Spot API is an issue spotter making use of NSMIv2 and built upon Learned Hands data

Spot is an NSMIv2 entity/issue spotter built by Suffolk University’s Legal Innovation and Technology (LIT) Lab. Spot builds upon data from the Learned Hands online game, a partnership between the LIT Lab and Stanford’s Legal Design Lab. Learned Hands aims to crowdsource the labeling of laypeople’s legal questions for the training of machine learning (ML) classifiers/issue spotters.

Source: Spot API Performance

In a nut shell you send a legal question and it returns a set of NSMIv2 tags. One could then use the those tags to link to resources that are using NSMI to tag/classify data. One catch here is that it is not clear how many public websites are using NSMI to tag content.