Legal AI Know When It Is Wrong? And Do Students Know When It Is?
法律AI也会“迷之自信”？研究揭示大模型在司法判断中的过度自信陷阱，比你以为的更危险。
arXiv:2608.21089v1 Announce Type: new Abstract: Integrating Large Language Models (LLMs) into the Indian judiciary promises access to justice but intr…
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OpenAI 投资的美国 AI 公司转用中国开源模型，基于 Kimi K3 打造专属法律 AI 模型
OpenAI 投资的美国法律 AI 巨头 Harvey，竟基于中国开源模型 Kimi K3 打造专属大模型，开放权重价值凸显。
IT之家 8 月 23 日消息，据南华早报报道，一家获得 OpenAI 投资的美国人工智能初创公司，基于中国 AI 实验室月之暗面（Moonshot AI）的 Kimi K3 构建了自己的首个内部模型。这凸显出，随着 AI 模型开发成本不断飙升，越来越多西方科技公司开始转向采用中国的开放权重模型。 …
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Can LLMs Reason in a Legally Meaningful Manner? A Small-scale Study on European Court of Human Rights Cases
实测大模型在法律预测中的推理能力，用欧洲人权法院案例揭示AI与法律逻辑的碰撞，值得法律科技从业者一读。
arXiv:2608.17168v1 Announce Type: cross Abstract: Reasoning has become a standard technique and feature for contemporary LLMs; however, its applicatio…
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When Do LLMs Apply the Wrong Law? Diagnosing LLM Failures in Temporal Legal Reasoning
揭秘大模型何时适用错误法律条款，系统诊断时间维度上的法律推理短板，对法律AI应用很有参考价值。
arXiv:2608.14610v1 Announce Type: new Abstract: Legal reasoning tasks such as legal judgment prediction (LJP) require identifying the temporally corre…
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LexKairos: Benchmarking Legal Temporal Capabilities in LLMs
首个针对法律领域大模型时间推理能力的基准测试，填补评测空白
arXiv:2608.09106v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong performance across a wide range of legal tasks. …
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ComplianceAgent: Open-source EU AI Act compliance scanner
一键扫描你的AI项目是否符合欧盟AI法案合规要求，开源免费5秒出结果
Article URL: https://github.com/latreon/compliance-agent Comments URL: https://news.ycombinator.com/item?id=48793704 Points: 1 # Comments: 0
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Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI
把数学AI的“LLM提案、验证器把关”范式搬进法律领域，用形式化验证打造可验证的奖励信号，法律AI自改进的新路子。
arXiv:2606.23913v1 Announce Type: new Abstract: This article develops an architecture that creates a formally verifiable reward signal to train legal …
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LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI
法律AI的幻觉问题有新解！提出类型化幻觉审计与校准多智能体辩论框架，为可信法律AI提供可量化评估方法。
arXiv:2606.18021v1 Announce Type: new Abstract: AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, but…
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NeuroSymbolic AI for Legal AI-TRISM: Trustworthy, Reliable, Interpretable, Safe Models
神经符号AI破解法律AI黑箱，打造可信、可解释的智能模型。
arXiv:2606.15646v1 Announce Type: new Abstract: Large Language Models (LLMs) have transformed natural language processing, but their lack of interpret…
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Civil Court Simulation with Large Language Models
用大语言模型模拟民事法庭审判，AI辅助司法系统迈向新可能。
arXiv:2606.09632v1 Announce Type: new Abstract: Court simulation bridges legal education and judicial practice, yet human-based simulations are costly…
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LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks
为开放法律任务设计的评分标准引导诊断基准，提升法律AI系统评估的可靠性和可解释性。
arXiv:2606.09389v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly applied to real-world legal tasks, evaluating the rel…
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Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
论文探讨人类与AI在识别合成法律证据上的可信度差异，揭示AI检测的挑战与局限。
arXiv:2606.07613v1 Announce Type: new Abstract: Visual evidence has long been treated as a reliable form of legal proof, but advances in artificial in…
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Show HN: Open-source, local-first legal AI workspace for lawyers
开源且本地优先的法律AI工作空间，律师可以安全高效地处理文档与案件。
Article URL: https://github.com/rohasnagpal/AI-Blueprint Comments URL: https://news.ycombinator.com/item?id=48457883 Points: 2 # Comments: 0
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Parthenon Law: A Self-Evolving Legal-Agent Framework
法律AI代理新框架，自我进化解决端到端法律事务的三大障碍。
arXiv:2606.04602v1 Announce Type: new Abstract: As agents grow more capable, legal-domain LLM agents promise to turn document-heavy matters into revie…
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Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs
用法律引用图检测和减少大模型编造法律条文的问题，提升AI可信度。
arXiv:2606.00898v1 Announce Type: new Abstract: Large language models systematically hallucinate legal citations -- fabricating statute references, ci…
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Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoning
法律AI可信度研究新突破，提出相关性敏感评估与求解器推理结合的评估框架。
arXiv:2605.26530v1 Announce Type: new Abstract: Legal reasoning requires distinguishing changes that matter from those that do not. Legal AI should re…
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Maat: The Agentic Legal Research Assistant for Competition Protection
专为竞争保护打造的法律AI研究助手，能智能检索与分析法规，效率惊人！
arXiv:2605.27331v1 Announce Type: new Abstract: Competition law experts conducting legal research must review extensive volumes of cases, decisions, a…
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Orchestration problems hurt legal AI
揭示法律AI的核心困境——编排问题如何拖累应用，法律科技从业者必看。
Article URL: https://lexifina.com/blog/legal-ontologies-for-ai Comments URL: https://news.ycombinator.com/item?id=48256327 Points: 1 # Comments: 0
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Fine-grained Claim-level RAG Benchmark for Law
面向法律领域的细粒度声明级RAG基准，评估模型事实检索与推理能力的新方法。
arXiv:2605.21071v1 Announce Type: new Abstract: The rapid progress of large language models (LLMs) is shifting semantic search toward a question-answe…