AI adoption is already happening.Someone has to lead what happens next.

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.

As AI moves from experimentation into daily legal work. Legal professionals have a shared mandate.

That shared mandate:Turn ChatGPT, Claude, Copilot, and legal AI tools into safe, useful, and accountable ways of working across the legal organization.

Different titles. One responsibility.

The mandate crosses legal, innovation, operations, knowledge, and technology. Each role carries a different part of the same responsibility.

Innovation partner

Turning experimentation into repeatable practice.

Knowledge leader

Deciding how trusted knowledge enters and emerges from AI systems.

General counsel

Balancing opportunity, professional duty, and organizational risk.

Legal operations

Building the workflows, controls, and measures that make adoption stick.

CIO / CTO

Evaluating security, integration, access, and vendor claims.

Practicing attorney

Using AI in real matters while preserving judgment and client trust.

01 / The operating challenge

Writing an AI policy is only the beginning.

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.

From policy to practice

Three decisions turn policy into daily practice.

The answer may vary by tool, matter, client, and organization. But legal teams still need a clear way to protect information, verify the work, and govern everyday use.

01

Protect the information

What can enter the tool?

Legal organizations need practical rules for client information, privileged communications, internal data, intellectual property, and vendor promises about how information is handled.

02

Verify the work

Who checks what comes out?

AI can produce useful work and still miss nuance, invent authority, or state an incorrect conclusion with confidence. Review standards must preserve professional judgment and make responsibility clear.

03

Govern the use

How does policy become practice?

Approved tools, training, supervision, access controls, and clear ownership determine whether a policy changes behavior or pushes AI use out of view.

02 / How the Council works

A research and working cycle for decisions no legal organization should make alone.

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.

The Council brings the research, practical questions, facilitation, and synthesis. Participants bring lived experience and real constraints. The result is guidance legal organizations can adapt, test, and improve.

01

Find the decision

Interviews and current developments surface recurring questions legal teams must resolve.

02

Study the evidence

Research separates what is known, what is uncertain, and what each decision requires.

03

Work it with peers

Structured conversations test approaches against real constraints across legal organizations.

04

Carry guidance back

The Council synthesizes what is learned into guidance organizations can adapt and improve.

Professionals in a focused peer working session around a conference table

The trusted room

The hardest decisions should not be made in isolation.

A confidential setting lets leaders examine failed experiments, vendor claims, internal resistance, and tradeoffs they cannot discuss in public. The Council structures the work so the conversation produces clearer questions and guidance, not simply another exchange of opinions.

Candid exchange · Shared evidence · Practical guidance

03 / What the Council is learning

Research for the decisions behind responsible adoption.

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.

04 / What we are building

A body of work first. A durable Council if the evidence supports it.

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.

Today

Research, analysis, and conversations with legal AI leaders.

Next

Small briefings and structured working sessions around specific decisions.

As evidence grows

Recurring cohorts, shared tools, and broader convenings if the work proves useful.

05 / Behind the work

Built through research, technical fluency, and legal-market judgment.

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

Stay close to the work as it develops.

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.

  • 01 New research and field findings
  • 02 Invitations to contribute
  • 03 Early notice of briefings
  • 04 A voice in what we study next

Join the founding list

What decision are you carrying?

Tell us where you sit in the work and what AI adoption question is occupying your attention.

What would you like to hear about?
By submitting, you agree that AI Legal Council may contact you about research, opportunities to contribute, and future briefings related to your interests.