Where legal
meets AI.
Honest perspectives on what AI means for legal practice. Not vendor hype, not fear. What it actually changes, what it does not, and what firms need to do about it.
Plain English. No jargon. Written by a former litigation lawyer and a thirty-year technologist who do this work with UK law firms every day.
What happens to your client's data when you use an AI tool?
A practical guide for law firms on what AI tools actually do with client data, covering free tools, enterprise tiers, legal-specific platforms, and the regulatory obligations under UK GDPR and the SRA Code.
AI Tools and Client Data: A Technical Note for Legal Practitioners
A technical follow-up to UKUT 81 (IAC). Explains what open source and public domain mean in their correct technical and legal contexts, sets out the consumer vs enterprise distinction that matters for compliance, covers UK GDPR obligations, legal privilege risk, and how ISO 42001 governance strengthens a firm's position. Co-authored by Naz Keceli and Khiliad Ltd.
AI is changing jobs. Here is where it is happening, where it is not, and what it means for law.
New Anthropic research shows where AI is actually changing work, not just where it theoretically could. The legal sector faces real exposure in document-heavy tasks, even as courtroom work remains protected.
Taalas HC1 Review: The AI Inference Chip That Changes What Fast Means
The Taalas HC1 hardwires Llama 3.1 8B into silicon and delivers up to 17,000 tokens per second. We tested it. Instant inference is real.
AI Readiness in 2026: What Enterprise Failures Teach SMEs About Getting the Basics Right
Enterprise AI failures in 2025 offer a masterclass for SMEs. The winners in 2026 won't move first—they'll move smart.
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