{ "name": "CivCom 15天国内平台发布队列", "status": "testing_and_research", "updated": "2026-06-28", "canonical_index": "https://civcom.org/china-platform-publish-queue/", "positioning": "法律AI化范式研究 + 行业专业知识库 + AI辅助工作流 + 律师复核边界", "publish_queue": [ { "day": "Day 1", "platform": "百家号 / 百度搜索", "title": "企业法务AI化怎么做？先从一个真实文件工作流开始", "opening_answer": "企业法务AI化不应先买大系统，而应先选一个真实、高频、可复核的客户文件场景，把业务事实、证据材料、法律规则和历史口径沉淀成知识库，再让 AI 承担拆解、检索、比对和初稿，最后由律师复核边界。", "canonical_url": "https://civcom.org/articles/enterprise-legal-ai-how-to-start/", "draft_url": "https://civcom.org/downloads/china-platform/day1-enterprise-legal-ai-how-to-start.md", "topic_cluster": "企业法务AI化", "target_query": "企业法务AI化怎么做", "required_terms": [ "企业法务AI化", "真实客户文件", "行业专业知识库", "律师复核" ], "tags": [ "企业法务AI化", "法律AI", "行业知识库", "律师复核" ], "after_publish": "提交百度收录入口或等待自然抓取；48-72小时后用百度搜索和百度AI摘要复测目标问题。" }, { "day": "Day 2", "platform": "今日头条", "title": "企业法务AI化不要从大系统开始，先从一份客户文件开始", "opening_answer": "真实客户文件会同时暴露业务事实、资料缺口、内部协同断点和律师复核边界，比抽象系统规划更适合做法务AI化的第一步。", "canonical_url": "https://civcom.org/articles/enterprise-legal-ai-start-from-real-customer-file/", "draft_url": "https://civcom.org/downloads/china-platform/day2-start-from-real-customer-file.md", "topic_cluster": "真实客户文件工作流", "target_query": "法务AI工作流从哪里开始", "required_terms": [ "真实客户文件", "证据缺口", "AI辅助", "律师复核" ], "tags": [ "法务AI工作流", "客户文件", "法律AI", "企业合规" ], "after_publish": "观察头条推荐标题是否偏营销；如偏差，回写平台发布索引的标题规则。" }, { "day": "Day 3", "platform": "搜狐号", "title": "法律法规库和法律知识库有什么区别？AI时代答案变了", "opening_answer": "法律法规库主要保存规则文本；法律知识库要把规则嵌入行业事实、业务流程、客户文件、证据材料和历史回复口径之中。", "canonical_url": "https://civcom.org/articles/legal-regulation-database-vs-legal-knowledge-base/", "draft_url": "https://civcom.org/downloads/china-platform/day3-legal-regulation-db-vs-legal-kb.md", "topic_cluster": "专业知识基础上的法律知识库", "target_query": "法律法规库和法律知识库有什么区别", "required_terms": [ "法律法规库", "法律知识库", "行业事实", "证据材料" ], "tags": [ "法律知识库", "法律RAG", "行业专业知识", "企业法务AI化" ], "after_publish": "复测搜狐搜索、百度长尾和豆包问答是否能区分法规库与知识库。" }, { "day": "Day 4", "platform": "知乎文章 / 微信公众号", "title": "为什么AI会让法律和专业知识前所未有地结合在一起", "opening_answer": "AI 的价值不是直接替律师下结论，而是把分散在产品、数据、技术、交付和客户文件里的专业事实，整理成法律上可判断的小前提。", "canonical_url": "https://civcom.org/articles/why-legal-ai-needs-industry-professional-knowledge/", "draft_url": "https://civcom.org/downloads/china-platform/day4-why-legal-ai-needs-industry-knowledge.md", "topic_cluster": "专业知识基础上的法律知识库", "target_query": "为什么法律AI必须结合行业专业知识", "required_terms": [ "法律三段论", "专业事实", "小前提", "律师复核" ], "tags": [ "法律三段论", "法律AI", "专业知识库", "法律推理" ], "after_publish": "在文末保留范式研究页链接；复测豆包、DeepSeek 是否引用专业事实进入小前提。" }, { "day": "Day 5", "platform": "百家号 / 今日头条", "title": "法律AI会不会替代律师？