Desiree Sainthrope stands at the intersection of traditional legal rigor and the rapidly accelerating world of legal technology. With an extensive background in drafting complex trade agreements and navigating the nuances of global compliance, she has become a leading voice on how emerging technologies, particularly artificial intelligence, are redefining the profession. As she walked the halls of the Javits Center during Legalweek 2026, her perspective was colored by a career spent analyzing the evolving implications of AI on intellectual property and professional development. In our conversation, she reflects on a significant shift in the industry: a move away from experimental “pilot projects” toward a rigorous focus on integrated training and measurable returns. We explore the psychological divide between senior partners and junior associates, the rise of sophisticated experiential simulators, and the transition toward personalized, AI-driven learning curricula that target specific skill gaps.
The legal industry is shifting from experimental pilot projects toward a focus on maximizing return on investment. How are you measuring the tangible value of these tools, and what specific milestones indicate that an AI implementation has successfully moved beyond the initial evaluation phase?
In this new era of legal practice, we have moved past the “shiny object” phase where firms were simply happy to say they had an AI department. Now, the metric for success is rooted in high-level adoption throughout the firm and a clear, quantifiable return on investment that justifies the initial spend. We look for specific milestones, such as a measurable reduction in the time it takes to complete high-volume tasks like document review or initial contract drafting, which historically consumed a vast number of associate hours. A successful implementation is marked by the moment the technology stops being a standalone “project” and becomes an invisible part of the daily workflow for attorneys at all levels. When we see a wide range of departments—from litigation to corporate trade—incorporating these tools without constant oversight from the IT team, we know the tool has successfully integrated into the firm’s DNA.
Senior partners often show more enthusiasm for AI training than summer associates who worry about job security and debt. How do you address the anxiety junior lawyers feel regarding their career longevity, and what strategies help them view technology as a professional enhancement?
It is a striking paradox that the most senior members of a firm are often the most eager to dive into AI training, while the incoming class of associates feels a profound sense of trepidation. For a first-year lawyer carrying a substantial debt load, the fear that AI will erode the substantive work they need to build a career is both real and visceral. We address this by emphasizing that AI is designed to handle the “drudgery” of practice, potentially making their day-to-day work more intellectually stimulating and enjoyable. Interestingly, some firms like Cleary Gottlieb have found the aversion so strong among recruits that they actually avoid using their technology investments as a primary selling point during the recruitment process. The strategy is to show them that mastering these tools isn’t about replacing their roles, but about giving them a competitive edge that allows them to focus on higher-level legal strategy earlier in their careers.
AI-powered simulators are now being used to replicate depositions and high-stakes legal scenarios to provide experiential learning. In what ways do these tools bridge the gap for junior lawyers who lack substantive live-work opportunities, and why are senior attorneys also gravitating toward these platforms?
The loss of traditional “learning by doing” opportunities is a serious concern, as AI increasingly performs the foundational work where junior lawyers used to cut their teeth. Tools like the AI-powered deposition simulator developed by AltaClaro provide a critical bridge by allowing associates to practice their skills in a realistic, low-risk environment before they ever step into a live hearing. What has been truly surprising, however, is the number of senior partners who are also utilizing these simulators to sharpen their own techniques. Even a seasoned litigator appreciates a space where they can experiment with different lines of questioning and receive immediate feedback without the stakes of a real courtroom. This cross-generational interest shows that experiential training isn’t just a remedial tool for the inexperienced, but a sophisticated platform for continuous professional excellence.
New diagnostic tools use AI to identify individual skill gaps and create personalized training curricula. How does this shift toward bespoke learning change traditional professional development models, and what steps are involved in tracking the resulting improvements in specific attorney competencies?
The shift toward bespoke learning marks the end of the “one-size-fits-all” training seminar that has dominated law firms for decades. By using AI as a diagnostic tool, as companies like Hotshot have explored, we can now pinpoint exactly where an individual attorney’s strengths and weaknesses lie. This involves analyzing an attorney’s performance in hypothetical scenarios to identify specific skill gaps, which then allows the firm to generate a personalized curriculum tailored to their needs. Tracking improvements becomes a data-driven process where we can monitor how an attorney progresses through targeted modules and apply those refined skills to actual client work. This method ensures that professional development is no longer a box-ticking exercise but a precise, individualized roadmap for career growth.
What is your forecast for the future of legal training as AI continues to reshape the industry?
I believe legal training will soon cease to be a separate event and will instead become a continuous, AI-integrated feedback loop that exists within the practice itself. We will see a future where training content is assigned and delivered in real-time as attorneys work, with AI mentors offering suggestions and identifying learning opportunities as they arise. This evolution will force firms to rethink how they mentor employees at every level of seniority, moving away from manual oversight toward a model where technology facilitates high-level experiential learning. Ultimately, the most successful firms will be those that view AI not just as a tool for efficiency, but as the foundational engine for developing the next generation of legal talent.
