Professional Responsibility August 24, 2026 5 min read

Ethics & Professional Responsibility Documents

Most free AI templates weren't written for lawyers. They were written for corporate risk teams working off ISO 42001 or the NIST AI RMF — frameworks that never mention ABA Rules 1.1, 1.4, 1.6, 3.3, 5.1, 5.3 or Formal Opinion 512. Defensible AI™ was: eleven governance documents, mapped to the rules that actually govern a license, each one built to produce a record you can show a carrier, a bar committee, or opposing counsel.

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Peter J. Keane

AI Business Systems Architect

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Ethics & Professional Responsibility Documents

The documents every firm using AI needs, regardless of size.

Most free AI templates weren't written for lawyers. They were written for corporate risk teams working off ISO 42001 or the NIST AI RMF — frameworks that never mention ABA Rules 1.1, 1.4, 1.6, 3.3, 5.1, 5.3 or Formal Opinion 512. Defensible AI™ was: multiple governance documents, mapped to the rules that actually govern a license, each one built to produce a record you can show a carrier, a bar committee, or opposing counsel. Get them here. Not fully satisfied? We will refund your purchase price.

What you get

  • A complete document, not a fragment

  • Mapped to the rules that govern your license

  • A system, not a stack of unrelated PDFs

  • The finished document, not a lead magnet

Here are just a few...


AI Acceptable Use Policy

Firm-wide AI governance, mapped to the Model Rules

An attorney-ready AI Acceptable Use Policy for law firms, mapped to ABA Model Rules 1.1, 1.4, 1.6, 5.1, 5.3 and Formal Opinion 512. Covers permitted and prohibited uses, attorney supervision, vendor evaluation, client confidentiality, incident reporting, and recordkeeping.


AI Client Disclosure Procedures

Know exactly when — and how — to tell clients

Defines exactly when and how your firm must disclose AI use to clients, satisfying Rule 1.4 of the ABA Model Rules and Formal Opinion 512. Includes ready-to-use engagement letter language, disclosure triggers, mid-matter notification protocol, and a pre-filing tribunal disclosure checklist.


Human Oversight & AI Verification Standards

The standard your verification log has to prove

Operational standards requiring attorney verification of every AI-assisted output before use, satisfying Rule 5.3 supervision and Rule 3.3 candor duties. Sets mandatory review requirements for citations, factual assertions, and legal analysis, plus matter-file documentation and prohibited-reliance rules.


Built to be used, not built to lead you to a sales call

A complete document, not a fragment

Search for "AI disclosure clause" or "AI vendor checklist" and you'll find plenty of free content — but it's almost always one piece of a much larger picture. Our documents are the whole operational piece — the trigger conditions, the exact language, the escalation path, and the documentation requirement, in one place.

Mapped to the rules that govern your license

Most "AI governance" content online is enterprise compliance material — built around ISO 42001, the NIST AI RMF, or the EU AI Act. None of it was written for a law firm. Every document here is built from the professional responsibility framework you actually answer to.

A system, not a stack of unrelated PDFs

These nine documents were designed to connect. The Governance Charter establishes your committee's authority. The Risk Assessment feeds the ratings that determine how a vendor gets approved. The Incident Response Plan activates when something goes wrong with a tool the rest of the system already approved.

The finished document, not a lead magnet

A lot of "free" AI policy content stops just short of anything usable — enough to explain the problem, not enough to solve it, because the real goal is to get you on a call. What you get here is the actual, complete, ready-to-customize document. No sales call required.

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Peter J. Keane

Founder, KeaneAdvisors.AI

Peter J. Keane is the founder of KeaneAdvisors.AI. He advises law firms and professional services organizations on AI governance, risk management, enterprise communications, and responsible AI deployment strategy.

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