I posted earlier in the present day about a lawyer’s filing unchecked ChatGPT-generated material, full with hallucinated instances. However even when legal professionals handle to keep away from that, I am positive that many self-represented litigants shall be utilizing ChatGPT, Bard, and the like, and will not know to correctly examine the outcomes.
Certainly, a fast CourtListener search identified three self-represented filings (1, 2, 3) that expressly famous that they have been counting on ChatGPT. That means that there are lots of extra that used ChatGPT however did not point out it. (To my data there isn’t any requirement to reveal such issues.)
Word additionally that self-represented litigants are fairly widespread: Even setting apart prisoner filings (since I am unsure what number of prisoners have entry to ChatGPT), in federal court, “from 2000 to 2019, … 11 % of non-prisoner civil case filings concerned plaintiffs and/or defendants who have been self-represented.” And I count on this is able to be much more widespread in state courts, for example in divorce and little one custody instances, the place I am informed self-representation is much more widespread. (Household court docket plaintiffs may really feel like they should file for divorce, although they can not afford a lawyer, and defendants may get sued for divorce or over little one custody disputes although they have no cash that the plaintiff can get better.) And even not limiting issues to such classes of instances, it seems that “The caseload of most California judges now consists primarily of instances through which at the very least one celebration is self-represented.”
See additionally this post from late February for an early question alongside these strains, through which one commenter did point out that he had used ChatGPT-3 for a state court docket submitting; and see this post from January for the DoNotPay traffic-ticket-litigation story. If of any instances involving professional se litigants utilizing ChatGPT and comparable packages, please let me know.