I know a company that claims to do AI. Their models didn't work so they ended hiring humans to manually do the job AI was supposed to do. Obviously that won't scale, but they still call themselves an AI company.
That can still be a legit description as long as there's some learning capacity in the loop, and that can slowly be automated.
Legal informatics is one such domain, there can be use-cases that are very domain-specific, and some high-value events occur rarely, hence can be a small-data problem, with big errorbars (think Apple-Samsung litigation).