Privileged and Prompted: When AI Chats Blow Up Your IR Defense
21.09.2026 incident responselegal privilegeai governancecyber insurance
When an incident response team has to draft a report at 2 a.m., analysts reflexively reach for ChatGPT or Claude to structure timelines or polish language. A February 2026 ruling out of New York turns that reflex into a genuine legal liability — and challenges a core assumption baked into many IR playbooks: that anything produced under attorney direction is automatically privileged.
The Heppner Case: Why a Chatbot Isn’t a Lawyer
In a securities fraud case, Judge Jed S. Rakoff of the Southern District of New York ruled that documents a defendant generated on his own using the consumer version of Claude were protected by neither attorney-client privilege nor the work-product doctrine. The communications were not “between a client and his or her attorney,” and “because Claude is not an attorney,” that alone disposed of the privilege claim. The court framed the issue as a matter of first impression nationwide. The written opinion characterized the issue as a “nationwide” matter of first impression regarding whether communications with a publicly available AI platform during a pending criminal investigation are protected.
What matters for IR teams is the second pillar of the ruling: lack of confidentiality. The communications were not confidential because Anthropic’s privacy policy permits collecting and sharing user inputs and outputs, and the defendant did not use Claude at counsel’s direction. That exact pattern — spontaneous, unsupervised AI use outside legal direction — happens constantly during incident response: an analyst summarizes logs, a junior consultant asks a chatbot to draft an executive summary, and nobody documents who authorized it.
Not a New Problem, But a New Accelerant
The idea that IR reports aren’t automatically shielded from discovery isn’t new. Decisions in Lakeview Loan, McMenamins, Capital One, Guo Wengui, and Rutter’s show there is a case for privilege over incident response reports if the engagement is properly structured — but no guarantee. The Sixth Circuit’s FirstEnergy ruling offers a more encouraging benchmark: internal investigations led by outside counsel, undertaken because of real or reasonably anticipated legal exposure, remain protected even when findings later inform business decisions. The dividing line is control: was the investigation initiated and steered by counsel, or did it emerge from employees acting on their own?
What This Means for the IR Playbook
For SOC and IR teams, “which tool does who use to document what, and when” now belongs in the playbook itself — not just in a communications policy. Cyber insurers are already moving in this direction, increasingly evaluating whether breach counsel is engaged early enough to establish privilege as part of assessing incident response quality. At the same time, new insurance clauses are emerging specifically for AI risk: carriers have begun introducing AI security riders that condition coverage on documented evidence of adversarial testing, model-level risk assessments, and specific AI safeguards.
The practical takeaway: generative AI use during incident response must run exclusively through counsel-approved, contractually governed enterprise instances — with logging, a clear chain of instruction, and the understanding that every consumer-app prompt can become discoverable evidence. Tomorrow’s playbook needs more than an Incident Commander; it needs a documented “AI usage policy for the war room” before the next incident ends up in a courtroom.
← Back to overview