These are the specific frameworks and obligations relevant to your sector, not a generic GDPR checklist. Each one has a direct implication for how you govern AI use and data handling.
Firms must have enforceable technical controls for AI use. A policy document alone does not meet the requirement.
Records of processing activities must include AI tool use where personal data is involved.
'Appropriate technical measures' means something enforceable. An AI usage policy without technical enforcement does not qualify.
The Compliance Officer for Legal Practice carries named individual regulatory risk, not just corporate risk.
AI tools receiving privileged client communications create disclosure risk that only technical controls address.
Using AI tools to process client data triggers ICO guidance on lawful basis, data minimisation, and transparency. Documented risk assessments are expected, not just a policy.
These are the specific workflows most organisations in your sector deploy first, in plain terms.
Every prompt and file upload to any LLM is intercepted before it leaves your network. PII and privilege material is replaced with consistent surrogates. Real values are restored in the response. No real data reached the model.
Documents pulled from your DMS (iManage, NetDocuments, SharePoint, or any other system) into AI tools pass through VestraData's airlock automatically. A governed clean copy is produced before the document reaches any AI endpoint — no privilege risk, no manual review.
Every entity detected, every surrogate applied, every decision made: all written to a tamper-evident, hash-chained audit record. When the SRA asks what technical controls you have, you export the log.
Custom entity types like matter references, client codes, and internal identifiers are caught by the same zero-shot engine as PERSON and EMAIL. Configured once, applied consistently across every AI endpoint.
Both products share the same detection engine. Most organisations in your sector start with one before adding the other.
The control layer between your people and every LLM endpoint. Transforms sensitive content in prompts before it reaches any AI model. Required to demonstrate technical enforcement to the SRA.
PII discovery across your document management system (iManage, NetDocuments, SharePoint, or others), practice management database, and file storage. Know what you hold before you govern what leaves.
Covers ChatGPT, Claude.ai, Gemini, and Microsoft Copilot in the browser. Every prompt and file upload intercepted before it leaves the page. No endpoint agent required.
Covers Claude Desktop, Cursor, and AI coding tools using the Model Context Protocol. The intercept plane most governance tools don't reach — if fee earners use AI in their IDE, this is where that traffic is caught.
The same client name becomes the same surrogate every time: across sessions, planes, and time. Cross-session entity consistency is what makes AI outputs coherent and complete.
Hash-chained, tamper-evident. GDPR Art. 30 compliant. Export directly to the SRA. Compliance evidence, not a log file.
Four actions per entity type: transform, block, warn, audit-only. Configured per application, per user group. No coding required. Deployed in your environment.
Nothing reaches vendor infrastructure. ML models run in your environment. Required for firms with LPA obligations or client money segregation requirements.
Field-level PII discovery across iManage, NetDocuments, SharePoint, and your practice management system. Confidence scores and row counts. No schema knowledge required upfront.
New documents arriving in monitored repositories trigger automatic pre-clearance. A governed clean copy is produced before the file reaches any partner, AI tool, or external system.
Find regulated data across matter repositories, client file stores, and email archives. Structured and unstructured sources in one review queue.
Processing activity documentation generated automatically from scan findings. Evidence of what data you hold, where it lives, and what controls are in place.
Anonymised matter and client data for business analytics, benchmarking, and internal reporting. Statistical distribution preserved. No real client data in analytics pipelines.
Exportable audit evidence package for SRA submissions and regulatory responses. Shows what was found, what controls were applied, and when.
We connect to something real in your environment and you see actual findings. No slide decks. No fabricated data. Median time to first scan: under 4 hours from credentials.
For COLPs and compliance leads. We understand SRA timelines and what 'appropriate technical measures' requires.