Hamid Kohan Cited in Tech Times on Why Specialized AI Is Winning in High-Stakes Industries
Hamid Kohan, founder of AI Virtual and Legal Soft, was cited as an expert source in Tech Times, contributing to a feature on why specialized AI tools are outpacing general-purpose platforms across high-stakes, compliance-heavy fields.
The article, published May 19, 2026, looks at why broad AI capability on its own isn't enough once a business moves past simple tasks and into regulated, document-heavy, deadline-driven workflows, the exact environment AI Virtual was built to operate in across legal, insurance, and marketing organizations.
Why generic AI hits a ceiling
Kohan told Tech Times that most general-purpose AI tools were designed to answer broad, one-off questions, not to operate inside industries built around interconnected processes, strict compliance requirements, and precision-sensitive documentation. A tool that streamlines one task while adding friction everywhere else, he noted, doesn't actually move an organization forward.
According to Kohan, that mismatch is exactly what shows up when generic AI meets real operational demands: intake, records management, case or client organization, and communication that all have to work together, not in isolation.
Why connected workflows are winning
The piece also detailed how organizations are changing the way they evaluate AI now that early experimentation has turned into full operational deployment. Kohan explained that "a law firm is not looking for isolated automation tools", the same holds true, he noted, for insurance teams and marketing departments layering AI onto existing operations.
Firms and teams seeing the strongest results, he said, are the ones treating AI as part of a connected system spanning document collection, organization, summarization, drafting, and client communication, not as a standalone chatbot bolted onto one task.
Where human judgment still leads
Kohan was direct about where automation ends and professional judgment begins. Verification, strategy, and final decisions stay with trained people. The organizations getting the most value from AI, he said, are using it to clear administrative work off their team's plate, not to replace the expertise behind the decisions that actually matter.
He framed the broader trend as less about any one industry and more about what AI adoption reveals: knowledge-based workflows across law, insurance, healthcare, and finance have been carrying inefficiencies for years, and specialized systems built around a field's actual terminology and operations are the ones closing that gap, not generic tools applied broadly.
About Hamid Kohan
Hamid Kohan is a business leader, author, and founder of AI Virtual and Legal Soft. Through AI Virtual, he helps professional service organizations, including law firms, insurance agencies, and marketing teams, design and implement specialized AI systems built around how their teams actually work. His companies and industry commentary have been featured in Forbes, Tech Times, ABC, NBC, Yahoo Finance, and Law.com.