The Risks of AI-Generated Transcripts in Litigation

Doug Austin highlighted a recent criminal case where an AI-generated transcript inaccurately captured a defendant's statement regarding legal counsel. While the court ultimately denied the motion to suppress after reviewing the original audio, the incident underscores a significant risk: AI tools can misinterpret tone or specific phrasing, potentially altering the legal meaning of testimony. Panelists agreed that as these tools become ubiquitous in meetings and depositions, they will increasingly become a source of Electronically Stored Information (ESI) in discovery. The consensus is that while AI transcription is efficient, it is not a substitute for human verification, especially when accents or technical jargon are involved.

Caroline Hill shared observations from the recent LegalTechTalk conference, noting the increasing trend of vendors spending heavily on elaborate, experiential marketing—such as building a fully realized, branded pub at the event. While effective for brand visibility, the panel expressed skepticism regarding the sustainability and necessity of such high-cost marketing tactics. This trend reflects a broader industry conversation about the massive capital flowing into legal tech and the pressure on vendors to differentiate themselves in a crowded, competitive market.

AI as a Tool for Content and Workflow

Despite the risks, the panelists acknowledged that AI has become essential for managing the volume of information in modern legal practice. Joe Patrice and Robert Ambrogi discussed using AI tools like Fireflies and Granola to assist with interview documentation and note-taking. The panelists noted that while AI can draft content or summarize meetings, it often requires significant human editing to reach a professional standard. The prevailing strategy is to use AI to capture the raw data and identify key themes, while relying on human practitioners to verify accuracy and provide the final synthesis.

Professional Responsibility and Verification

Stephen Embry emphasized that the duty to verify remains with the lawyer, citing recent judicial frustration with attorneys failing to verify citations in AI-assisted filings. The panel agreed that the "black box" nature of some AI outputs does not absolve practitioners of their ethical obligations. Whether it is a transcript error or a hallucinated case citation, the responsibility for the accuracy of work product rests entirely with the human lawyer, not the software provider.

Key Takeaways

  • Verify Everything: Never rely on AI-generated transcripts or citations without human review against the source material.
  • Use AI for Efficiency, Not Finality: Treat AI as a tool for drafting and summarizing, but expect to spend time refining the output.
  • Document Your Process: When using AI in discovery or client meetings, be aware that these transcripts may become discoverable evidence.
  • Manage Expectations: Be cautious of marketing-heavy vendor claims; prioritize functional utility over experiential branding.
  • Maintain Human Oversight: The legal profession's duty of competence requires that lawyers remain the final arbiter of accuracy in all AI-assisted work.