MiAI Law

Episode 36 : From Hype to Credibility: Laina Chan on How MiAI Law is Revolutionizing Legal Tech and AI Transparency

In this compelling episode 36 of XRaised, Laina Chan, CEO of MiAI Law, dives deep into the real challenges and immense potential of AI in the legal industry. As the founder of the world’s first AI-powered legal research platform built on first-principles reasoning, Laina shares her vision for reshaping legal tech with transparency, credibility, and a commitment to empowering legal professionals.

Throughout the interview, Laina discusses the growing problem of hype in the legal AI space, especially in light of tools like Harvey, which have attracted significant investment but often fail to live up to the promises made. MiAI Law takes a different approach—focusing on curated, jurisdiction-specific case law, clear reasoning transparency, and accessible cited sources. Laina explains how this groundbreaking approach makes MiAI Law inspectable by design, offering real, verifiable outputs that have earned praise from industry leaders and legal professionals alike.

Laina also highlights MiAI’s endorsements from esteemed barristers, solicitors, and former judges, including Justice Michael Kirby, who expressed his amazement at the tool’s capabilities. These endorsements underscore the practical value MiAI Law brings to real-world legal practice, saving professionals hours of work while surfacing valuable insights that would otherwise be missed.

Throughout the conversation, Laina emphasizes MiAI’s mission: to deliver legal AI solutions that amplify human judgment rather than replace it. She reveals how consistent transparency, clear reasoning, and structured research make MiAI Law the future of legal AI, despite the skepticism and barriers to adoption that exist in the industry.

Looking forward, Laina reflects on the future of legal AI ecosystems and how MiAI is poised to lead the way in building a trustworthy, auditable, and transparent platform for legal professionals worldwide. MiAI Law is set to become an integral part of the legal AI landscape by making legal AI not only useful but verifiable, setting a new standard for accountability in the legal tech space.

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