GDPR Article 5 alignmentPrivilege markersArticle 30 audit log

GDPR-aligned AI for law firms handling EU client matters

Your associates use ChatGPT to draft contracts, summarise discovery, refine pleadings. The moment client identity, witness statements, or counterparty personal data enters a prompt, you've triggered GDPR — and possibly privilege concerns under the SRA Code or your bar's equivalent. TeamPrompt blocks personal data and privileged identifiers before they reach OpenAI, Anthropic, or Google.

By Eric Campton·Founder, TeamPrompt·Updated June 2026

Legal AI Controls

GDPR requirements when associates use AI tools

Every feature designed to help your team work smarter with AI.

01

Personal data detection (Art 4(1))

Names, email addresses, ID numbers, location data, biometric identifiers — the categories GDPR Article 4(1) defines as personal data — detected and blocked before reaching AI providers.

02

Privilege markers + matter identifiers

Client matter numbers, privilege headers ('Privileged & Confidential', 'Attorney-Client Communication'), opposing party identifiers — flagged with stricter policy than ordinary personal data.

03

Article 30 records of processing

Every AI interaction logged with controller (firm), data categories, lawful basis (legitimate interests / consent), retention period, and recipients — directly populating your Article 30 records of processing activities.

04

Data minimisation enforcement

GDPR Article 5(1)(c) requires personal data be limited to what's necessary. When associates try to paste full client files, TeamPrompt enforces redaction at the prompt level — minimising data before it ever leaves the firm.

05

Cross-border transfer prevention

When ChatGPT, Claude, or Gemini processing happens outside the EEA, personal data transfer triggers Chapter V requirements (SCCs, adequacy decisions). TeamPrompt blocks the transfer trigger at the source — no transfer means no Chapter V exposure.

06

Per-matter compliance reports

Filter the audit trail by matter number for client transparency, by associate for partner oversight, or by data category for ICO / CNIL inspection readiness. Exports formatted for European supervisory authority requests.

Benefits

Why European law firms choose TeamPrompt

Block client personal data, witness identifiers, and matter context from reaching AI providers — preventing the GDPR exposure that's already led to enforcement actions against firms
Address GDPR Articles 5 (principles), 24 (controller obligations), 30 (records of processing), 32 (security), and Chapter V (international transfers) as they apply to AI tool usage
Preserve privilege by preventing privileged communications from being processed by AI providers whose data handling terms may not align with privilege rules
Avoid the €20M or 4% of global turnover penalty (whichever is higher) under Article 83
Support partner oversight with per-associate AI usage reports — the supervision evidence the SRA and equivalent regulators expect
Give associates a sanctioned path to use AI for productivity without ad-hoc 'don't paste client names' practice notes

€20M

Max Article 83 fine

4%

Or global turnover

Art 5/30/32

Articles addressed

FAQ

Frequently asked questions

Does using ChatGPT trigger GDPR for our law firm?

Yes, whenever the prompt contains personal data of an EU data subject. Your firm becomes the controller of that processing under Article 4(7). OpenAI/Anthropic/Google become processors. Whether you have the lawful basis, the SCCs for transfer, and the Article 30 record depends on your specific situation — but the trigger is the prompt.

How does TeamPrompt address privilege risk specifically?

TeamPrompt detects privilege markers (header text, matter identifiers, client names you've configured) and applies stricter policies than ordinary personal data — typically a hard block rather than a redact. This preserves privilege by preventing the privileged communication from being transmitted to a third party at all.

What about Article 30 records of processing?

TeamPrompt's audit log captures every element Article 30 requires: controller (your firm), processor identity (which AI tool), data categories, lawful basis (configurable per policy), retention (per your firm's policy), and recipients. The log exports in formats supervisory authorities accept — we've seen ICO and CNIL request formats.

Is browser-side DLP enough to satisfy Article 32 security?

Article 32 requires 'appropriate technical and organisational measures' considering state of the art, costs, and risk. For AI tool usage specifically, browser-side prevention is arguably state-of-the-art: it blocks the data flow before it can be processed by the third-party AI provider. It's also operationally proportionate — minutes to deploy vs months for proxy-based alternatives.

How it works

Three steps from install to full AI security coverage.

1

Install

Add the browser extension to Chrome, Edge, or Firefox — or deploy it to your whole team via MDM. No proxy or VPN needed.

2

Configure

Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.

3

Protected

Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.

Want help getting set up?

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