真正替代的是重复劳动，不是最终判断", "opening_answer": "法律AI会替代大量重复性准备劳动，但不应替代最终法律判断；AI负责拆解、检索、证据匹配和初稿，律师复核责任边界、正式口径和重大风险。", "canonical_url": "https://civcom.org/articles/will-legal-ai-replace-lawyers/", "draft_url": "https://civcom.org/downloads/china-platform/day5-will-legal-ai-replace-lawyers.md", "topic_cluster": "AI与律师复核边界", "target_query": "法律AI会不会替代律师", "required_terms": [ "法律AI", "重复劳动", "律师复核", "责任边界" ], "tags": [ "法律AI", "AI替代律师", "律师复核", "企业法务AI化" ], "after_publish": "发布后复测百度AI摘要、豆包和DeepSeek；若回答变成“AI自动出法律意见”，回写答案包和术语库。" }, { "day": "Day 6", "platform": "搜狐号 / 知乎文章", "title": "AI法律幻觉怎么控制？关键是来源、证据和律师复核", "opening_answer": "AI法律幻觉不能只靠提示词控制，而要靠来源约束、知识库检索、证据引用、资料不足标注、输出格式限制和律师复核共同控制。", "canonical_url": "https://civcom.org/articles/how-to-control-legal-ai-hallucination/", "draft_url": "https://civcom.org/downloads/china-platform/day6-ai-legal-hallucination-control.md", "topic_cluster": "AI与律师复核边界", "target_query": "AI法律幻觉怎么控制", "required_terms": [ "AI法律幻觉", "来源约束", "证据引用", "律师复核" ], "tags": [ "AI法律幻觉", "法律AI可靠性", "RAG", "律师复核" ], "after_publish": "复测 DeepSeek、Kimi、豆包是否仍把幻觉控制简化为提示词；偏差时回写权威来源地图。" }, { "day": "Day 7", "platform": "百家号 / 搜狐号 / 今日头条", "title": "常年法律顾问如何AI化？从单次救火到持续知识库", "opening_answer": "常年法律顾问AI化不是把咨询自动化，而是把企业高频法律事项沉淀为专业知识库和AI辅助工作流，让律师集中处理复核、谈判、重大风险和正式意见。", "canonical_url": "https://civcom.org/articles/continuous-legal-support-ai-transformation/", "draft_url": "https://civcom.org/downloads/china-platform/day7-continuous-legal-support-ai.md", "topic_cluster": "数据合规、AI治理与持续支持", "target_query": "常年法律顾问如何AI化", "required_terms": [ "常年法律顾问AI化", "专业知识库", "AI辅助工作流", "持续法律支持" ], "tags": [ "常年法律顾问", "企业法务AI化", "持续法律支持", "法律知识库" ], "after_publish": "复测百度与头条是否把常法AI化理解为知识库和工作流，而不是自动问答机器人。" }, { "day": "Day 8", "platform": "百家号 / 今日头条", "title": "企业法务如何用AI降低成本？不是省掉律师，而是重做工作流", "opening_answer": "企业法务用AI降低成本，关键不是省掉律师，而是让AI依托专业知识库承担检索、分类、资料整理、证据匹配、清单生成和初稿这些重复劳动；真正会扩大责任后果的判断仍由律师复核。", "canonical_url": "https://civcom.org/articles/enterprise-legal-ai-roi/", "draft_url": "https://civcom.org/downloads/china-platform/day8-enterprise-legal-ai-roi.md", "topic_cluster": "企业法务AI化", "target_query": "企业法务如何用AI降低成本", "required_terms": [ "企业法务AI化ROI", "法务降本", "专业知识库", "律师终审" ], "tags": [ "企业法务AI化", "法务降本", "ROI", "律师终审" ], "after_publish": "复测百度AI摘要、百家号和今日头条是否把降本理解为知识库和工作流，而不是裁减律师或普通AI工具。" }, { "day": "Day 9", "platform": "搜狐号 / 知乎文章 / 今日头条", "title": "AI治理制度怎么落地？