About this episode
Law professor Daniel Ho says that the law is ripe for AI innovation, but a lot is at stake. Naive application of AI can lead to rampant hallucinations in over 80 percent of legal queries, so much research remains to be done in the field. Ho tells how California counties recently used AI to find and redact racist property covenants from their laws—a task predicted to take years, reduced to days. AI can be quite good at removing “regulatory sludge,” Ho tells host Russ Altman in teasing the expanding promise of AI in the law in this episode of Stanford Engineering’s The Future of Everything podcastHave a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Daniel HoConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces Dan Ho, a professor of law and computer science at Stanford University.(00:03:36) Journey into Law and AIDan shares his early interest in institutions and social reform.(00:04:52) Misconceptions About LawCommon misunderstandings about the focus of legal work.(00:06:44) Using LLMs for Legal AdviceThe current capabilities and limits of LLMs in legal settings.(00:09:09) Identifying Legislation with AIBuilding a model to identify and redact racial covenants in deeds.(00:13:09) OCR and Multimodal ModelsImproving outdated OCR systems using multimodal AI.(00:14:08) STARA: AI for Statute SearchA tool to scan laws for outdated or excessive requirements.(00:16:18) AI and Red
