There was a story about how many legislative bills introduced in the US were written by lobbyists a few years ago that might have benefited from these tools: h

There was a story about how many legislative bills introduced in the US were written by lobbyists a few years ago that might have benefited from these tools: https://publicintegrity.org/politics/state-politics/copy-paste-legislate/how-we-uncovered-10000-times-lawmakers-introduced-copycat-model-bills-and-why-it-matters/ https://publicintegrity.org/politics/state-politics/copy-pas... > "Using data provided by LegiScan, which tracks every proposed law introduced in the U.S., we pulled in digital copies of nearly 1 million pieces of legislation introduced between 2010 and Oct. 15, 2018." The scoring system used seems fairly simple in comparison to what AI can do: > "Our scoring system is based on three factors: the longest string of common text between a model and a bill; the number of common strings of five or more words; and the number of common strings of 10 or more words."