The Connecticut Appellate Court and Connecticut Supreme Court have published new rules on the use of generative AI (artificial intelligence tools that produce text, citations, or arguments from large datasets) in court filings, which took immediate effect. The rules outline additional pathways for courts to impose sanctions on filers where AI-generated errors appear in submitted documents, placing responsibility squarely on the attorney or party who filed the document rather than on the AI tool itself. The move follows a pattern seen in other US jurisdictions where courts have penalised self-represented litigants and, in some cases, qualified lawyers for submitting filings that contained AI-hallucinated case citations (fictitious or inaccurate case references generated by AI systems). While Connecticut is a US state jurisdiction, the regulatory direction is directly relevant to English-law practitioners because the UK courts and professional regulators including the Solicitors Regulation Authority (SRA) are actively monitoring AI use in litigation and the SRA has already referred a solicitor to a disciplinary tribunal in an unrelated matter this week, illustrating the heightened scrutiny on solicitor conduct more broadly. The core legal issue crystallised by the Connecticut rules is verification responsibility: the lawyer signing the document bears full professional liability for its accuracy, regardless of the tool used to draft it.
Why this matters
Courts imposing explicit sanction rules on AI-generated filing errors marks a maturation of the judiciary's response to generative AI in litigation. The Connecticut rules are significant because they move beyond individual judicial decisions on a case-by-case basis to binding court-level procedural rules, creating a formal framework for professional liability. For UK practitioners, the parallel concern is the SRA's increasing attention to AI use in practice: English courts have not yet published equivalent blanket rules, but the trajectory across common-law jurisdictions is consistent. Litigation teams at City firms advising clients on high-stakes disputes need robust internal verification protocols for any AI-assisted document production to avoid the professional conduct and cost risks that sanctions carry.
On the Ground
A trainee working on a contentious matter would be responsible for disclosure review and categorisation, and in the context of AI use, would need to check AI-drafted research or chronologies for citation accuracy before they are incorporated into witness statement bundles or skeleton arguments. Court filing and service tasks also require the trainee to confirm that all cited authorities exist and are accurately quoted.
Interview prep
Question you might get
“How should a litigation team at a City firm manage the professional conduct risks of using generative AI tools to assist with court filings, in light of courts increasingly imposing sanctions for AI-generated errors?”
Sign up free to see the full answer
A model answer you can lift into an interview — how to frame this story for a partner.
Sign up freeMy notes
saved