Your AI foundation for professional services.
More billables, less admin.
Precedents found in seconds, not hours. First drafts written before your team opens the template. Your data, your cloud, live in weeks.
6 weeks
time to production
99.5%
query accuracy
5-8 hrs
saved per fee-earner/week
NZ-hosted
your cloud, your data
The challenge
Professional services runs on expertise. Expertise is buried in admin.
NZ/AU professional services firms face fee compression, a talent war, and clients expecting more for less. Every hour on admin is an hour not billed.
Your best people spend hours searching for knowledge
Fee-earners spend 5-8 hours per week searching for precedents, past advice, and internal know-how across iManage, SharePoint, and email. The answer exists somewhere in your firm. Finding it is the problem.
5-8 hrsper fee-earner per week on knowledge search
Professional services productivity benchmark
First drafts consume billable time
Engagement letters, advice memos, audit reports, compliance opinions. 30-40% of billable time goes to first-draft production. Your professionals copy-paste from templates when AI could draft from context.
30-40%of billable time on first-draft production
NZ/AU professional services benchmark
Time under-recording erodes revenue
Professionals forget entries, round down, or batch-record inaccurately days later. Under-recording costs NZ/AU firms 10-15% of recoverable revenue. That's real money walking out the door every week.
10-15%of recoverable revenue lost to under-recording
NZ/AU time recording analysis
Institutional knowledge leaves with people
Your senior partner retires. Your best associate moves to Sydney. Their knowledge of how the firm works, what the client expects, and where the precedents are goes with them. In a tight talent market, that knowledge is irreplaceable.
$50-100Krecoverable per team/yr through knowledge capture
Enterprise knowledge recovery benchmark
The gap
You've probably given everyone Copilot already.
Your team uses ChatGPT for drafting. Someone set up a SharePoint search that nobody trusts. A vendor promised “AI-powered knowledge management” and delivered a chatbot that couldn't find last week's engagement letter. You're not behind. Most mid-tier firms are in the same place.
The problem was never the AI.
It was the infrastructure underneath. Something that connects to your DMS, understands your practice areas, and gets smarter as your team uses it.
That's what we build.
What changes
From searching and drafting to reviewing and approving.
Hours searching for precedents
Fee-earners spend 5-8 hours per week searching for precedents
Instant search
AI finds relevant precedents, advice, and know-how in seconds
Slow first drafts
First drafts take 30-40% of billable time
AI-drafted
AI drafts engagement letters and advice memos. Your team reviews and refines.
Manual contract review
Contract review is manual and inconsistent
Auto-flagged
AI flags risk indicators, missing clauses, and compliance issues automatically
Manual partner packs
Partner meeting packs assembled manually over days
Auto-assembled
Structured summaries with decisions and actions, generated in minutes
Knowledge leaves with partners
Institutional knowledge leaves when partners retire
Platform captures
Platform captures expertise, available to every team member
Vendor sprawl
Each AI tool is a separate subscription or pilot
One platform
One platform, shared intelligence, gets smarter over time
This is what AI-assisted professional services looks like. Your fee-earners focus on advice and relationships, not low-value admin.
Your professional services platform
Start with best practice. Tailor to your firm.
Your platform begins with best-practice capability, then gets tailored to your organisation. Your practice areas, your precedents, your cloud.
Intelligent Knowledge
FoundationYour firm's know-how, searchable by every fee-earner.
AI Knowledge Base
Precedents and know-how found in seconds
Past advice, engagement letters, technical standards. Searchable instantly across iManage and SharePoint. 99.5% accuracy.
Intelligent Chat
Practice area queries answered instantly
A contextual assistant for fee-earners and support staff. Understands your practice areas and engagement protocols.
Drafting & Review
The two highest-time-cost activities for fee-earners.
Communication Drafting
First drafts in minutes, not hours
Drafts engagement letters, advice memos, client updates from context. Your team reviews and refines.
Document & Contract Review
Risk identified in minutes
Reviews contracts for risk indicators, missing clauses, and compliance issues. Structured brief for professional review.
Talent & Governance
People intelligence and partner meeting automation.
Talent Intelligence
Better hiring, faster onboarding
CV matching, skill gap analysis, CPD tracking. Supports high-volume recruitment for consulting and engineering firms.
Governance & Board Reporting
Executive summaries in minutes
Distils partner meeting materials into structured summaries with decisions and actions. Tracks across meetings.
Your Logo
Dashboard
Queries Today
186
Accuracy
99.2%
Hours Recovered
34
Pending Review
5
Recent Activity
Knowledge Base Found precedent for M&A due diligence
3m ago
Drafting Produced engagement letter for Meridian Energy
8m ago
Contract Review Flagged 3 clauses in vendor agreement
14m ago
Talent Matched 12 CVs for senior associate role
22m ago
Context: Employment Law · Restructuring
What are the notice requirements for a restructuring affecting 15 staff?
