Steno: Legal AI Doppelganger Persona Aids Junior Lawyer Talent

• ILTACON 2026 highlighted the rapid growth of legal technology, attracting over 5,700 attendees to Nashville's Gaylord Opryland convention space.
• Concerns were raised at Legalweek in March about AI hindering junior lawyer training by automating tasks essential for skill development.
• Steno introduced the "AI as a Teammate" concept at ILTACON, proposing solutions for talent development.
• Steno's "doppelganger" AI is designed to mimic the specific writing style and logical approach of an individual elite lawyer, unlike generic AI systems.
• This advanced AI model offers a pathway to enhance junior lawyer training by allowing them to learn from and replicate expert legal reasoning.

Law firms should strategically assess advanced AI models like the Steno legal AI doppelganger persona to integrate AI into talent development programs.

The legal technology sector has reached an unprecedented level of prominence, a key takeaway from ILTACON 2026. This year's conference, described by Above the Law's Stephen Embry as "CES-like," occupied the expansive 700,000-square-foot Gaylord Opryland convention center in Nashville and attracted over 5,700 attendees. The sheer scale of ILTACON 2026 legal tech insights underscored the rapid evolution within the industry, with significant advancements occurring even within a few months.

This rapid pace of change has brought both innovation and new challenges, particularly concerning legal AI talent development. Just five months prior to ILTACON, at a Legalweek panel in March, a technology professional from a prominent law firm voiced a significant concern: the potential for AI to hinder the training of junior lawyers. He warned of a paradox where the industry might become "a snake eating its own tail," as senior lawyers possess the judgment to refine AI-generated output, but junior lawyers need to perform the foundational work that AI now automates to develop those very skills. The Legalweek discussion questioned the future development pathways for senior lawyers and explored strategies for law firms to safeguard the profession's future.

However, by the time of the ILTACON conference, the industry had begun to address these concerns, with companies presenting tangible solutions. A new panel featuring Steno, a legal tech firm specializing in court reporting and litigation support, offered detailed responses. Titled "AI as a Teammate: Use Cases That Drive Talent Development," this discussion focused on integrating Steno AI legal solutions in ways that foster, rather than impede, the growth of junior legal professionals. Panelists expressed optimism, suggesting that the training value of certain traditional legal tasks might be overemphasized.

A central theme emerging from the ILTACON panel was a redefinition of how generative AI lawyer writing style tools function within a firm. Historically, these applications, which generate initial drafts of legal documents, have been conceptualized as digital "junior associates." However, a new approach, championed by Steno, reframes this concept entirely, introducing the Steno legal AI doppelganger persona.

Jeff Cox, an attorney and Steno's Director of Brand, elaborated on this innovative model at the ILTACON panel. He described an approach that is "1-foot wide and 100-feet deep," contrasting it with the more common "100-feet wide and 1-foot deep" generic AI writing systems. While a generic system produces output based on a broad understanding of "legal writing," the AI doppelganger is specifically calibrated to mimic the unique writing style and logical approach of an individual, elite lawyer. This distinction highlights the shift from an AI associate vs doppelganger, where the latter offers a far more personalized and sophisticated replication.

This advanced AI is trained to emulate a specific lawyer's methodology, including how they initiate arguments, handle challenging facts, and present concessions without appearing to retreat. Cox emphasized that this intricate logic is not only real and learnable but also teachable, suggesting a profound potential for replicating and disseminating expert legal reasoning through technology.

The introduction of the AI doppelganger concept offers a compelling answer to the earlier concerns about legal AI talent development. Nick Hafen, Head of Legal Technology Education at BYU Law School, noted that while traditional tasks like reviewing paper boxes or diligence rooms have some initial value, repeatedly performing them after understanding the core elements, such as a clause's structure, adds little to a lawyer's ongoing training. He posited that AI could instead concentrate and enhance this training process.

Law firms should strategically assess advanced AI models like the Steno legal AI doppelganger persona to integrate AI into talent development programs. This ensures that junior lawyers acquire essential skills while leveraging AI for consistent, high-quality work product. The focus shifts from AI merely outsourcing tasks to becoming an advanced training and style-replication tool, allowing junior lawyers to learn from and emulate the specific, nuanced approaches of top legal minds. This strategic integration promises to elevate the quality of legal output and accelerate the skill development of future legal professionals.

Law firms should assess advanced AI models like the 'doppelganger' to strategically integrate AI into talent development programs, ensuring junior lawyers gain essential skills while leveraging AI for consistent, high-quality work product. This shifts the focus from AI as a task-outsourcer to an advanced training and style-replication tool.

Source: Original reporting via Above the Law