AI Legal Compliance

AI 合规不是未来
而是今天的现实 AI Compliance Isn't Tomorrow
It's Your Reality Today

AI 立法正以前所未有的速度铺开——美国各州 AI 法案、欧盟 AI Act 的强制性要求、联邦部门的执法行动都在 2026 年变得具体而紧迫。帮你梳理 AI 产品的合规风险，从产品分类、法律义务、到采购与合作协议谈判——把监管不确定性转化为清晰的行动方案。 AI regulation is moving fast — and it's enforceable now. State AI laws, EU AI Act compliance deadlines, federal agency enforcement actions are all concrete in 2026. We help you map AI product compliance risk, identify legal obligations, and negotiate AI vendor agreements — turning regulatory uncertainty into a clear action plan.

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你正在经历的What You're Facing

常见的三个 AI 合规误区
都会为你带来风险 Three AI Compliance Misconceptions
That Expose You to Risk

大多数 AI 初创公司和科技团队在合规上都在犯同样的错误——不是恶意的，而是对监管现状的误解。下面是我们最常听到的三个。 Most AI startups and tech teams make the same compliance mistakes — not malicious, just misunderstanding the regulatory landscape. Here are the three we hear most.

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"我只是调 API，不算 AI 公司" "I'm Just Calling an API,
Not an AI Company"
错。如果你的产品用 AI 模型做决策——无论这个模型来自 OpenAI、Anthropic 还是本地部署——你就落在了美国各州 AI 法案的规制范围内。Colorado SB 205、California AB 2013、EU AI Act 都不在乎你的模型是自己训练的还是用别人的 API。它们关心的是：你的系统有没有做出可能影响个人权利和利益的决策？如果有，你需要提供透明度、可解释性、甚至测试和文档。美国消费者保护委员会 (FTC) 已经对 AI 不合规的厂商进行了执法——包括对 API 调用的产品。 Wrong. If your product makes decisions using an AI model — whether it's from OpenAI, Anthropic, or locally deployed — you fall under state AI law scope. Colorado SB 205, California AB 2013, EU AI Act don't care if the model is yours or an API. They care about this: Does your system make decisions that could affect someone's rights or interests? If yes, you owe transparency, explainability, testing, documentation. The FTC has already enforced against AI-using companies — including those using APIs. Liability exposure is real.
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"合规是大公司的事，小公司等等再说" "Compliance Is for Big Companies.
We Can Wait."
这个想法曾经有点道理，但在 2026 年已经过时了。第一个给你砸律师信的不会是大企业，而是竞争对手、不满的客户、或者州检察官办公室。一旦被起诉或收到合规警告，你的融资尽调就会卡住、投资者会跑、团队士气会崩溃。更糟的是，小公司的合规成本往往比大公司高——因为你没有成熟的法律和合规部门。现在投入几千到几万块钱做 AI 合规审查，远比被起诉后花几十万块钱打官司便宜。 This would have been somewhat defensible before 2026. But that logic is dead now. Your first legal threat won't come from a Fortune 500 — it'll come from a competitor, unhappy customer, or state attorney general. Once sued or warned, your fundraising DD stalls, investors flee, team morale tanks. Worse: compliance costs for small startups are often higher per-person because you don't have mature legal/compliance teams. Investing a few thousand to tens of thousands now on an AI compliance audit costs far less than fighting a lawsuit later for hundreds of thousands.
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"法律还在变，等稳定了再改" "AI Laws Keep Changing.
Let's Wait Until They Settle."
这是最危险的想法。是的，AI 法律在演变——但不是"法律都还没定"，而是"已经有具体、可执行的法律在生效"。Colorado SB 205（2025 年生效）、California AB 2013（2025 年生效）、EU AI Act（分阶段自 2024 年起生效）都不是"草案"，都是真实的法律，都有真实的罚款和民事诉讼。等"法律稳定"的人，实际上是在积累非合规的风险。更明智的做法是：现在就根据今天的法律建立合规框架，然后随着法律演变而灵活调整。我们帮你把今年的法律变化翻译成明确的行动项，而不是等到法律"完全成熟"。 This is the most dangerous misconception. Yes, AI law is evolving — but it's not "laws don't exist yet," it's "enforceable laws are already in effect." Colorado SB 205 (in effect 2025), California AB 2013 (in effect 2025), EU AI Act (phasing in from 2024) aren't drafts — they're real law with real penalties and private lawsuits. Waiting for "legal stability" means accumulating non-compliance risk. The smarter play: build your compliance framework now based on today's laws, then flex as the laws evolve. We translate this year's regulatory changes into clear action items — you don't wait for "legal perfection."
监管现状The Regulatory Landscape

