The Real Question: Trust, Not Just Labeling
The EU AI Act brings transparency requirements, but for law firms the practical question is different: How do you use AI content without damaging client trust?
Labeling is one piece. But guardrails, approval processes, and editorial control matter more. A perfectly labeled post that makes unsubstantiated claims still damages your firm.
What the AI Act Actually Requires
For content generation (not high-risk AI), the Act focuses on:
- Transparency about AI involvement in content creation
- No deceptive practices that could mislead consumers
- Documentation of AI usage for accountability
For law firms producing marketing content, this typically means:
- Internal documentation of your AI-assisted workflow
- Clear editorial oversight and approval processes
- Optional public disclosure (footer note, transparency page)
The Act does NOT require labeling every AI-assisted sentence. It requires honesty about your processes.
Practical Guardrails (Copy/Paste Ready)
These rules prevent problems before they happen:
Content Rules:
- AI drafts structure and initial text – final approval always human
- No absolute promises ("guaranteed results", "always wins")
- No language that sounds like specific legal advice
- All examples must be anonymous or clearly hypothetical
- Factual claims require verifiable sources
Process Rules:
- Every post reviewed by qualified person before publishing
- No-go list checked automatically (see below)
- Approval timestamp logged for audit trail
- Monthly review of published content for issues
No-Go List: What AI Content Must Never Include
| Category | Examples | Why It Matters |
|---|---|---|
| Absolute claims | "We always win", "100% success" | Misleading, potentially sanctionable |
| Specific advice | "In your case, you should..." | Creates advisory relationship |
| Unverified stats | "Studies show 87%..." (no source) | Credibility damage |
| Competitor attacks | "Unlike firm X who..." | Unprofessional, legal risk |
| Urgency manipulation | "Act now or lose rights" | Pressure tactics, trust damage |
Three Labeling Approaches (Choose One)
1. Internal Documentation Only
- Document your AI-assisted workflow internally
- Maintain approval logs and edit history
- No public disclosure unless asked
- Best for: Firms concerned about perception
2. Transparency Page
- Add note to About/Imprint page: "We use AI tools to assist with content research and drafting. All content is reviewed and approved by our team."
- No per-post labeling
- Best for: Balanced transparency
3. Footer Disclaimer
- Small note on each post: "AI-assisted | Reviewed by [Firm Name]"
- Most transparent approach
- Best for: Firms that want to lead on transparency
All approaches satisfy AI Act requirements when combined with proper oversight.
QA Checklist Before Publishing
Every AI-assisted post should pass these checks:
- Claims verified: No unsubstantiated numbers or promises
- Tone appropriate: Informative, not promotional or pushy
- Advice distinction clear: General information, not specific advice
- CTA neutral: "Learn more" or "Contact us", not pressure tactics
- Sources cited: External claims have references
- No-go list clear: Automatic check passed
- Approved by: Name and timestamp logged
Measuring Success
Track these metrics monthly:
| Metric | Target | Why |
|---|---|---|
| Revision requests per post | < 2 | Shows guardrails working |
| Approval time | < 24h | Process efficiency |
| Compliance incidents | 0 | Risk management |
| Reader complaints | 0 | Trust indicator |
Next Step
Content automation works when guardrails are solid. Start with your no-go list and approval process before scaling production.
Full Guide: Content Automation for Law Firms
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