Why does AI disappoint so many small firms?
Because the context it needs is scattered across inboxes, folders and memory. Ask an AI for a matter status and it can only see the fragments you give it. The result sounds fluent and is often incomplete. The problem is not the model; it is the missing structure.
What does an AI-ready practice look like?
| Ingredient | Why AI needs it |
|---|---|
| Matter pages with current summaries | The starting context for any matter task |
| Deadlines as records | Accurate digests and reminders |
| Actions with owners and status | Real next steps, not guesses |
| Time recorded by matter | Reliable reporting and billing drafts |
| Classified evidence and documents | Grounded summaries and chronologies |
| Captured research | Answers from your own know-how |
Which AI uses should a small firm start with?
- Summarising a matter's history for an internal review.
- Drafting a weekly client update for the lawyer to edit.
- Compiling a deadlines and overdue-actions digest.
- Turning attendance notes into action lists.
- Tagging and summarising research notes.
What rules should govern AI use?
- Confidentiality: know where data goes and which tools may process client information.
- Verification: every citation, date and statement of law is checked by a lawyer.
- Supervision: AI output is treated like work from a junior colleague.
- Disclosure: follow your rules and any court requirements on AI use.
- Records: keep a short register of approved tools and uses.
How does this work in Notion?
Notion AI and Custom Agents can read your matters, deadlines and research directly when the workspace is structured, and the MatterOS prompt pack provides prompts to summarise a matter, draft a client update or build a next-steps checklist. The same prompts work with other assistants you use.
What is the difference structure makes to an AI output?
| Ask the AI | Unstructured practice | Structured practice |
|---|---|---|
| Summarise this matter | Guesses from a few pasted emails | Uses the summary, deadlines, actions and recent notes |
| What's due this week? | Cannot know | Lists recorded deadlines and owners |
| Draft a client update | Generic text | Reflects this week's actual actions and requests |
| Have we researched this before? | No idea | Finds the linked research note and its date |
Which AI mistakes should small firms avoid?
- Starting with client-facing uses before internal ones.
- Pasting confidential material into tools whose data handling you have not reviewed.
- Trusting citations or dates without checking them.
- Expecting AI to fix missing records.
- No written policy, so every lawyer makes different choices.
Frequently asked questions
- Should small law firms use AI?
- Yes, for internal drafting, summaries and digests with human review, once matters are structured and confidentiality rules are clear.
- Why does AI give wrong answers about my matters?
- Usually because the matter information is incomplete or scattered; AI can only use what is recorded.
- Is it safe to use AI with client data?
- It depends on the tool's data handling and your obligations. Review the vendor's security practices and your rules before use.
- What is the first AI use case for a law firm?
- A weekly internal digest of deadlines and overdue actions is low-risk and immediately useful.
- Does MatterOS include AI?
- MatterOS includes an AI prompt pack that works with Notion AI, Claude, ChatGPT or any assistant.
Sources
About the author
Raghav Handa trained as a lawyer, then spent years building legal technology, from enterprise legal products to custom systems for law firms.
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