Law firms are increasingly integrating AI tools into their legal research workflows to improve speed, accuracy, and cost-efficiency. AI-powered systems can search massive databases of case law, statutes, and regulations in seconds, summarizing relevant rulings and highlighting potential precedents.
Some tools even provide predictive analytics to assess litigation risks or outcomes based on past rulings.
I would like to understand the different ways law firms apply AI to research, the benefits they see, and the challenges or risks involved — particularly regarding accuracy, ethical compliance, and potential bias in AI outputs.