这些法律已经生效 These Laws Are Already Enforceable

不是"即将生效"，不是"正在考虑"——这些都是真实的、对你的业务有直接影响的法律规定。 Not "coming soon" — not "under consideration" — these are real, enforceable laws with direct impact on your business.

法律Law
适用范围Scope
核心要求Core Obligation
你是否受影响？Does It Apply to You?
Colorado SB 205
Effective 2026
任何使用算法决策系统影响消费者的公司Any company using algorithms to make decisions affecting consumers
透明度披露、影响评估、人类复审、投诉机制Transparency disclosures, impact assessments, human review, grievance mechanisms
极可能。如果你的 AI 做出信用/就业/医疗决策，必须合规。Very likely. If your AI makes credit/employment/medical decisions, you must comply.
California AB 2013
Effective 2026
加州消费者在线信息处理的自动决策系统Automated decision systems processing CA consumer data
人工审查选项、影响评估、审计权、数据安全Manual review option, impact assessments, audit rights, data security
如果你有加州用户，几乎肯定受影响。If you have CA users, almost certainly applies to you.
EU AI Act
Phase-in 2024-2026
高风险 AI 系统（生物识别、信贷评估、教育、就业等）High-risk AI systems (biometric, credit, education, employment)
风险评估、质量管理、文档、人工监督、符合性声明Risk assessments, quality mgmt, documentation, human oversight, conformity statements
如果你向欧洲用户提供"高风险"AI，必须遵守。If you deploy "high-risk" AI to EU users, compliance is mandatory.
FTC AI Guidelines
Enforceable Now
美国所有使用 AI 做决策或生成内容的公司All US companies using AI for decisions or content generation
不欺骗消费者、保证 AI 安全、披露使用 AI 生成内容No deception, AI safety assurance, disclose AI-generated content
如果你是美国公司，这不是建议，是要求。If you're a US company, this is a requirement, not guidance.
NYC Local Law 144
Effective 2024
在纽约市使用 AI 进行招聘筛选的企业Companies using AI for hiring decisions in NYC
AI 模型审计、透明度通知、个人可选择人工审查Model audits, transparency notices, manual review option
如果你在纽约招聘或用 AI 筛选应聘者，必须遵守。If you hire in NYC or use AI screening, it's mandatory compliance.

关键数字： 2024 年，美国有 15 个州通过或考虑了 AI 法案。到 2026 年，这个数字已经是 25 个州以上。如果你的产品跨越不同州或跨国，你实际上需要遵守多套法律框架。 Key stat: In 2024, 15 US states passed or considered AI laws. By 2026, that's 25+ states. If your product spans states or borders, you're navigating multiple legal frameworks.

服务内容What We Do

四大 AI 合规
服务板块 Four Core AI Compliance
Service Modules

我们不是笼统地说"你需要合规"，而是精准定位你的产品在哪一层风险，然后给出具体的、可执行的合规路线。 We don't just say "you need compliance." We pinpoint where your product sits on the risk spectrum and give you concrete, actionable remediation.