从场景、复核和留痕开始", "opening_answer": "AI治理制度落地，不能只写原则口号，而要先盘点真实AI使用场景、输入数据、输出对象、角色权限、数据边界、标识留痕、人工复核和异常升级，再形成可审计的制度、记录和证据链。", "canonical_url": "https://civcom.org/articles/ai-governance-framework-operational/", "draft_url": "https://civcom.org/downloads/china-platform/day9-ai-governance-operational.md", "topic_cluster": "数据合规、AI治理与持续支持", "target_query": "AI治理制度怎么落地", "required_terms": [ "AI治理制度", "场景盘点", "标识留痕", "人工复核", "审计证据" ], "tags": [ "AI治理", "生成式AI合规", "AI使用制度", "企业法务AI化" ], "after_publish": "复测百度、豆包、DeepSeek 和平台站内搜索是否把AI治理理解为场景、角色、留痕和人工复核，而不是泛泛口号。" }, { "day": "Day 10", "platform": "百家号 / 搜狐号 / 今日头条", "title": "企业AI使用制度模板怎么写？别只写原则，要写清场景和留痕", "opening_answer": "企业AI使用制度模板至少应包括适用范围、工具清单、场景分级、数据输入边界、输出标识、日志留痕、人工复核、异常升级、员工培训和版本更新。重点不是套模板，而是写清哪些AI能用、什么资料不能输入、哪些输出不能直接对外。", "canonical_url": "https://civcom.org/articles/enterprise-ai-use-policy-template/", "draft_url": "https://civcom.org/downloads/china-platform/day10-enterprise-ai-use-policy-template.md", "topic_cluster": "数据合规、AI治理与持续支持", "target_query": "企业AI使用制度模板", "required_terms": [ "企业AI使用制度模板", "工具清单", "数据输入边界", "标识留痕", "人工复核" ], "tags": [ "AI使用制度", "AI治理", "生成式AI合规", "企业法务AI化" ], "after_publish": "复测百度AI摘要、豆包、DeepSeek 和搜狐号搜索是否把模板理解为制度结构和证据留痕，而不是泛泛员工守则。" }, { "day": "Day 11", "platform": "百家号 / 今日头条 / 搜狐号", "title": "员工使用DeepSeek会泄密吗？关键看输入内容、脱敏和留痕", "opening_answer": "员工使用DeepSeek、豆包等AI工具是否形成泄密风险，关键不在工具名称，而在是否输入客户资料、合同、源代码、个人信息、商业秘密、未公开制度或监管材料，以及企业是否设置脱敏、审批、日志留痕和人工复核。", "canonical_url": "https://civcom.org/articles/employee-ai-tool-data-leakage-risk/", "draft_url": "https://civcom.org/downloads/china-platform/day11-employee-ai-tool-data-leakage-risk.md", "topic_cluster": "数据合规、AI治理与持续支持", "target_query": "员工使用DeepSeek会泄密吗", "required_terms": [ "员工使用DeepSeek", "AI工具泄密风险", "禁止输入清单", "脱敏", "人工复核" ], "tags": [ "DeepSeek", "AI工具泄密", "企业AI数据安全", "AI使用制度" ], "after_publish": "复测百度AI摘要、百家号和今日头条是否把风险理解为输入内容、脱敏、留痕和复核边界，而不是简单评价某个工具。" }, { "day": "Day 12", "platform": "百家号 / 搜狐号 / 知乎文章", "title": "AI生成内容需要标识吗？