Getting started

Solos and small law firms

QuickStart: You need something practical for peace of mind.

AI + Data Snapshot

A time-efficient review of how your firm is using AI — including the tools people may be using quietly without a formal policy.

  1. Current AI tools in use

  2. Informal or “shadow AI” use

  3. Where sensitive data touches AI

  4. Key workflows using AI

  5. Highest-risk points in the process

Risk Review

I identify the biggest AI risks in plain English — not tech jargon.

Confidentiality risks

  1. Data exposure risks

  2. Accuracy and hallucination risks

  3. Workflow leakage

  4. Version control issues

  5. Basic vendor/tool concerns

Safeguards

You receive practical fixes you can use right away.

  1. What to stop doing now

  2. What tools need review

  3. What settings need changing

  4. What data should stay out of AI

  5. What needs a human review step

Solo attorneys are not immune from AI risk — they may be more exposed because there is often no IT department, no compliance team, and no second set of eyes reviewing how tools are being used. The goal is to give solo attorneys a simple system so they can use AI confidently without gambling with client data or their law license.

This package helps law firms address core ABA Model Rule issues raised by AI use, including competence, confidentiality, communication, fees, supervision, and nonlawyer assistance under Rules 1.1, 1.4, 1.5, 1.6, 5.1, and 5.3. It is designed to help firms create clear rules before AI use creates ethics, client-data, billing, or supervision problems.

Medium sized law firms

AI Assessment for your growing firm.

A focused review of how AI is being used across attorneys, staff, practice groups, and firm systems — including tools adopted by the firm and tools people may be using on their own.

  1. AI tools used by attorneys, staff, and departments

  2. Shadow AI use across the firm

  3. Practice areas handling sensitive data

  4. AI use in drafting, research, intake, discovery, email, and marketing

  5. Where client data may be moving outside firm-approved systems

Risk Review

I identify the biggest AI risks for a growing firm:

  1. Confidentiality and privilege risks

  2. Vendor and sub-processor risks

  3. Inconsistent AI use across teams

  4. Hallucination and citation risks

  5. Litigation hold and discovery risks

  6. Staff supervision issues

  7. Client disclosure and consent gaps

Safeguards
  1. Stop unsafe AI use immediately

  2. Review current AI tools by risk level

  3. Change weak privacy and retention settings

  4. Keep confidential data out of unapproved tools

  5. Add attorney review before anything is sent, filed, or relied on

  6. Set stricter rules for high-risk practice areas

Mid-sized law firms do not just need an AI policy. They need visibility, rules, training, and a system leadership can actually manage. AI may already be moving through drafting, research, intake, discovery, marketing, billing, and court filings. This package helps firm leadership identify where AI is being used, control high-risk workflows, protect client data, train attorneys and staff, and create a governance system before scattered AI use becomes a firm-wide problem.

This package helps mid-sized law firms address core professional responsibility issues raised by AI use, including competence, confidentiality, client communication, fees and billing, supervision, nonlawyer assistance, and court-facing accuracy under ABA Model Rules 1.1, 1.4, 1.5, 1.6, 3.3, 5.1, and 5.3.

Large law firms

Comprehensive AI Governance Package

Deeper Review

A deeper review of how AI is being used across the firm.

  1. Current AI tools across the firm

  2. Shadow AI use by attorneys and staff

  3. High-risk practice areas

  4. Sensitive data workflows

  5. Vendor and tool gaps

  6. Supervision and review issues

Large Law Firms / AI Governance Leadership

Large law firms need more than an AI policy. They need firm-wide governance across practice groups, offices, attorneys, staff, vendors, litigation, billing, marketing, and client work. I help firms create practical AI rules, tool approval processes, vendor review systems, human-review standards, data-use safeguards, training, and incident response procedures. I can also serve as an outside advisor to the firm’s AI Committee or as a Fractional AI Ethics & Governance Officer.

This work helps address ABA Model Rule issues involving competence, confidentiality, client communication, fees, candor to the tribunal, supervision, and nonlawyer assistance under Rules 1.1, 1.4, 1.5, 1.6, 3.3, 5.1, and 5.3. The goal is to help large firms use AI responsibly, protect client data, supervise AI output, and create a clear record that the firm acted thoughtfully before problems arise.

AI Policy + Rules of the Road

A written AI policy your firm can actually use.

  1. Approved AI tools

  2. Prohibited AI tools

  3. Safe vs. unsafe AI use

  4. Rules for confidential data

  5. Rules for privileged information

  6. Human review requirements

  7. Staff and attorney responsibilities

Firmwide Safeguards

A structured set of controls to help the firm use AI consistently.

  1. Approved and prohibited tools

  2. Rules for confidential and privileged data

  3. Review steps for AI-assisted work

  4. Vendor review requirements

  5. Practice-group-specific restrictions

  6. Client disclosure language

  7. Internal reporting process for AI mistakes

  8. Documentation standards

  9. Staff and attorney training

  10. Ongoing review and governance process

Disclaimer (No Attorney–Client Relationship): Please note that contacting AI Legal Strategist, submitting an inquiry, or communicating with us through our website, email, phone, or any other channel does not create an attorney–client relationship. An attorney–client relationship is formed only if (1) we confirm in writing that we represent you and (2) you and the responsible attorney execute an engagement agreement. Do not send confidential or time-sensitive information unless and until we have confirmed representation in writing.

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