Insights
Research, frameworks, and indices on AI adoption 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 surrounded by specialized AI agents does the work that used to take a team, while staying firmly in charge.
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
The 4D framework names four competencies for working with AI. Three a firm can build in-house. The fourth, deciding what's human and what's machine, is the one firms hand to us.
June 2026
Adoption is high. Integration is rare. The structural explanation, the cost of the gap, and the firm-by-firm path forward.
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 2026
Codified Counsel