ChatGPT, Claude and Copilot for Law Firms: Governance Differences That Matter

Law firms often discuss AI tools as if they are one category.

In practice, ChatGPT, Claude, Microsoft Copilot, Gemini, legal research tools, transcription tools, and AI features inside practice software create different governance questions.

The useful leadership question is not simply whether an AI tool is allowed. It is what data the tool can access, what the vendor can retain, how outputs are reviewed, and whether the firm can explain the decision.

1. Open AI Tools

Open AI tools are commonly used through individual or team accounts.

Governance questions:
- Are staff using personal accounts or firm-managed accounts?
- Is client or confidential information prohibited?
- Are training or product-improvement settings understood?
- Is prompt and output history visible to administrators?
- Can the firm remove user access when someone leaves?
- Are paid team settings materially different from free accounts?

Practical rule: do not allow sensitive firm or client information unless the tool, account type, settings, and use case have been reviewed and approved.

2. Microsoft Copilot

Copilot is different because it sits inside the Microsoft 365 environment.

It can help with email, meetings, documents, Teams content, and search-like experiences. That creates productivity value, but also makes existing access decisions more important.

Governance questions:
- Which users are licensed?
- Which matter and client repositories can those users access?
- Are old Teams and SharePoint sites overshared?
- Are external sharing links and guest accounts reviewed?
- Are sensitivity labels and retention settings understood?
- Are staff clear on approved Copilot use cases?

Practical rule: review high-risk Microsoft 365 content and permissions before expanding Copilot beyond a controlled group.

3. Claude, ChatGPT, Gemini And Similar Assistants

These tools are often used for drafting, summarising, brainstorming, research support, and analysis.

The main governance issue is usually what users paste or upload.

For law firms, policy should cover:
- Client and matter identifiers
- Privileged or confidential material
- Draft advice and correspondence
- Uploaded documents and screenshots
- Meeting notes and transcripts
- Output quality and review obligations

Practical rule: define safe use cases for non-sensitive work and require approval for anything involving client or matter material.

4. Specialist Legal AI Tools

Legal research, document review, drafting, and matter-management tools may offer more relevant features and sector-specific terms, but they still need governance review.

Ask:
- What data is processed and retained?
- Is client data used to improve the product?
- Where is information stored?
- What controls exist for users, matters, workspaces, and exports?
- How are outputs checked before use?
- What contractual restrictions apply to the matter or client?

Practical rule: do not assume a legal-sector tool solves governance. Treat it as a vendor, workflow, and review decision.

5. Transcription And Meeting AI

Meeting assistants can capture sensitive discussions quickly.

Law firms should decide:
- Which meetings can be recorded or summarised
- Whether client consent or internal approval is needed
- Where recordings, transcripts, and summaries are stored
- Who can access them
- How long they are retained
- How errors are corrected

Practical rule: meeting AI should have its own rules, not be hidden inside a general AI policy.

6. A Simple Decision Matrix

Use four questions before approving a tool or use case:

1. Data: what firm, client, personal, or confidential information enters the tool?
2. Access: who can see prompts, files, outputs, history, and stored content?
3. Output: could the output influence client work, risk decisions, or professional judgement?
4. Evidence: can the firm show who approved the use and how the output was reviewed?

If the answer is unclear, treat the use case as restricted until reviewed.

7. What Good Governance Looks Like

Good AI governance for law firms is practical and visible.

It includes:
- Approved tool list
- Restricted and prohibited use cases
- Client-data boundaries
- Copilot permission review
- Vendor setting notes
- Human review rules
- Exception and incident process
- Leadership reporting

The aim is not to stop useful AI adoption. It is to let the firm adopt AI with clear boundaries, accountable review, and evidence that leaders can inspect.

For a structured starting point, download the Law Firm AI Governance Diagnostic.

Contact Summit Guard to discuss practical AI governance for your firm.