Using AI responsibly under the rules that govern legal and personal data: GDPR, HIPAA, India's DPDP Act, the EU AI Act, and the data-security expectations for law firms adopting AI tools.
9 articles
The EU AI Act's obligations have been arriving in waves since 2024 — and the next major milestone lands in August 2026. Here is what has actually applied so far, what law firms must do as deployers, and how the Act became a client-advisory opportunity.
Client mandates, data protection regimes, and professional secrecy rules increasingly care about geography. A practical guide to what data residency does and does not solve for legal teams — and the vendor questions that separate real residency from a checkbox.
Law firms process personal data on a vast scale, which makes GDPR a daily concern. This guide covers controller and processor roles, lawful basis, special-category data, vendor DPAs, data-subject rights, breach notification, international transfers, and how to vet an AI vendor.
Before any client document touches a legal AI platform, someone at your firm should be able to answer: where does the data go, who can see it, and what is it used for? Here is the complete vendor questionnaire — with what good answers look like.
Using AI does not lower a lawyer's duty of confidentiality - it raises the bar on vendor diligence. This guide covers encryption, access controls, audit logging, no-training-on-your-data, hosting and residency, incident response, and what SOC 2 and ISO 27001 actually mean.
The EU AI Act introduces a risk-based regime for artificial intelligence. This guide explains the four risk tiers, obligations for general-purpose AI, the phased 2025-2027 timeline, and what the rules mean for lawyers both advising clients and using AI tools themselves.
Personal-injury, med-mal, and mass-tort work routinely brings protected health information across a lawyer's desk. This guide explains business-associate status, BAAs, the minimum-necessary rule, required safeguards, de-identification, and what to verify before sending PHI to any AI vendor.
AI-powered regulatory compliance is the use of artificial intelligence to automate, monitor, and verify an organization’s adherence to regulatory requirements such as GDPR, HIPAA, and SOX—shifting compliance from reactive to proactive.
Regulatory compliance in the age of AI refers to the challenge of adopting AI-powered legal tools while meeting obligations under data protection regimes like GDPR, HIPAA, and SOX.
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