February 18, 2026


AI Revolutionizes Legal Training: Deposition Simulator Offers New Learning Horizon for Attorneys

In the realm of legal education and practice, the incorporation of artificial intelligence has often been met with mixed reactions, particularly due to incidents involving AI-generated fictitious legal cases. However, the true potential of AI in the legal field extends far beyond these hiccups. The latest innovation, a deposition training simulator named DepoSim, developed by AltaClaro in collaboration with Verbit.ai, is proving to be a game-changer for both budding and seasoned lawyers.

Traditionally, deposition training has been a resource-intensive process requiring the involvement of experienced attorneys, hired actors, and logistical planning. DepoSim significantly simplifies this process by utilizing AI to simulate realistic deposition scenarios. In these simulations, AI plays the roles of the deponent, opposing counsel, and court reporter, creating an immersive learning environment without the usual logistical headaches.

The system not only conducts these simulations but also provides detailed feedback through a rubric-based report that evaluates the user's performance across various skills. This immediate and precise feedback is invaluable for continuous improvement, allowing users to rerun scenarios as needed to refine their techniques.

During a demonstration, the realism of the AI participants was compelling. The AI deponent and opposing counsel reacted swiftly and appropriately, throwing challenges at the user, much like in real-life situations. While the simulation does not replicate every nuance of human interaction—missing, for instance, the unique dynamism of a Texas deposition—it nonetheless offers substantial benefits for honing deposition skills.

The flexibility of DepoSim also stands out, with options to adjust the evasiveness of the deponent and the difficulty posed by the opposing counsel. Such features keep the training challenging and engaging.

Feedback from the legal community, particularly from a beta Early Adopter Program involving major firms like Orrick and McDermott, has been overwhelmingly positive. Participants appreciated the quality of the feedback, emphasizing its greater specificity and comprehensiveness compared to traditional peer reviews.

At launch, DepoSim focuses on civil depositions, but plans are underway to expand its offerings to include specialized scenarios like expert witness depositions and even trial examinations. This adaptability highlights AI's capability to support a wide range of legal training needs efficiently.

As AI continues to evolve, its integration into tools like DepoSim demonstrates its capacity to enhance legal training by making it more accessible, efficient, and adaptable. This is a clear indication that AI's role in the legal sector should be embraced, focusing on its strengths and the unique benefits it brings to legal education and practice.