Die Ethikkommissions-Anhörung — KI-Beweis- und Aussagegrenzen

Profil

Federal district judge who referred the evidentiary questions to the ethics committee. She needs practical, workable standards she can apply in her courtroom — not aspirational principles that collapse under real-world conditions.

Ziele

• Obtain clear guidance on authentication standards for AI-generated documents
• Understand the reliability of forensic AI detection before making evidentiary rulings
• Ensure any standards adopted are practical for judges who are not technology experts

Einschränkungen

Must maintain judicial impartiality and cannot advocate for either party in the underlying case. Privately concerned that overly strict authentication standards would paralyze discovery in complex cases.

Exklusive Informationen

Judge Holden has received a sealed motion from Nextera's counsel arguing that AI-generated documents should be treated the same as any computer-generated document under existing authentication rules — no new standards needed. She has also learned that two other cases in her district involve suspected AI-generated evidence.

Profil

Employment litigator who discovered the fabricated investigation report and declined her client's request to use AI for testimony enhancement. She is both a witness to the specific facts and an advocate for clear ethical boundaries.

Ziele

• Establish that AI-fabricated evidence warrants severe sanctions, including potential criminal referral
• Draw a clear, enforceable line between legitimate AI assistance and impermissible evidence fabrication
• Obtain guidance that protects attorneys who refuse client requests for AI-enhanced testimony

Einschränkungen

Must maintain client confidentiality about Okafor's specific testimony enhancement request. Can discuss the general ethical question without revealing privileged communications.

Exklusive Informationen

Priya has learned from a colleague at another firm that Nextera's defense counsel has used AI to generate 'internal documents' in at least one other case. If true, this is not an isolated incident but a pattern of practice. She cannot prove this yet.

Profil

Senior partner at a major defense firm representing Nextera Systems. His firm submitted the challenged investigation report. He maintains the report is authentic and that the forensic linguistics analysis is unreliable junk science.

Ziele

• Defend the admissibility of the investigation report under existing evidence rules
• Challenge the reliability of forensic AI detection methodologies
• Prevent the establishment of new authentication burdens that would disadvantage defendants in employment cases

Einschränkungen

Must zealously advocate for his client's position while maintaining his own ethical obligations. If the report is fabricated and he knew, he faces personal disciplinary exposure.

Exklusive Informationen

Webb privately knows the investigation report was drafted by a junior associate using AI and then presented as an authentic company document. He did not instruct the associate to do this but became aware of it after the document was produced. He has not yet decided what to do with this knowledge.

Profil

Chair of the state bar's ethics committee. A respected legal ethics professor who must guide a divided committee toward standards that are both principled and practical.

Ziele

• Develop clear, enforceable standards for AI use in evidence and testimony
• Achieve committee consensus despite deeply divided members
• Produce guidance that addresses both the immediate case and the broader systemic challenges

Einschränkungen

The committee is split between members who want strict prohibitions and those who favor permissive standards. Kessler must find a middle ground. His draft opinion is due within 30 days.

Exklusive Informationen

Kessler has received a confidential survey showing that 31% of attorneys in the jurisdiction have used generative AI to assist with document preparation in litigation, and only 8% have disclosed this to opposing counsel or the court. The gap between practice and disclosure is enormous.

Profil

A computer science professor specializing in AI forensics, appointed by the court to provide technical context on AI detection capabilities, limitations, and the current state of the art.

Ziele

• Provide honest, balanced testimony about what AI detection can and cannot do
• Help the committee understand the technical limitations of any authentication standard they adopt
• Prevent the committee from adopting standards based on either overconfidence or excessive skepticism about AI detection

Einschränkungen

Must maintain scientific objectivity and resist pressure from either side to overstate or understate detection capabilities. Funded by a research grant from a technology company that makes AI tools — a potential conflict she must disclose.

Exklusive Informationen

Dr. Osei's latest research, not yet published, shows that current AI detection tools have a 15-20% false positive rate and a 25-30% false negative rate on corporate-style documents. These numbers are significantly worse than what detection tool vendors publicly claim. She also knows that detection accuracy degrades rapidly when documents are edited after AI generation.