There are two camps in legal operations right now.
The first says: "We'll throw AI at it." The firm runs a pilot, attends the vendor demos, and three months later ends up roughly where it started — with the partners asking when this is going to pay off.
The second says: "AI can't handle our work." Too high-stakes, too bespoke, too much judgment. So the firm waits, watches everyone else experiment, and hopes the dust settles.
Both camps are wrong. And they're wrong for the same reason: neither has actually looked at their own processes.
The shortcuts your firm took under pressure. The workarounds that became permanent. The everyday processes that were right at the time, but that nobody's revisited since the firm changed around them. They compound quietly, year after year — and they're the real reason most legal AI initiatives don't deliver. We call that workflow debt, and every firm has it. Some a lot. Some a little. None at zero.
In this 45-minute session, Miguel Ribeiro will walk you through a 4-step framework — Map, Bottleneck, Diagnose, Fix — that you can run on any process at your firm. We'll apply it live to three processes every firm has (client intake, billing, and operations onboarding), and you'll see what the right fix actually looks like — which, most of the time, is not automation.
This isn't an AI pitch. It's an honest picture of where AI fits in legal operations, and where it doesn't — and the operations work that has to happen before any tool, AI or otherwise, can earn its keep.
Key Takeaways:
- Language for what's broken at your firm: The symptoms of workflow debt, and the cost of leaving it alone.
- A 4-step diagnostic you can run on any process by Monday: Map, Bottleneck, Diagnose, Fix. No software required.
- Four real fixes for any bottleneck: Only one of which is automation. Most of what's broken at most firms gets fixed by the other three.