Casetag is an artificial intelligence assistant that helps lawyers answer two basic questions: what cases to cite and what similar cases exist. Casetag says it’s not competing with any of existing legal research systems, because it is offering not a keyword search access to a case database, but a machine learning powered algorithm that actually tries to understand the user query context and return valid results. For example, it claims that it can show you cases that contains no keywords that you provided, but are still relevant.
To make Casetag as comfortable to use as common legal research systems, they added a jurisdiction filter, bookmarks and query history.
Casetag is ready not only for individual lawyers but also for enterprise use, because it includes two-factor authentication and a user management system.
Casetag was co-founded by Paul Fomin (CEO), an experienced developer and entrepreneur who for years specialized in collecting and preprocessing legal texts. His co-founder and CTO is Naim Shamsudinov. He is a talented student who successfully represented his university in a various artificial intelligence contests.
Casetag was tested by various early adopters: legaltech influencers and bloggers, and also attorneys from top U.S. law firms. Now it’s in open beta, so you can try it out for yourself at no cost. Just go to https://casetag.com to get started. What do you have to lose?