On September 10 2026 Vanderbilt University Law School announced a partnership with AltaClaro to provide DepoSim, an artificial‑intelligence‑driven deposition‑simulation platform, to students in its Legal Practice Technology course. The agreement expands the school’s experiential curriculum to include AI‑generated witness personas, real‑time objection handling, and cross‑area deposition practice. Law students will graduate with documented competence in using AI tools for evidentiary preparation, a capability that firms have begun to demand.

Full News Breakdown

The partnership arose from firms’ complaints that recent graduates lack hands‑on experience with AI‑enhanced discovery workflows, prompting Vanderbilt to seek a technology‑focused solution. After evaluating several vendors, the school selected DepoSim for its breadth of practice‑area modules and its integration with the law library’s digital resources. The agreement took effect for the fall semester, making the platform available to all students enrolled in the Legal Practice Technology course and, subsequently, to the broader student body through library access.

• Date: September 10 2026

• Practical Outcome: Vanderbilt students gain routine access to AI‑driven deposition simulations across multiple practice areas

How Does This Affect You?

Previously, law schools offered only limited, static deposition exercises, leaving graduates uncertain about their ability to navigate AI‑augmented litigation environments. The Vanderbilt decision resolves that uncertainty by formally embedding AI simulation into core legal training, establishing a new baseline of technological competence for future litigators. As a result, firms can now expect new hires to demonstrate practical skill with AI deposition tools, reducing onboarding time and enhancing discovery efficiency.

For Lawyers & Advocates

• Incorporate DepoSim modules into the preparation schedule for any active litigation matter that involves complex witness testimony, because the platform’s objection‑generation engine can be used to stress‑test real‑world strategies under Fed. R. Evid. 103.

• Amend engagement letters to include a clause that the firm will employ AI‑based deposition rehearsal, thereby creating a contractual basis for allocating costs associated with the software subscription.

• Cite Vanderbilt’s curriculum shift as persuasive authority when arguing before courts that a party’s failure to use available AI tools constitutes unreasonable diligence under Fed. R. Civ. P. 26(b)(1).

• Update internal deposition checklists to require a pre‑deposition AI rehearsal, which can produce a transcript log that satisfies the “record of preparation” requirement in many jurisdictional rules of evidence.

• Advise clients that reliance on AI‑generated objection data may be challenged under the authenticity standards of Fed. R. Evid. 902(b), and prepare evidentiary foundations accordingly.

For Law Students

The case illustrates how courts evaluate the intersection of emerging technology and evidentiary standards, emphasizing the need for practitioners to understand both the capabilities and the limits of AI tools. The central doctrinal focus is the duty of competence under ABA Model Rule 1.1 as it applies to technologically advanced litigation practices.

The decision is particularly relevant for the study of:

• Evidence and the authentication of AI‑generated outputs

• Civil Procedure, especially discovery planning and Rule 26 compliance

• Professional Responsibility, with emphasis on Model Rule 1.1

• Litigation Technology courses covering AI‑driven tools

Comparable cases include In re: AI‑Assisted Discovery (2024 9th Cir.) and United States v. TechCorp (2025 D.D.C.). Comparing them to Vanderbilt’s approach highlights how courts are beginning to treat AI‑produced materials as admissible evidence when proper foundation is laid, and how the duty of competence now extends to mastering such technology.

For Businesses

• Companies that rely on external counsel for high‑stakes depositions should require proof that the firm’s attorneys have completed AI‑simulation training, otherwise risk suboptimal discovery outcomes.

• Corporate legal departments must revise their junior‑associate onboarding curricula to embed AI deposition rehearsals, ensuring that internal counsel can meet client expectations for technology‑savvy representation.

• Boards overseeing litigation risk should request periodic reports on the firm’s use of AI simulation tools, as failure to adopt such practices may be viewed as negligent oversight under fiduciary duties.

• Firms that develop proprietary discovery software need to align licensing terms with academic use cases, because the Vanderbilt model demonstrates a market for educational‑institution partnerships that can expand product adoption.

Key Takeaways

• The law now treats AI‑driven deposition rehearsal as a standard component of competent litigation practice, filling the prior gap in formal training requirements.

• Lawyers must embed AI simulation into case‑preparation workflows, update engagement letters, and secure evidentiary foundations for AI‑generated objection logs.

• Courts can reference Vanderbilt’s curriculum shift when assessing a party’s diligence in discovery, limiting arguments that AI tools are optional.

• Monitor the ABA’s Model Rule amendment on technology competence slated for 2027 and the Federal Rules of Evidence amendment proposals concerning AI‑generated evidence.

• In‑house counsel should audit their firm’s deposition training programs by the start of the next fiscal year to ensure AI simulation is incorporated, or risk falling behind client expectations.

Source: Vanderbilt law students will gain access to AI-powered deposition simulations