The Challenge
Quddus Pourshafie runs FutureLab.Legal, an advisory firm that helps law firms, legal tech companies and regulators modernize. From that vantage point one expensive problem kept surfacing on the tenant's side of the table: commercial leases are long, dense, and full of clauses whose cost only becomes clear years later, at exit.
The fix was already sketched out. LeaseScanner.au would read a commercial lease and flag the risky clauses, the make-good obligations, personal guarantees, demolition rights and uncapped outgoings that a busy operator signs without fully reading.
The concept was the easy part. What was missing was proof:
- A way to get from prototype to something real users could actually try
- Fast enough to test the idea while it was still just an idea
- Cheap enough that validating it did not require an infrastructure budget
- Simple enough that a lawyer or a small business owner could use it without a walkthrough
"I wanted to test a real idea fast, without burning months or a big budget on infrastructure."
Building the deployment layer first would have meant months of work before a single lawyer could form an opinion.
The Solution
Quddus found Pickaxe during the rapid prototyping phase of LeaseScanner, through LLM-enabled search rather than an ad or a referral.
"Pickaxe was the best offering to leverage LLMs in a constrained, simplified user environment."
That constraint was the requirement, not a compromise. A lease review tool cannot be an open-ended chat window. It needs a narrow, guided path: upload the lease, get the report. Pickaxe supplied that shape instead of it having to be built.
For a business incubating AI products, that made Pickaxe the whole deployment layer early on. It was used to:
- Get a working version of LeaseScanner live
- Put it in front of warm contacts and prospects for feedback
- Iterate the product against real reactions rather than assumptions
"It let me move from 'concept' to 'live demo in someone's hands' in days, not months."
The Results
Real leases went through it. Commercial lawyers, tenant representatives, accountants and small business owners ran actual (redacted) leases through the tool and said what they thought of the output.
"The consistent reaction from lawyers, public statutory agencies, national membership associations, and PE firms has been surprise at the speed."
What surprised them:
- A first-pass lease review cut down to a few minutes
- A clause-by-clause, plain-English PDF report at the end of it
- Consistency and accuracy across documents, especially the ability to surface specific context inside long, complicated 50-plus page contracts
For people who do this work manually, hours at a time, the speed lands immediately. LeaseScanner.au is now live and priced per scan, with a white-label option for legal, accounting, real estate and membership organizations.
Why It Works
This is worth separating from the usual no-code story. Quddus is not a non-technical founder who needed hand-holding. This is an operator compressing the distance between an idea and a verdict from the market.
- Constrained by design: a simple, bounded user environment is the right shape for a serious professional tool, not a lesser version of one
- Deployment, not just building: the tool was live and shareable, not a demo sitting on a laptop
- Days instead of months: feedback arrived while the idea was still worth changing
- Cheap enough to be wrong: validation did not require committing an infrastructure budget up front
"It's the fastest way to turn a sharp idea into something real people can actually use."
The Takeaway
LeaseScanner.au exists because the cost of testing it was low enough to justify trying.
If you are:
- Incubating AI products and need each one validated before it earns real investment
- Sitting on a domain-specific idea that only expert users can judge
- Trying to reach a live demo before the window on the idea closes
Quddus's approach is worth borrowing. Build the constrained version, put it in front of the people whose reaction actually decides the thing, and let that reaction tell you what to build next.


