Cursor didn’t win because it had the best AI. It won because it was designed for a specific workflow — writing code in a specific environment with a specific set of tasks — and it made AI native to that workflow rather than adjacent to it.

The pattern is now being applied everywhere.

Lawyers are getting vertical AI IDEs. Contract review tools that live inside Microsoft Word, treating a contract as a workspace the same way Cursor treats a codebase. Background agents that run due diligence while the attorney works on something else. Document review that surfaces relevant clauses rather than asking the lawyer to search.

The insight these founders are acting on is simple: professionals don’t want general AI. They want AI that understands their domain, speaks their language, and fits into the system they already use. The lawyer doesn’t want to export to a chatbot and paste back. The analyst doesn’t want to describe their spreadsheet to a model that doesn’t know what DSCR means.

What differentiates a vertical AI IDE from a generic AI wrapper is depth of domain integration. Not a wrapper around a foundation model, but a tool with enough context about the profession that it can take workflow-native actions — not just answer questions. The AI that knows what a cap rate is and knows what the next step is after you’ve extracted one is different from the AI that can explain what a cap rate is when asked.

The legal space is being claimed now. Accounting, architecture, clinical documentation, commercial real estate — those windows are still open, but not indefinitely.

The firms that capture these verticals won’t win on AI capability. They’ll win on domain knowledge deep enough to make the AI genuinely useful to the professional rather than generally impressive to a demo audience. +++