Innovation partner
Turning experimentation into repeatable practice.
AI Legal Council is for the people inside legal organizations responsible for deciding how ChatGPT, Copilot, Claude, and legal AI products can be used, what information can enter them, and how AI-assisted work should be reviewed.
That shared mandate:Turn ChatGPT, Claude, Copilot, and legal AI tools into safe, useful, and accountable ways of working across the legal organization.
The mandate crosses legal, innovation, operations, knowledge, and technology. Each role carries a different part of the same responsibility.
Turning experimentation into repeatable practice.
Deciding how trusted knowledge enters and emerges from AI systems.
Balancing opportunity, professional duty, and organizational risk.
Building the workflows, controls, and measures that make adoption stick.
Evaluating security, integration, access, and vendor claims.
Using AI in real matters while preserving judgment and client trust.
01 / The operating challenge
Policies can define acceptable use. The harder work begins when lawyers and business teams apply them to real matters: deciding what information can enter a tool, how AI-assisted work is checked, and who owns the workflow when practice changes.
The policy-to-practice gap
“How do I use ChatGPT without breaking privilege?”
The question is specific, but the gap it exposes is broader. A useful answer depends on operating decisions that a policy cannot make on its own.
02 / How the Council works
AI Legal Council starts with the decisions legal teams are already carrying. We study the evidence, identify what remains uncertain, and create structured ways for qualified peers to compare how those decisions behave in practice.
Interviews and current developments surface recurring questions legal teams must resolve.
Research separates what is known, what is uncertain, and what each decision requires.
Structured conversations test approaches against real constraints across legal organizations.
The Council synthesizes what is learned into guidance organizations can adapt and improve.

03 / What the Council is learning
That working cycle begins in public. Our interview program and ongoing analysis turn recurring questions into field notes and practical research, with the evidence, limits, and next questions visible.
Early conversations with legal professionals point to a harder operating problem: turning written boundaries into decisions people can make during real work.
Read the field note ↗A practical frame for moving from broad AI principles to information rules, review standards, and day-to-day governance.
Read the note ↗Public chatbots create a client-guidance question that legal organizations cannot solve through internal tool rules alone.
Read the note ↗04 / What we are building
The Council is being built in the same order it asks legal organizations to work: start with evidence, test what is useful, and expand only when the work earns it.
Research, analysis, and conversations with legal AI leaders.
Small briefings and structured working sessions around specific decisions.
Recurring cohorts, shared tools, and broader convenings if the work proves useful.
05 / Behind the work
Roger Campbell II and Jeff Linihan are developing AI Legal Council through conversations with legal professionals and the design of practical ways to turn shared learning into better decisions.
About AI Legal Council ↗06 / Founding list
Join the founding list to receive new findings and practical analysis, contribute to future research, and hear first when Council briefings and working sessions open.
Join the founding list
Tell us where you sit in the work and what AI adoption question is occupying your attention.