Published Book — 2nd Edition

Practical AI for
Small Law Firms

How small law firms can evaluate and apply AI responsibly to reduce friction, improve reliability, and protect professional judgment.

The only AI governance guide written exclusively for solo practitioners and firms up to 50 attorneys. This is not a technology tutorial. It is a structured evaluation methodology that helps firm leaders make deliberate, defensible decisions about AI — including the decision not to adopt it.

KeaneAdvisors.AI — 2026
Practical AI for Small Law Firms
Second Edition — 209 Pages

Peter J. Keane AI Business Systems Architect
Founder & CEO, KeaneAdvisors.AI
📗 Available Now

Not a tool guide.
An evaluation methodology.

Most books about AI in law focus on which tools to use. This book asks a different question: where does your firm experience friction — and could any existing AI tools reduce that friction without increasing risk?

That framing changes everything. Instead of technology-first thinking, the book applies the Assess → Design → Deploy framework to eleven specific operational constraints that small law firms face — from capacity and throughput to billing discipline, client communication, and governance.

Each chapter identifies a real problem, explains why it persists in small firms, evaluates where AI may help carefully and conditionally, and addresses the professional responsibility considerations that apply. Every chapter includes a worksheet and printable forms.

The book also serves as the conceptual foundation for the AI Governance Phase 0 Assessment — the formal evaluation framework that translates these concepts into a scored, documented, defensible governance record.

“AI evaluation is fundamentally a governance decision — not a technology decision. Before any tool is considered, firms must define risk boundaries, ethical constraints, and oversight structures. Technology selection, if it occurs at all, comes later.”

— From the Foreword, Practical AI for Small Law Firms
Key Principle

If this book helps you decide not to adopt a tool — or to delay adoption until conditions are right — it has served its purpose. Choosing not to adopt AI after evaluation is a valid and defensible outcome.

CLE Companion

The book is the foundation for the accredited CLE program Practical AI in Small Law Firms — available for 1.0 Ethics credit in Georgia, Ohio, and South Carolina.

Enroll in the CLE program →

Eleven operational problems.
Each evaluated through a governance lens.

Every chapter follows the same structure: problem definition, why it persists in small firms, where AI may help carefully and conditionally, professional responsibility considerations, and a worksheet with printable forms.

Chapter 1
Everyone Is Busy — and We’re Still Behind

Identifying and mapping the real constraints shaping firm operations. Distinguishing structural problems from temporary ones before any AI consideration begins.

Chapter 2
We’re Fully Staffed — So Why Is Everything Late?

Capacity versus skill. How skill concentration creates bottlenecks that headcount alone cannot fix, and what governance must exist before AI tools can help.

Chapter 3
When Every Matter Is Active — and Nothing Is Advancing

Throughput and workflow bottlenecks. Includes a 14-day low-risk AI pilot framework with structured guardrails for firms ready to run a controlled test.

Chapter 4
The Error That No One Saw Coming

Late-stage quality failures and the governance structures that prevent them. Why AI without verification protocols increases this risk rather than reducing it.

Chapter 5
Client Communication: Speed, Clarity, Trust

When communication constraints become client experience problems. Rule 1.4 obligations in the context of AI-assisted client interaction and responsiveness.

Chapter 6
Billing Discipline and Cash-Flow Rhythm

Why billing gaps persist and how AI efficiency affects Rule 1.5 obligations. The emerging carrier and client scrutiny around AI billing disclosure.

Chapter 7
Tribal Knowledge and Institutional Memory

When critical firm knowledge lives in individual attorneys rather than systems. Knowledge dependency risks and the governance prerequisites for AI-assisted capture.

Chapter 8
Confidentiality in an AI-Enabled Workflow

Rule 1.6 obligations applied to AI tool selection, vendor data retention, client-specific restrictions, and the required evaluation process before any tool is approved.

Chapter 9
Information Fragmentation: Email Is Not a System

When conversation substitutes for infrastructure. Information fragmentation risks and the governance foundation required before AI-assisted knowledge management.

Chapter 10
Governance, Standards, and Quality Control

From catching errors to preventing them. Building firm-level governance infrastructure that makes AI use auditable, supervised, and defensible.

Chapter 11
The 30-Day Pilot Plan

A structured, documented pilot framework for firms ready to test AI in a controlled, measurable way. Treats change as evaluation, not adoption.

Appendix G
AI Governance Phase 0 Assessment

The complete assessment framework included as an appendix. The book provides the conceptual foundation; the Phase 0 Assessment translates it into a scored, defensible evaluation.

Written for firm leaders,
not technologists.

This book does not assume technical knowledge. It assumes professional responsibility knowledge — which every attorney already has. The framework connects what you already know about ethics and risk to the new context of AI in legal practice.

👤
Solo Practitioners

You are making AI decisions alone, without a technology department. This book gives you a structured framework for evaluation that holds up under professional scrutiny.

👥
Managing Partners

You are responsible for firm-wide AI supervision under Rules 5.1 and 5.3. This book helps you build the governance infrastructure those rules require.

🏛
Office Administrators

You are often the first to evaluate new tools and the last to have a governance framework to evaluate them against. This book provides that framework.

Seven appendices of ready-to-use
governance tools and templates.

The book is a working resource, not just a read. Every appendix is designed to be used immediately in your firm.

Appendix A
AI Readiness Assessment

Scored self-assessment covering operational stability, knowledge management, confidentiality and risk, and team readiness. Printable scoring sheet included.

Appendix B
Data Classification Policy

Green / Yellow / Red data classification policy template with a printable data classification inventory worksheet ready for firm-specific completion.

Appendix C
ROI Calculators

Five calculator structures covering time savings, rework reduction, search time, intake efficiency, and billing cycle. Printable ROI worksheet included.

Appendix D
Prompt Library

Law firm-safe drafting and summarization prompt templates with usage guidance and a printable prompt library template for firm customization.

Appendix E
Knowledge Base Starter Kit

SOP templates, sample SOPs, suggested folder map, and a printable SOP creation worksheet for building firm knowledge infrastructure.

Appendix F
Pilot Kit

Roles template, training plan outline, metrics tracker, risk register template, and a 30-day pilot plan and tracking form for controlled AI evaluation.

Request Your Copy

The book is free for qualifying firms.
The assessment is free to start.

Request a complimentary copy of Practical AI for Small Law Firms, or go directly to the AI Governance Phase 0 Assessment — the formal evaluation tool the book is built around.