This article is for informational purposes only and does not constitute legal advice. You should consult with a qualified professional before making any decisions about the use of AI in your law firm.
What Should My Law Firm's AI Governance Framework Include?
A law firm’s AI framework should name approved uses, confidentiality boundaries, matter-level supervision, supplier checks, incident handling and the records needed to explain a decision.
For each matter-related use, identify the information entered, the reviewer and the decision supported by the output. Keep the supplier terms and review record available so the firm can explain its use without relying on a general IT policy alone.
The Goal of AI Governance: Beyond Risk Mitigation
Define the tasks a lawyer may use AI for, which client information is permitted and the checks required before the work is relied on. Measure review effort and output quality for a selected workflow before claiming a productivity gain.
Give staff a clear route for uncertain outputs, unapproved tools and suspected data exposure.
The Pattrn Protocol: A Blueprint for AI Governance
The Pattrn Protocol is presented here as a five-area checklist to discuss and adapt to the firm. It is not a recognised regulatory standard or proof that every law firm's duties have been met.
| Pillar |
Key Components |
| 1. Leadership & Accountability |
Oversight forum: Use a forum proportionate to the firm's AI uses, with partner, IT, compliance and HR input where relevant.
Named owner: Record the AI-use decision owner and matter-level supervision responsibilities. Confirm any COLP or other professional responsibilities separately; appointing an AI owner does not itself transfer them.
Leadership Reporting: Agree the uses, exceptions and incidents reported, who receives them and which decisions are escalated. |
| 2. Risk Management |
AI Risk Register: Record approved uses, assessed risks, owners and unresolved controls, including client confidentiality and output bias.
Supplier Review: Keep the contract, data flow, retention and training terms, access controls and task-specific test evidence supporting approval.
Incident Response: Name the route for suspected data exposure or inaccurate legal output, the decision owner and the records needed for investigation. |
| 3. Policies & Procedures |
AI Acceptable Use Policy: A clear, concise policy that defines the rules of engagement for using AI tools.
Data Governance Policy: A policy that classifies data and defines how it can be used with AI tools, with a particular focus on protecting client confidential information.
AI Procurement Policy: A policy that governs the acquisition of new AI tools, ensuring they are properly vetted before being introduced into the firm. |
| 4. Training & Education |
AI-use Training: Plan training for the staff and tasks covered by the firm's policy, confirming applicable training obligations separately.
Role-Specific Practice: Use examples to check whether lawyers can verify sources and citations, identify missing context, handle confidential information and escalate uncertain output. |
| 5. Monitoring & Auditing |
Technical Monitoring: The use of technology to monitor the use of AI tools and detect potential policy violations or security threats.
Regular Audits: Periodic audits of AI usage to ensure compliance with the firm's policies and to identify emerging risks.
Feedback Loop: A process for gathering feedback from users on the effectiveness of the firm's AI tools and policies. |
This is Not a One-Time Project
Assign an owner and review date to the register, policies, supplier checks and training material.
Agree a review schedule and event triggers, including a new use, a supplier-term change or an incident. Record who may approve the change, what review is required and how staff are told about revised rules.
The Bottom Line: Governance is the Price of Admission
For a selected matter workflow, compare the time and review effort before and during a controlled pilot. Record errors and unresolved confidentiality or source-checking gaps alongside any benefit.
Use those findings to decide whether the proposed use should expand, remain bounded or stop.
Before expansion, confirm the relevant matter-level duties and assign any remaining control gaps to an owner.
Take the Next Step
Bring an example matter workflow, the approved-use register and the supplier terms to a scope discussion. Confirm the current offer, deliverables and fee before commissioning support through the links below.
Book a Discovery Call → or learn more about the AI Audit.
Need a safer AI route for your firm?
Assess a proposed use of Claude, ChatGPT or Copilot against the firm's client-confidentiality, professional-liability and applicable SRA requirements. Record the data and review conditions and any unresolved risk before use.
