If Australia's Biggest Law Firms Can Turn 8 Weeks Into 24 Hours, What's the Equivalent in Your Business?

Clayton Utz used AI to process 110,000 documents in 24 hours — a job that normally takes six to eight weeks. Hypajump is already delivering comparable results for small businesses, turning two-day manual document jobs into five-minute processes without a big-firm AI budget.

TL;DR

• The AFR reported this week that Clayton Utz processed 110,000 documents in 24 hours using AI — a job that would normally take six to eight weeks manually
• This isn't surprising. It's exactly what AI does well: high-volume, repetitive document work that eats senior people's time
• Large law firms have dedicated AI departments and big budgets to build these tools. Most Australian SMBs don't
• Hypajump is already compressing two-day manual jobs into five minutes for small businesses — running 30 or more times a month
• The first AI job a business does almost always uncovers three more they didn't know could be automated
• You don't need a Clayton Utz budget to get Clayton Utz results

The Number That Stopped Us

The AFR reported this week that Australia's biggest law firms are using AI in practice, not just in theory — publishing case studies on exactly how.

The Clayton Utz number stood out. In a recent Supreme Court of Victoria class action, the discovery process produced 110,000 documents to analyse. Manually, that would have taken six to eight weeks. With AI, the documents were reviewed in 24 hours. The entire process took five days.

That's not a rounding error. That's a fundamental change in what's possible.

And here's the thing — it doesn't surprise us at all. It's an honest and obvious example of what AI does when you point it at the right problem. Manual, high-volume, document-heavy work that currently eats weeks of senior people's time is exactly where AI compounds fastest.

The question worth asking isn't whether this is impressive. It's: what's the equivalent job sitting inside your business right now?

The Problem Most SMBs Don't Know They Have

Every business has a version of the eight-week job. It's just not always obvious, because people have been doing it manually for so long it feels like that's just how long it takes.

We've seen it firsthand. One engagement involved senior professionals spending up to two full days reviewing and extracting information from documents — every single time a new job came in. That was their normal. They weren't looking to fix it. It was just the cost of doing business.

What we built compressed that two-day process into five minutes. The same task. The same output. Five minutes instead of two days.

That business runs that process roughly 30 times a month. The maths on that is significant. But the more important shift is what happened to the people who used to spend those two days on it. They moved onto other jobs. More tenders. Higher-value work. The capacity was always there — it was just buried under a manual process nobody had questioned.

That's the Clayton Utz result at SMB scale.

Why SMBs Haven't Done This Already

The law firms featured in the AFR have something most small businesses don't — dedicated technology departments with serious budgets, actively building and testing AI tools against real workflows.

Clayton Utz is a design partner with US-based AI software Harvey. Ashurst has a tech wing called Ashurst Advance. These firms are pouring significant resources into building bespoke AI capability in-house.

An average 20-person business in Australia doesn't have an IT department, let alone an AI team. That's not a criticism — it's just reality. And it's the gap that Hypajump exists to fill.

We build the bespoke tools. We understand the workflow. We find the problem worth solving first. And we deliver results that are comparable to what large firms are spending hundreds of thousands of dollars to achieve internally — at a scale and price point that works for a small business.

The Thing Nobody Mentions About the First Job

Here's what the law firm case studies don't capture, because it happens after the article is written.

The first AI tool a business implements almost always uncovers more problems they didn't know could be automated. Once a business sees what's possible — once the lightbulb goes on — they start looking at everything differently. What else is taking longer than it should? What else are we just accepting as normal because we've always done it that way?

Every industry has its own version of the bug bear. The manual process that's completely invisible to an outsider but is quietly eating hours every week for the people inside the business. AI has the capability to hone in on that specific problem, for that specific business, in that specific industry.

How to Find Your Eight-Week Job

Start by asking the question nobody in the business has asked in years: why does this task take as long as it does?

Step 1: List the tasks in your business that involve reviewing, extracting, or reformatting information from documents — contracts, invoices, drawings, reports, applications.

Step 2: For each one, identify who does it and how long it takes them, start to finish.

Step 3: Ask whether the time is spent on judgement (assessing, deciding, advising) or on mechanical extraction (finding the number, copying the clause, matching the format). The second category is where AI compounds fastest.

Step 4: Estimate how often that task runs. A slow process that runs 30 times a month costs far more than an occasional one — and returns far more when it's fixed.

Hypajump's recommendation: You don't need a Clayton Utz budget, an in-house AI team, or a Harvey partnership to get a Clayton Utz result. You need one process that's been quietly slow for years, and a partner who can point AI at it properly. Find that process first — the next three usually reveal themselves once you do.

Common Queries

What did Clayton Utz actually do with AI? In a Supreme Court of Victoria class action, Clayton Utz used AI to review 110,000 discovery documents in 24 hours — a job that would normally take six to eight weeks of manual review. The full process, start to finish, took five days.

Can a small business really get similar results without a law firm's budget? Yes — the scale is different but the mechanics are the same. Hypajump has compressed a two-day manual document review process into five minutes for a small business client, run more than 30 times a month. The technology principle is identical; it's applied at a scale and price point that fits an SMB.

How do I find the "eight-week job" hiding in my own business? Look for tasks involving reviewing, extracting, or reformatting information from documents that have been done the same way for years without being questioned. If the task is mechanical rather than judgement-based and it runs regularly, it's almost always an automation candidate.

Why does automating one process usually lead to automating more? Once a team sees a two-day job become a five-minute one, they start questioning every other process they'd previously accepted as "just how long it takes." The first automation is rarely the last — it resets what people think is normal.