Startups and Patents: Useful AI, Risky DIY

AI promises to accelerate the preparation of patent applications and reduce their costs, but its legal and strategic limitations can leave innovations unprotected. Investors and acquirers scrutinize ownership, scope, and applicability of claims, far beyond a simple "pending." Between orchestration by advisors and the temptation to go it alone, the line separates exploitable protection from a false sense of security.

Investors Demand Clear Ownership, Useful Scope, and Enforceable Claims

The number of patent applications filed does not reflect the commercial value of an innovation. Investors and acquirers examine the actual ownership of patents, ensuring that assignments are signed by all relevant founders, employees, and contractors, and that no previous employer or university can claim rights. They also verify that the claims protect what the company truly depends on, that the application contains enough details to support them, and that the claims are difficult to circumvent, with detectable and provable infringement. Gaps in ownership can jeopardize funding or acquisition. The major risk is discovering too late that a DIY-prepared application never protected the company's core innovation.

What AI Does Well When Orchestrated by Advisors

AI enables the organization of technical documentation, summarizes existing patents, and identifies relevant prior art. Transforming engineering notes into structured disclosures reduces preparation costs and helps advisors focus on strategy. When orchestrated by an advisor, AI can intervene at every stage of the process: invention discovery, drafting, drawings, quality checks. It allows for exploring different options with inventors, detecting deficiencies in the disclosure, and ensuring that claims are properly supported. Lawyers can oversee these tasks, analyze the results obtained, and articulate each phase to ensure better protection of the company's interests. By combining legal expertise and artificial intelligence, it becomes possible to draft more comprehensive and effective applications, representing a radically different approach from a simple text generated by a chatbot and then edited. The value of AI lies in making significant protection accessible without sacrificing legal judgment, and in enhancing the efficiency and substance of the process.

The Pitfalls of DIY: Weak Provisional Applications, Hasty Disclosures, Blurred Ownership

A provisional application only provides a useful filing date if the disclosure is sufficient. Subsequent claims benefit from this priority only if the invention is correctly described and permitted in the initial application. DIY drafts often omit technical details, alternatives, and variations, and these gaps cannot be corrected afterward. Presenting to investors, making demonstrations, or announcing an innovation before filing can jeopardize patent rights, especially internationally, and public disclosure can destroy trade secret protection. Sharing confidential information with AI tools without verifying their data practices creates additional risks. Paying an employee or contractor is not enough: invention assignments must be secured upon arrival, and obligations to former employers or universities must be checked. The cheapest option is not always the most economical: a poorly prepared application can create false confidence and leave innovations exposed.

Advisors Guide the Choice Between Patent and Trade Secret

Advisors help choose between filing a patent and maintaining a trade secret, prioritize filings according to budget, and manage timelines before disclosure or filing limits options. An internal process not observable by competitors may be better kept as a trade secret. Determining the scope of claims requires specific appreciation: if a claim relies too heavily on an algorithm, it may be avoided, while excessive scope risks encroaching on existing technologies. Claims with the most value target what competitors are compelled to implement to remain competitive, preferably in a way that can be observed and demonstrated. The specification must include descriptions of different options and variations to support broader claims without restricting their scope. AI can assist in this work, but strategic judgment remains essential. Without this framing, an application may seem sophisticated while providing poor protection, and scope errors may go unnoticed until an external review.

Why AI Does Not Replace Protection Strategy

Patents remain a lever for competitive advantage, attracting investors, and protecting innovations, even though the traditional process is costly, slow, and complex. AI tools can accelerate the preparation of drafts in minutes and encourage founders to manage the filing themselves. However, it is not simply about increasing the number of applications at a lower cost, but about making meaningful protection more accessible while maintaining the requirement for legal judgment. Founders would benefit from asking their firms how they combine AI tools with legal expertise, rather than focusing solely on the use of AI.