Resources
Everything, in one place.
A single index of what adnah has published on the AI-native legal practice - start wherever is useful.
AI Readiness Audit
Score your practice against the four stages of AI maturity in ten questions, with a per-primitive breakdown and next-step recommendations.
Open →The Thesis
Why big law structurally cannot go AI-native, why independent firms structurally can, and what the operating model actually is.
Open →The MATTER Method
The six primitives every legal practice is made of, each with its own deep-dive page: how to name it, systematise it, and automate it.
Open →Case Studies
Anonymised, detailed transformations of law practices built with the MATTER Method - challenge, phases, and outcome.
Open →Traditional vs. AI-Native
A full axis-by-axis comparison table plus the structural argument for why this is a rebuild, not a tooling upgrade.
Open →Glossary
Plain-language definitions for every term adnah uses - matter, evidence anchoring, fixed fee, hallucination, and more.
Open →Journal
Short essays on AI-native legal practice, published as the studio learns from live transformations.
Open →Pricing
How an AI transformation is priced, what the two engagement tiers include, and honest answers to cost questions.
Open →Security & Data Handling
How adnah handles client data during a transformation - access, confidentiality, and what happens to your data after.
Open →Studio Principles
The eleven operating principles that decide how adnah transforms a practice, what it takes on, and what it refuses.
Open →FAQ
Every honest question a firm asks before applying - answered plainly.
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