Semantic search (RAG) for law firms.
Built for the law firm who's already tried the off-the-shelf option and bounced off it.
What semantic search (RAG) actually does
Search that understands intent, not just keywords. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
Intake, file notes and document review sped up, with client information protected under the Privacy Act 2020 and kept in New Zealand.
The two or three things that decide whether this works for law firms.
Law firms bill for judgement, but a huge share of the week still goes on intake, document review, and status updates.
New matter intake and routine client updates are the two places firms lose the most billable time to admin.
On the tools or running at scale, the admin still eats the week :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
How Kiwi Dynamics works
We find the one workflow costing law firms the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Small team.
Real systems.
Zero fluff.
What you get
We'd call the engagement a success when law firms are using the system without thinking about us.
- Indexes Drive, SharePoint, Notion, Slack, your CRM
- Returns answers with source links - no hallucinations
- Permissioned so staff only see what they should
- Re-indexes nightly so results stay fresh
- No annual contracts
- No shelfware or licences you do not use
Good questions, answered
What does semantic search (RAG) cost for a law firm?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most law firms. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
Has this actually shipped for a real law firm?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
Can you work to the NZISM?
The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.
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