Written by Kiwi Dynamics Team 1Structuring new enquiries into matter records
When a new enquiry comes in by phone, email, or a web form, someone has to turn scattered information into a structured matter record, names, contact details, the nature of the issue. AI can do that structuring the moment the enquiry lands, so the fee earner opens a clean file instead of a raw transcript to sort through. On a busy week that alone can save a couple of hours of re-typing.
2Running the initial conflict search
The initial conflict search, checking new names and entities against the firm's full matter history, is exhaustive and literal, exactly the kind of task that benefits from a machine's patience. AI can run that search automatically and flag anything that needs a closer look, rather than it waiting in a queue for a spare moment. The final call on any flagged conflict still sits with a lawyer.
3Drafting the engagement letter
Engagement letters follow a known structure, scope of work, fees, terms, but still take real time to draft properly for each new matter. AI can produce a first draft from the intake details and the firm's standard terms, ready for a lawyer to adjust and send. What used to be a template hunt and a rewrite becomes a five-minute check.
4Drafting routine correspondence
Routine correspondence, chasing a document, confirming a hearing date, answering a common client question, adds up to a surprising share of a fee earner's week. AI can draft that correspondence in the firm's voice from the matter file, and a lawyer reviews before it sends, same as they would with a draft from a junior. The judgement stays human, the typing does not have to.
5Generating standard agreements and notices
Standard agreements and notices that a firm produces often enough to have a template for are still, in practice, rebuilt by hand each time because updating a template takes as long as just writing it. AI can generate the first version directly from the matter's specifics, leaving review as the only manual step. This is often where firms see the clearest time savings first.
6Writing client status updates
Writing a client a clear update on where their matter stands means stopping, checking the file, and putting it in plain language, which is exactly the kind of task that gets deprioritised under deadline pressure. AI can draft that update from the current file state, so a lawyer reviews and sends rather than starting from a blank page. Clients get more consistent updates as a result, not fewer.
7Reconstructing accurate time entries
Accurate time recording depends on remembering what happened at 9am by the time it is written down at 6pm, which is a hard thing for anyone to do well every day. AI can reconstruct a draft time entry from calendar activity, documents touched, and messages sent, for a lawyer to confirm before it is billed. Firms that automate this typically recover time that was being worked but never recorded.
8Summarizing client calls and meetings
Client calls and meetings generate information that needs to end up somewhere reliable, not just in someone's memory. AI can turn a recording or voice memo into a structured summary with clear action items while the conversation is still fresh, with a person checking it over afterward. Fewer details get lost between the call and the file note.
9Chasing outstanding client actions
Outstanding client actions, a signed form, a requested document, a decision the client owes the firm, are one of the most common reasons a matter quietly stalls. AI can track what is owed, by whom, and draft the follow-up so a lawyer just approves and sends it, rather than someone having to remember to chase it manually. Matters move again without extra effort from the team.
10Drafting invoice narratives
Invoice narratives are supposed to make the bill make sense to the client, but under time pressure they often end up thin or generic. AI can draft a clear narrative from the underlying time entries for a lawyer to check before the invoice goes out. Clients understand what they are paying for, and fewer invoices get questioned.
Every task on this list has the same shape: repetitive, well-defined, and finished off by a lawyer's review, never sent or filed on AI's judgement alone. This is the kind of production AI Kiwi Dynamics builds for NZ and AU firms, scoped to one real task at a time and measured in hours actually given back.