Los Angeles, CA (May 28, 2026) - Hamid Kohan, founder of Legal Soft and Law Practice AI, was cited as an expert source in Tech Times, contributing to a feature on why specialized AI tools are outperforming general-purpose platforms in high-stakes industries like law.
The article, published May 19, 2026, examines why broad AI capability alone isn't enough for professional service industries and why legal is one of the clearest examples of where that gap shows up.
The core argument
Kohan told Tech Times that most general-purpose AI tools were built for broad question-and-answer tasks, not for industries with heavy compliance requirements, interconnected workflows, and precision-sensitive documentation.
"Legal work is full of nuance, context, deadlines, compliance requirements, and interconnected processes that generic AI simply was not designed to understand," he said.
He pointed to the specific operational demands law firms carry: intake processes, medical records, document chronologies, case organization, and client communication. A tool that handles one of those well while creating friction across the others doesn't move a firm forward.
On connected workflows
Kohan's second point in the feature focused on how firms are evaluating AI differently now that early experimentation has given way to full operational deployment.
"A law firm is not looking for isolated automation tools," he said. "They are trying to reduce operational friction across intake, document collection, case organization, summarization, drafting, and client communication. The firms seeing the most success are the ones implementing AI as part of a connected workflow rather than treating it like a standalone chatbot."
On the role of human judgment
Kohan was direct on where AI stops and professional judgment begins. Verification, strategy, and final decisions stay with attorneys. The firms getting real results from AI are using it to remove administrative work, not to replace the expertise behind legal decisions.
"It's not about replacing professionals," he said. "It's exposing how inefficient many knowledge-based workflows have been for years. Legal is one of the first industries where those operational gaps are highly visible because firms deal with massive amounts of documents, intake processes, compliance requirements, and repetitive administrative work every day."
He added that the strongest results are coming from specialized systems that understand the workflows, terminology, and operational realities of a specific field, not from generic tools applied broadly.
About Hamid Kohan
Hamid Kohan is a business leader, author, and founder of Legal Soft and Law Practice AI, with recognition across the legal and business communities. Through his companies, books, and industry work, he has helped law firms improve operations and build more scalable practices.