Under the Employment Relations Act 2000, a restructuring affecting 15 employees requires: good faith consultation before final decisions, genuine consideration of alternatives to redundancy, clear definition of affected employees, and individual meetings with each affected person. There is no statutory minimum notice period for redundancy - check each employment agreement.
What timeframes should we allow for consultation?
Best practice is 2-4 weeks for genuine consultation. The ERA requires employers to provide affected employees with relevant information, allow reasonable time to consider and respond, and genuinely consider feedback before making final decisions. Courts have found 48-hour consultation periods inadequate for restructures of this scale.
Engagement Letter - Draft
AI-draftedClient
Meridian Energy Ltd
Matter
Employment restructure advice
Scope
• Review proposed restructure plan
• Advise on ERA obligations and process
• Draft consultation documentation
Fee Est.
$45,000-65,000 excl GST + disbursements
Partner
K. Thompson
Drafted from client brief and 3 prior Meridian engagements. Partner review required.
Approve & SendEditRegenerate
Contract Review - Vendor Agreement
3 flagsRisk Summary
Document
Software Licence Agreement
Counterparty
Datacom NZ Ltd
Term
36 months, auto-renew
Value
$420K + GST
⚠ Non-standard limitation of liability clause (capped at 1x annual fees). Market standard is 2-5x.
⚠ IP assignment clause broader than scope of engagement.
No data sovereignty clause - recommend adding for NZ-hosted requirement.
Accept AllEdit FlagsEscalate to Partner
Senior Associate - Corporate
12 matchesApplications
47
Shortlisted
12
Interviewed
4
A. Chen - 8yr PQE, M&A
Score: 92
R. Patel - 6yr PQE, Banking
Score: 87
M. Williams - 7yr PQE, PE
Score: 84
J. Lee - 5yr PQE, TMT
Score: 78
Scored against 6 criteria: PQE, practice area, deal experience, client book, cultural fit, CPD record.
Partner Meeting Pack - Q1 Summary
AI-structuredFinancial Performance
Revenue +8% YoY · Utilisation 78% · WIP $2.1M
Key Decisions
• Lateral hire approved - Senior Associate, Corporate
• Office lease renewal - 3yr term, Quay St
Action Items
• Finalise lateral hire offer (K. Thompson, by 15 Apr)
• Review Q2 budget forecast (CFO, by 20 Apr)
• Client satisfaction survey results (BD, by 30 Apr)
Summarised from 28 pages. Review required before distribution.
Organisation
Company name
Your Company Ltd
Team members
80 / 100 active
Infrastructure
Cloud region
NZ (Auckland)
Hosting
Client Cloud (AWS)
Default model
GPT-5 Mini ▾
Security
Audit logging
Auto-processing
SSO enabled
See it working
Paste meeting notes. Watch them get structured.
Five of 30+ working AI modules from the RIVER platform, running live. Your team reviews structured output instead of writing from scratch.
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The Impact
Results that compound.
We partner with our clients to deliver results that matter.
0 weeks
avg. time to production
For initial AI release.
0%
extraction accuracy
On production deployments.
0+
AI modules in production
Purpose-built for enterprise operations.
0K+
files in largest RAG
Real knowledge base, real scale.
Packages
Choose how to start. Scale when you're ready.
Starter
Prove the value with one module
From $40K
setup
Then $4K
/mo
(from month 4)
6-8 weeks to production
Foundation (Knowledge Base + AI Chat)
Communication Drafting module
NZ-hosted, RIVER managed
One module, one outcome. Prove AI works for your fee-earners, then expand.
Recommended
Growth
Your complete AI operations layer
From $80K
setup
Then $8K
/mo
(from month 4)
10-14 weeks to production
Foundation (Knowledge Base + AI Chat)
Drafting, Document Review, and Governance modules
1 data integration (DMS or practice management)
Cross-module intelligence sharing
Team onboarding and training
NZ-hosted, RIVER or Your Cloud
Complete coverage across drafting, review, and governance. Connected and ready.
Custom
Talent, compliance, and beyond
Pricing scoped during discovery based on your requirements and integration complexity.
Talent intelligence and recruitment AI
iManage or DMS deep integration
AML/CFT compliance workflows
Multi-office and practice group configurations
Need talent AI, iManage integration, or AML compliance automation? We scope the platform around your existing infrastructure.
For the cost of one senior hire, your entire firm gets AI-powered tools. Every module you add compounds value.
NZ-hosted infrastructure (your cloud - AWS or Azure - or RIVER-managed). You own your data and workflows, with code access available. Pricing based on platform complexity and team size, scoped during discovery.
Common questions
What you need to know. Before your first conversation.
Latest Thinking
Ideas from the field.
Enterprise AI insights, guides, and research, from a team who ships it.
Trusted by teams that scale.
We partner with our clients for meaningful impact.