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Core Module
AI 产品合规审查 AI Product Compliance Audit
系统性评估你的 AI 产品在美国各州法案、EU AI Act、联邦指导下的合规状态。不是"看一眼"，而是深入的风险分类和具体缺口分析。 Systematic assessment of your AI product's compliance status under state laws, EU AI Act, and federal guidance. Not a quick glance — deep risk classification and gap analysis.
  • 产品 AI 功能风险分类（高/中/低）Risk tier classification for your AI features (high/medium/low)
  • 适用法律地图绘制（州/欧盟/联邦）Mapping applicable laws by jurisdiction (state/EU/federal)
  • 合规缺口识别和补救路线图Gap identification and remediation roadmap
  • 透明度、可解释性、测试要求评估Transparency, explainability, testing requirement assessment
  • 优先级排序（立即做 vs 6 个月内 vs 12 个月内）Prioritization (do now vs. within 6 months vs. within 12)
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Core Module
AI 合同谈判支持 AI Contract Negotiation & Drafting
从 AI 模型供应商协议到数据处理，每一份合同都涉及法律责任分配。帮你谈判那些真正关键的条款，确保你的权利被保护。 From AI model vendor agreements to data processing — every contract allocates liability. We help you negotiate the clauses that actually matter, protecting your interests.
  • AI 服务条款（SaaS / API）关键条款审查AI SaaS / API terms review and negotiation
  • 模型 IP 归属、输出使用权、训练数据权利Model IP ownership, output usage rights, training data rights
  • 数据处理协议 (DPA) / 子处理方管理DPA and subprocessor management
  • 安全保障、审计权、责任限制条款Security, audit rights, liability limitations
  • AI 模型更新、版本控制、弃用条款Model updates, versioning, deprecation terms
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Core Module
AI 政策与治理 AI Policy & Governance Framework
不只是对外的合规，还要有内部的 AI 使用政策。员工怎样安全使用 ChatGPT、如何保护数据、AI 审核决策的流程——这些都需要白纸黑字地写下来。 Compliance isn't just external — you need internal AI use policies. How employees safely use ChatGPT, data protection rules, AI-assisted decision review processes — all documented.
  • 企业 AI 使用政策（员工指南、数据保护、内容审查）Company AI use policy (employee guidelines, data handling, content review)
  • AI 决策审查流程（人工监督、可解释性记录）AI decision review process (human oversight, explainability logging)
  • 数据隐私政策更新（披露 AI 使用、个人权利保护）Privacy policy updates (AI usage disclosure, consumer rights)
  • 事件响应计划（AI 偏见发现、不合规情况处理）Incident response plan (AI bias discovery, non-compliance handling)
  • 合规培训材料与定期审计Compliance training & periodic audits
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Core Module
监管策略与风险管理 Regulatory Strategy & Risk Management
监管部门的执法趋势每年都在变化。我们帮你看清下一步可能的风险，主动与监管机构沟通（如果需要），建立合规监控系统。 Regulatory enforcement priorities shift annually. We help you anticipate risk, proactively engage regulators if needed, and build ongoing compliance monitoring.
  • 执法趋势预警与法律更新追踪Enforcement trend analysis and law change tracking
  • 主动监管沟通策略（自愿披露、前沿法律意见）Proactive regulator engagement (voluntary disclosure, safe harbor strategies)
  • 合规监控系统建立（定期审查周期、指标跟踪）Compliance monitoring system (review cadences, KPI tracking)
  • 法律诉讼风险评估与防守策略Litigation risk assessment and defensive strategy
  • 跨境扩展合规规划（新市场进入前的法律审查）Cross-border expansion planning (pre-entry legal review)
博客与资源Blog & Resources

深度内容 In-Depth Guides

关于 AI 法律和合规的实战指南，从州法案解读到合同陷阱。 Practical guides on AI law and compliance — from state law breakdowns to contract pitfalls.

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AI 合同风险大盘点AI Contract Risk Deep Dive
在 ChatGPT、Claude、Gemini 服务条款中最容易踩的 5 个坑——以及如何谈判规避。The 5 biggest traps in ChatGPT, Claude, Gemini terms — and how to negotiate around them.
阅读文章 →Read Article →
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加州 AB 2013 vs EU AI ActCalifornia AB 2013 vs EU AI Act
两套最重要的 AI 法律有什么区别？对你的产品意味着什么？How do these two pivotal laws differ? What does each require from your product?
阅读文章 →Read Article →
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AI 与律师特权AI & Legal Privilege Issues
用 AI 写法律备忘录，会失去律师特权保护吗？法律从业者需要知道的风险。Does using AI to draft legal memos waive attorney-client privilege? What lawyers need to know.
阅读文章 →Read Article →
开始合规之旅Start Compliance Today

AI 合规不是未来的问题
是今天的必需品 AI Compliance Isn't
a Future Problem — It's Now

免费 30 分钟初步评估。告诉我你的 AI 产品做什么，我来帮你评估合规风险和可行的路线。 Free 30-minute assessment. Describe your AI product, and we'll evaluate compliance risk and chart a path forward.

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