A small commercial law firm in Auckland CBD with 2 partners and a legal executive, specialising in commercial leasing, franchise agreements, and business sales. Their typical clients are SMB owners navigating property leases, purchasing businesses, or expanding through franchise models. They kept losing pitches to mid-size firms who could assign 3-4 lawyers to a matter.
Competing Against Bigger Firms
Clients regularly chose larger practices for complex work. Not because of quality, but because those firms could turn around a 50-page lease review or due diligence pack in 2 days while the boutique firm needed a full week.
Losing 3-4 quality clients per quarter to firms with deeper bench strength.
Lease Review Taking Too Long
Auckland commercial leases are dense. Seismic clauses, make-good provisions, assignment restrictions, rent review mechanisms. Each review consumed 6-10 hours of partner time, manually checking every clause against the client's commercial interests.
Partners spending 50% of their week on document review instead of advising clients or growing the practice.
Regulatory Complexity Across Matters
Business sale agreements required checking Commerce Act implications, Fair Trading Act compliance, employment transfer obligations under ERA, and sometimes OIO requirements. Each one sits across different legislation.
Hours spent cross-referencing multiple statutes, with risk of missing an obligation buried in a schedule or regulation.
Fixed-Fee Work Unprofitable
SMB clients wanted price certainty but the firm couldn't offer fixed fees without risking significant losses on complex matters. Every "simple" lease review could spiral into 12+ hours.
Stuck on hourly billing, making them unattractive to cost-conscious SMB clients who preferred fixed quotes.
We built an AI system tailored to how the partners actually work. Their risk assessment style, their preferred clause structures, and the specific NZ legislative frameworks they operate in.
Lease Analysis System
- Audited the firm's most common lease types (retail, office, industrial, hospitality)
- Built AI analysis engine covering 40+ standard clause categories including seismic, make-good, assignment, subletting, and rent review
- Configured risk ratings aligned to each partner's assessment approach (one partner more conservative on landlord obligations, the other more focused on exit flexibility)
- Created output format matching their existing client reporting template
Compliance & Regulatory Module
- Mapped key compliance checkpoints for business sales under NZ law
- Built parallel analysis system: AI checks Commerce Act thresholds, employee transfer obligations, restraint of trade validity, and OIO screening simultaneously
- Configured confidence scoring so anything below high confidence gets flagged for partner review with the specific legislative reference
- Set up structured due diligence checklists for business sale agreements
Advisory & Drafting Assistant
- Trained system on the firm's memo and advice letter formats
- Built comparison engine for franchise disclosure documents against industry benchmarks
- Created client communication drafts calibrated to the firm's tone (direct, practical, avoiding unnecessary legalese)
- Integrated with their document management system for seamless file handling
Testing & Go-Live
- Ran system against 15 previously completed matters to validate output quality
- Partners reviewed and corrected outputs, feeding adjustments back into the system
- Legal executive trained on system operation and output review process
- Went live on new matters with partner sign-off required on all outputs
“We had a client looking at buying a hospitality business with a complicated lease assignment. The AI system flagged a make-good liability buried in a schedule that could have been missed on a manual read-through under time pressure. That one catch justified the entire system. We renegotiated the terms before settlement.”
After 90 Days
What used to take a full day of partner time now arrives as a first-pass analysis ready for review
Partners taking on work they previously had to turn away due to capacity constraints
Predictable AI processing time made it possible to offer fixed-fee lease reviews for the first time
Additional outcomes
- Able to offer competitive fixed-fee lease review packages, attracting SMB clients who previously went to larger firms
- Won a franchise group client that had been with a national firm, based on faster turnaround
- Partners redirected time from document review to client advisory and business development