Los Angeles, CA (April 14, 2026) - Hamid Kohan, founder and CEO of Legal Soft and Law Practice AI, has been appointed to the Advisory board for the Strategic AI for Legal Professionals Program at UCLA Law Executive Education. His appointment brings legal operations and technology experience into a program focused on helping legal professionals adopt artificial intelligence more responsibly and effectively in daily practice.
Kohan is known for his work at the intersection of legal practice management and technology. Through Legal Soft and Law Practice AI, he has focused on helping law firms improve productivity, modernize workflows, and build systems that support growth.
As AI tools become more widely available, the gap between interest and structured adoption continues to grow. Kohan’s involvement at UCLA Law comes at a time when many legal professionals are exploring AI but still need clearer guidance on how to apply it in ways that fit real legal work.
About the Program
Founded in 1949, UCLA School of Law is the youngest among the nation’s top-ranked law schools. UCLA Law Executive Education offers programs designed for working legal professionals, with a focus on practical knowledge that attorneys and legal staff can apply immediately in their practices.
UCLA Law Executive Education’s Strategic AI for Legal Professionals Program is designed to help legal professionals understand the real impact of artificial intelligence on the legal field. Through seven in-depth modules, the program examines the legal, ethical, and operational challenges created by AI technologies, including large language models.
The program covers key issues such as copyright, cybersecurity, privacy, government regulation, legal research, and legal education. It also uses real-world case studies, current regulatory developments, and practical assignments to connect these topics to the realities of modern legal practice.
Adding contributors with industry experience, such as Kohan, helps ground the program’s academic instruction in real-world application. Its goal is to equip legal professionals with tools and frameworks they can use right away.
Why This Matters
The timing of this appointment reflects a broader operational challenge across the legal profession. Bloomberg Law reported that 52% of private practice and in-house lawyers experienced burnout due to overwhelming workloads and long hours. Clio also reported that lawyers spend only 2.9 hours of an eight-hour workday on billable work, showing how much of the day is still lost to administrative and non-billable tasks.
Those figures help explain why legal professionals are paying closer attention to AI. The pressure is practical, not theoretical. Firms are looking for ways to reduce repetitive work, improve responsiveness, and give attorneys more time for higher-value work.
The Adoption Gap
AI tools have the potential to address many of the legal industry’s operational challenges. But adoption remains uneven. The ABA’s 2025 Legal Industry Report, based on a survey of more than 2,800 legal professionals, found that 31% of respondents personally used generative AI at work. The same report also noted that firm-wide adoption still lagged behind personal use because of policy, ethical, and implementation concerns.
That gap is one of the most important issues facing legal organizations right now. Many lawyers and staff members are willing to test AI tools on their own. Far fewer firms have structured training, clear internal policies, or defined workflows that show where AI should be used, how outputs should be reviewed, and who remains accountable for the final work product.
Structured education is part of the answer. When legal professionals understand not just what AI can do, but how to apply it to their actual work, adoption becomes more sustainable. That is what makes Kohan’s role at UCLA Law meaningful.
He brings more than academic discussion to the role. He brings practical experience helping law firms implement technology in real operational settings.
AI in Legal Workflows
AI is most useful in legal workflows when it supports time-consuming tasks such as document review, summaries, intake follow-up, communication, and administrative work. This matters because firms continue to lose significant time to non-billable tasks that reduce attorney focus and efficiency.Â
The Strategic AI for Legal Professionals Program reflects that reality by emphasizing practical use, responsible implementation, and the operational challenges of applying AI in legal practice.
“AI in legal practice is not about replacing attorneys. It is about giving them back the time they are losing to tasks that do not require their expertise. The firms that will benefit most are those that approach adoption with structure, not just curiosity. That means understanding which workflows to address first, how to train the people using the tools, and how to measure whether it is working,” said Hamid Kohan.
Kohan’s perspective is rooted in years of working directly with law firms navigating growth and technology change. He has consistently framed AI as a practical business and operations tool, not a shortcut that replaces legal judgment. Through his companies, he has helped firms across the United States implement practice management solutions that address real operational challenges.
Looking Ahead
Kohan’s appointment to the Strategic AI for Legal Professionals Program reflects a broader shift in how the legal industry is approaching AI. The conversation is moving from whether to adopt AI to how to do it well and how to do it responsibly.
For legal professionals navigating burnout, administrative overload, and rising pressure to modernize, strategic AI adoption is becoming a practical priority rather than a future concept.
About Legal SoftÂ
Legal Soft is a virtual staffing solutions company serving law firms across the United States. Founded in 2015 by Hamid Kohan, the company works with firms of all sizes across a wide range of practice areas. In 2026, Kohan launched Law Practice AI to help legal professionals approach AI adoption with more structure and clarity.
