The short version
- The uses that pay back in this sector are First drafts from precedents, Document and bundle review and Inbox and meeting management.
- The ones that do not: Legal research as a source. — see why below.
- Start with one workflow, a 30-day pilot, and the data permissions fixed first.
- Governance is a one-page policy, not a project.
Law firms were early to try AI and early to get burned by it — usually by a confident citation that did not exist. The firms using it well in 2026 have narrowed it to three things it is genuinely good at and fenced off the one it is not. Here is that split.
What actually works
| Use |
What it does |
What it needs |
| First drafts from precedents |
Drafts letters, clauses and standard documents from your own precedent bank and the matter file |
Precedents in SharePoint; matter permissions correct |
| Document and bundle review |
Summarises discovery, contracts and long correspondence; finds the clause or the date |
Documents in the tenant; Copilot or an approved legal AI |
| Inbox and meeting management |
Drafts replies, summarises threads, produces attendance notes from Teams |
Teams transcription, with consent, where appropriate |
| Time-recording assistance |
Turns the day’s documents and calls into draft time entries |
Practice-management integration |
What does not work yet (and why)
- Legal research as a source. Hallucinated citations are a disciplinary problem, not an inconvenience. Draft from authorities you supply; verify everything.
- Consumer tools for anything client-related. Privilege and confidentiality cannot survive a free chat tool’s terms.
- Switching on firm-wide before permissions are fixed. Information barriers between matters are only as good as the folder permissions AI inherits.
What it costs, and what it gives back
Cost. Copilot or an approved legal AI for the fee-earners who draft and review most; the matter-permission audit, which most firms need regardless; training on verification. A five-lawyer firm is looking at a low five-figure annual commitment after the pilot, plus professional advice on the engagement-terms clause.
Return. First drafts of standard documents in minutes instead of an hour; long bundles summarised before the meeting rather than during it; attendance notes written by the end of the call. Firms we work with recover the licence cost in recorded-but-unbillable time within the first two months.
Risk if skipped. A junior uses a free tool on a client matter, and the firm finds out from the client.
The 90-day plan
- Weeks 1–3: Matter-permission audit; precedent bank into SharePoint; policy and terms-of-engagement clause with your own professional advice.
- Weeks 4–7: Pilot with two fee-earners on drafting and review; keep a log of outputs and corrections.
- Weeks 8–10: Decide which matters and practice areas are in scope; train on verification, not generation.
- Weeks 11–13: Licences per role; quarterly review; a named partner owns the policy.
Governance, in one page
Before any of this: a one-page AI policy saying which tools are approved, what may never be pasted into them (client identifiers, health, financial and legal detail unless the tool is inside your Microsoft tenant), and who owns it. We cover the page itself in a separate article, and Be AI aligns the work to ISO/IEC 42001 and the NIST AI RMF so the answer to “is this governed?” is yes.
Questions people ask
Is it safe to use AI with privileged client material?
Only inside tools bound to your own tenant with enterprise terms, where prompts and documents are not used for training and access follows your matter permissions. Consumer tools are not safe for privileged material and most firms now prohibit them in policy.
Can AI do legal research for NZ law?
Not reliably as a source. General models are weak on New Zealand case law and legislation and will invent citations. Use AI to summarise and draft from authorities you supply from a proper legal database, and verify every citation.
Do we need to tell clients we use AI?
The Law Societyu2019s guidance expects practitioners to remain responsible for the work and to consider disclosure where AI materially contributes. Most firms now add a short clause to terms of engagement. Take your own professional advice on wording.
What about matter confidentiality between partners?
This is the permissions problem again: Copilot surfaces what a user can already open. Matter-level permissions in SharePoint or your practice system must be right before AI is switched on, or information barriers fail quietly.