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AI Agents in Regulated Industries

Written by the people deploying them.

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Industry Insights

What a law firm actually asks before it buys legal AI

A practical guide to what law firms and enterprise legal teams actually ask before they buy legal AI: governance, data protection, identity, encryption, AI-specific controls, audit, incident response, and the commercial wrap that goes around all of it.

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Technical

AI Agent Compliance Architecture: A Reference for Regulated Industries

How to design compliance architecture for AI agents: identity, data boundaries, action authorisation, immutable audit, and policy-as-code. A reference architecture for legal, financial services, and government deployments.
Industry Insights

AI Agents vs Traditional Legal Workflow Software: Where Each Belongs

Traditional workflow tools like HighQ, iManage and Litera Transact run repeatable processes well but stall on unstructured work. AI agents handle the judgement-heavy work the templates can't reach. A guide to where each fits in a modern firm.
Technical

Why Your AI Platform Needs Per-User Credentials (And Most Don't Have Them)

When an AI agent queries your document management system, whose permissions does it use? For most platforms, the answer is a shared service account. That's a problem.
Guides

The EU AI Act Compliance Deadline Is August 2026: What Financial Services Firms Need to Do Now

The EU AI Act deadline for high-risk AI systems is August 2, 2026. Financial services, insurance, and legal firms deploying AI agents must act now on conformity assessments, technical documentation, risk management, and human oversight to avoid penalties of up to 35 million EUR.
Technical

MCP Servers in Regulated Environments: Security, Governance and What the Protocol Does Not Cover Yet

A technical analysis of the Model Context Protocol's security model, its gaps for regulated industries, and the governance controls needed to deploy MCP servers in compliance-sensitive environments.
Industry Insights

Private AI Deployment for Law Firms: SRA Compliance, Privilege and Practical Architecture

How law firms can adopt AI without compromising SRA compliance, legal professional privilege, or client confidentiality. Covers regulatory requirements, the privilege problem with US-hosted tools, and practical private deployment architecture.
Technical

AI Agent Governance Controls: A Technical Reference for Regulated Deployment

Audit trails, approval workflows, identity, data boundaries, and policy-as-code enforcement: a technical reference for AI agent governance in regulated industries.
Guides

Regulatory Frameworks for AI Agents: A Reference Guide

A practical reference covering the regulations that apply to AI agent deployments in financial services, legal, and healthcare, from GDPR and FCA Consumer Duty to the EU AI Act and MiFID II.
Industry Insights

Why Regulated Industries Are the Real Test for AI Agents

Most AI agent demos show them booking restaurants. The actual hard problem is deploying agents where every decision needs an audit trail and a wrong answer has regulatory consequences.