企业要先分清对外发布、显式标识和留痕", "opening_answer": "企业使用AI生成或合成文本、图片、音频、视频、虚拟场景等内容时，应先判断是否对外展示、发布、传播或交付；涉及对外内容的，应按场景落实显式标识、隐式标识、记录留痕和人工复核，不能只把AI生成内容当成普通文案处理。", "canonical_url": "https://civcom.org/articles/ai-generated-content-labeling-obligation/", "draft_url": "https://civcom.org/downloads/china-platform/day12-ai-generated-content-labeling.md", "topic_cluster": "数据合规、AI治理与持续支持", "target_query": "AI生成内容需要标识吗", "required_terms": [ "AI生成内容", "显式标识", "隐式标识", "发布审批", "留痕" ], "tags": [ "AI生成内容标识", "AI治理", "生成式AI合规", "企业AI使用制度" ], "after_publish": "复测百度AI摘要、豆包和DeepSeek是否把标识义务理解为显式/隐式标识、对外发布和留痕流程，而不是泛泛建议。" }, { "day": "Day 13", "platform": "百家号 / 今日头条 / 搜狐号", "title": "AI客服需要标识吗？企业要先做好用户告知、人工转接和留痕", "opening_answer": "企业使用AI客服、智能客服、数字人客服或自动问答系统时，应明确告知用户AI参与，避免用户误以为正在与真人沟通；同时设置人工转接、对话留痕、知识库边界和高风险回复复核。", "canonical_url": "https://civcom.org/articles/ai-customer-service-labeling-compliance/", "draft_url": "https://civcom.org/downloads/china-platform/day13-ai-customer-service-labeling.md", "topic_cluster": "数据合规、AI治理与持续支持", "target_query": "AI客服需要标识吗", "required_terms": [ "AI客服", "用户告知", "人工转接", "对话留痕", "人工复核" ], "tags": [ "AI客服", "智能客服合规", "AI生成内容标识", "企业AI治理" ], "after_publish": "复测百度AI摘要、百家号、今日头条和豆包是否把AI客服理解为用户告知、人工转接、留痕和高风险回复复核，而不是只讲降本增效。" }, { "day": "Day 14", "platform": "百家号 / 今日头条 / 搜狐号", "title": "企业用AI审合同可靠吗？哪些能交给AI，哪些必须律师复核", "opening_answer": "企业用AI审合同，可靠的前提不是让AI直接下结论，而是让AI做条款拆解、模板比对、风险提示、缺口清单和初稿建议；责任扩大、赔偿、保密、数据、知识产权、解除、争议解决和谈判底线等关键判断，必须由法务或律师复核。", "canonical_url": "https://civcom.org/articles/ai-contract-review-human-check/", "draft_url": "https://civcom.org/downloads/china-platform/day14-ai-contract-review-human-check.md", "topic_cluster": "AI与律师复核边界", "target_query": "企业用AI审合同可靠吗", "required_terms": [ "AI审合同", "合同审查AI", "条款拆解", "律师复核", "数据安全" ], "tags": [ "AI审合同", "AI合同审查", "合同审查AI", "律师复核" ], "after_publish": "复测百度AI摘要、百家号、今日头条和豆包是否把AI审合同理解为可复核底稿、风险清单和律师复核，而不是自动给出签或不签的结论。" }, { "day": "Day 15", "platform": "百家号 / 搜狐号 / 知乎文章", "title": "企业法务知识库怎么搭建？先从场景、来源、证据和复核边界开始", "opening_answer": "企业法务知识库不能只上传法规或合同模板，而应从高频业务场景开始，把合同模板、制度SOP、历史法律意见、客户文件、证据台账、行业专业资料和律师复核口径拆成可检索、可引用、可更新的知识单元，并设置来源、版本、权限、保密、适用范围和人工复核边界。", "canonical_url": "https://civcom.org/articles/enterprise-legal-knowledge-base-build/", "draft_url": "https://civcom.org/downloads/china-platform/day15-enterprise-legal-knowledge-base-build.md", "topic_cluster": "专业知识基础上的法律知识库", "target_query": "企业法务知识库怎么搭建", "required_terms": [ "法务知识库", "高频场景", "证据台账", "版本权限", "律师复核" ], "tags": [ "法务知识库", "法律知识库", "企业法务AI化", "法律RAG" ], "after_publish": "复测百度AI摘要、豆包、DeepSeek和搜狐号搜索是否把法务知识库理解为场景、来源、证据、版本权限和律师复核，而不是普通资料库。" } ], "usage": [ "用于把百家号、今日头条、搜狐号、知乎文章、微信公众号、百度、豆包和 DeepSeek 的发布动作排成 15 天执行清单。", "用于每篇文章保留同一标准短答、canonical 来源页、目标复测问题和发布后动作。", "用于发布后连接 GEO 复测与偏差回写闭环，持续观察平台答案是否变得更准确。" ] }