Insights
Research, frameworks, and points of view on AI adoption and implementation inside mid-market law firms.
The biggest problem with buying Harvey or Legora, or implementing Claude, isn't price or limits. It's starting with the technology instead of the practice. Why the tool is the last decision, not the first.
June 2026
Anthropic's framework names what it takes to work well with AI. The catch: it was written for a person, and a firm has to build all four into how it practices.
June 2026
What a firm actually looks like once AI fits how it practices, in the work, the associates, and what clients feel.
June 2026
How a senior lawyer routes production through specialized agents without altering their supervisory role.
June 2026
Why a freshly built AI system shouldn't be judged on day one, and what it needs, like any new hire, before it performs.
June 2026
Three of the four AI-fluency competencies improve with practice. The fourth, delegation, is an institutional decision, and the one firms hand to us.
June 2026
Nearly every firm uses AI; almost none see measurable value. Why the pilots fail, and what separates the firms that get a return.
June 2026
What the nine-figure infrastructure moves at Kirkland, Freshfields, Paul Weiss, and Wilson Sonsini actually mean for mid-market firms.
May 2026
The firm-IP deliverables, explained: what each one is, what question it answers, and why the bundle stands on its own.
April 2026
The foundational paper. Codification before implementation. Configuration is the craft. The lawyer remains the lawyer. The five principles behind the practice.
March 2026
How to find out what AI is already running inside your firm, and what to do about it before a malpractice question reaches the partnership.
February 2026
What happens to associates when AI does the work associates used to learn from. Twelve patterns from firms that have started solving it.
January 2026We write occasionally, and only when it's worth your time: practical thinking on AI in mid-market law firms.
Codified Counsel