I spent five years inside a US law firm watching how legal work actually moves — not the pitch decks, the actual work. Now I publish what I find and help firms redesign operations around the split that matters.
I'm not an AI vendor. I'm not reselling tools. I'm not reposting press releases. I'm an operator who understands legal work from the inside and builds infrastructure around it.
Long-form research for the strategy. Daily observations for the tactics. Read the thesis, join the conversation.
Deep essays on the architecture of the future firm. Economics, structural shifts, and the long-term posture required to not get flattened. Published every week. Open access.
Real-time observations, mental models, and raw reads from inside the trenches of legal tech implementation. Where the firms that will survive are asking the right questions early.
KPMG demanded a 14% AI discount from its own auditor. The fee dropped from $416,000 to $357,000. Every General Counsel just got the script to demand the same from their law firms. The billable hour isn't dying because AI is faster. It's dying because AI made speed visible.
Tactical insights and structural analysis from the edge of legal AI.
KPMG demanded a 14% AI discount from Grant Thornton. The fee dropped from $416,000 to $357,000. Every General Counsel just got the script.
Anthropic built a model that found thousands of zero-day vulnerabilities in every major OS. They refused to release it. Here's why that matters for every firm handling confidential data.
448 signals. Four dimensions. Five levels. The framework that scores where your firm actually stands on AI — and why the gaps between dimensions are where the real risk hides.
Fifteen research silos. Over 1,000 pages of structural analysis. Every federal district, every state regulation, every AI tool and case. Free.
Where the firm actually gets redesigned. Capability development, workflow mapping, measurable economic impact. No software sales. No reselling.
Guardrails that allow innovation without malpractice. Data governance protocols, vendor vetting, disclosure rules mapped to your jurisdictions.
Transition from pure billable hours to value-based pricing and fixed-fee models. Use AI efficiency to raise realization, not cannibalize it.
Map your practice groups to identify the high-volume processing work that's immediately LLM-ready. Separate the 60% from the 40%.
Don't outsource your firm's future to a vendor. Let's map your operational reality.
Weekly intelligence from inside the legal AI transition. Proprietary research, audit data, and the reads nobody else is publishing.