Bao Tran

Patent Help: The PatentPC Show with Bao Tran

Welcome to PatentPC: Patent Made Simple — your go-to podcast for understanding patents, trademarks, and intellectual property in a clear and practical way. Brought to you by PatentPC, a global intellectual property law firm, this podcast is designed for entrepreneurs, startups, and innovators who want to protect and grow their ideas. Our team of legal and technical experts has helped build the IP foundations of high-growth companies and emerging unicorns. Each episode breaks down complex IP topics into simple, actionable insights—covering patents, trademarks, and strategies to safeguard your

No dejes de visitar la web del podcast y apoyar a su creador: patentpc.com

Autor

Bao Tran

Categoría

Education

Web del podcast

patentpc.com

Último episodio

7 de jul. de 2026

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Episodios

AI in Court_ 2025 Copyright Showdown 03.04.2026

when AI collided with the legal world. Federal cases against AI firms from big names like OpenAI, Anthropic, Meta, MidJourney, and Perplexity raised critical questions about the safety of using AI for developers. We explore key lawsuits, landmark cases, and the evolving legal landscape in both the US and Europe. Learn valuable lessons for navigating training data, fair use, transparency, and licen...

From Idea to Patent: Step-by-Step Guide 02.04.2026

In this video, Patent Attorney Tran from Patent PC walks you through the detailed process of turning an idea into a patent. The video covers essential steps such as capturing and documenting your invention, protecting your confidentiality, conducting prior art searches, choosing the right filing strategy.

Navigating MedTech Patents: From Prototype to Protection 01.04.2026

In the rapidly evolving world of medical technology, an innovation without protection is a liability. Discover how to navigate the sharpened USPTO rules of 2026 to turn your medical prototype into a defensible, investor-ready asset. In this episode, we break down the 2026 patent landscape for medtech creators. Learn why demonstrating "technical improvement" over abstract functionality is...

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