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Patent Protection for AI and Software Solutions in Vietnam: Eligibility Requirements

Patent Protection for AI and Software Solutions in Vietnam: Eligibility Requirements usually arises against the background where the company’s product team has built an AI model optimising a production line and wants to know which parts can be patented in Vietnam instead of merely kept secret.

Rather than a generic overview, the content below follows patent protection for AI and software solutions across four layers: the governing instruments, their application to a real file, an implementation sequence that does not get sent back, and answers to the questions clients ask most about patent protection for AI and software solutions.

The legal framework governing patent protection for AI and software solutions

The Law on Intellectual Property No. 50/2005/QH11 (as amended in 2009, 2019, 2022 and by Law 131/2025/QH15) together with Decree 65/2023/ND-CP is the framework for establishing and enforcing rights in patent protection for AI and software solutions, and within it the principle to hold is that the Law on Intellectual Property excludes computer programs and purely intellectual methods from patentable subject matter, yet a technical solution using software to control equipment or process technical data producing a concrete technical effect can still be examined as an invention if the claims are written around that technical effect One practice point to remember about patent protection for AI and software solutions is that every document signed around the issue of can AI solutions and algorithms be patented in Vietnam must be consistent with the particulars registered at the business and investment registries, because a single small discrepancy can stall the next step of patent protection for AI and software solutions.

Substantive examination is a door the application must ask to open: Article 113 of the Law on Intellectual Property (amended by Law 131/2025/QH15) fixes a thirty-six-month request window plus the examination fee, and patent protection for AI and software solutions must be scheduled around that door because the company’s product team has built an AI model optimising a production line and wants to know which parts can be patented in Vietnam instead of merely kept secret Testing against the issue of what conditions must software meet for patent protection (technical effect) shows that the line between internal work and registrable work in patent protection for AI and software solutions is drawn by the original documents, so the company must lock its legal basis before signing any commitment binding towards a third party.

Most disputes around patent protection for AI and software solutions ultimately return to three provisions of the Civil Code No. 91/2015/QH13: Article 3 on freedom of commitment, Article 418 on breach penalties and Article 419 on damages for breach of contract, and whoever drafts for patent protection for AI and software solutions must write so that filing an application describing the algorithm at an abstract level unattached to a concrete technical problem almost certainly draws a subject-matter refusal, while the filing itself publishes the model architecture the company should have kept as a trade secret Seen from the registry’s side, the file for patent protection for AI and software solutions is judged first on consistency, and the issue of should AI be protected by patent, copyright or secrecy is where that consistency breaks most easily if the company does not self-review before filing.

Analysing the questions investors ask around patent protection for AI and software solutions

The question of can AI solutions and algorithms be patented in Vietnam deserves its own internal paper for patent protection for AI and software solutions, stating the basis, the responsible owner and the completion mark, instead of an oral answer in a meeting that each person remembers differently. On the question of what conditions must software meet for patent protection (technical effect), the answer cannot be separated from the specific file of patent protection for AI and software solutions, because the same issue placed in two companies with different licences and tax histories yields two different handling conclusions.

With the question of should AI be protected by patent, copyright or secrecy, the common mistake is copying the approach of a similar deal in another market, while patent protection for AI and software solutions in Vietnam is governed by the registered documents and the applying practice of the local authority where the company sits. The question of what examples of AI patents have been granted in Vietnam sounds simple yet decides the true cost of patent protection for AI and software solutions, because getting this point wrong forces the company back into amending registrations, re-finalising tax or renegotiating with partners when everything seemed done.

Advisory practice shows patent protection for AI and software solutions usually fails not at a big step but at one small postponed detail, and that detail almost always belongs to the group of issues the question of should AI be protected by patent, copyright or secrecy touches.

A safe implementation sequence for patent protection for AI and software solutions

  • Review the complete original file relating to patent protection for AI and software solutions, including signed contracts, licences in force, accounting books and obligations still open, to fix the legal picture before committing to anything towards a third party.
  • Test the plan for patent protection for AI and software solutions against the company charter, the current enterprise registration certificate and investment registration certificate, recording clearly which contents need internal approval or registration adjustment before implementation.
  • Settle in advance the open issues clients ask about most around patent protection for AI and software solutions, in particular should AI be protected by patent, copyright or secrecy, through a clear written agreement or resolution instead of leaving them to each party’s default reading when a dispute erupts.
  • Carry out the registrations and change notifications relating to patent protection for AI and software solutions at the correct authority in their proper dependent order, and update the bank holding the investment capital account if the deal’s cash flows pass through it.
  • Close out patent protection for AI and software solutions with a completion file under a handover record, containing the approved registration documents, tax vouchers and a list of obligations surviving the transaction, retained for the statutory period for later inspections.

Risks to anticipate in patent protection for AI and software solutions

The most distinctive risk of patent protection for AI and software solutions lies in the following point. Filing an application describing the algorithm at an abstract level unattached to a concrete technical problem almost certainly draws a subject-matter refusal, while the filing itself publishes the model architecture the company should have kept as a trade secret. The second risk of patent protection for AI and software solutions rarely sits in the documents the parties sign with each other but in the state obligations running underneath in parallel, such as tax finalisation, the labour plan or licence adjustments, and it is that layer that returns as back-tax or penalties after patent protection for AI and software solutions has closed. The third risk of patent protection for AI and software solutions lies in the issue of what conditions must software meet for patent protection (technical effect) when it is settled only orally between project teams: each side remembers a different version, and when interests collide no version is strong enough to serve as evidence.

In short, patent protection for AI and software solutions is only safe when the company handles all three layers together, the legal basis, the supporting file and the registration sequence, instead of optimising one layer and letting the other two become the bottleneck at completion. Before starting on patent protection for AI and software solutions, the investor should require a written mapping of the intended plan against the legal instruments in force on the implementation date, because that mapping is the document that best protects the company when regulators or partners ask questions later.

Frequently asked questions: patent protection for AI and software solutions

Can AI solutions and algorithms be patented in Vietnam?

For the question of can AI solutions and algorithms be patented in Vietnam, the safe principle for patent protection for AI and software solutions is not to commit towards a third party before the legal basis and the handling plan are locked in writing, because an oral commitment is worth almost nothing once a dispute arises. More specifically, the Law on Intellectual Property excludes computer programs and purely intellectual methods from patentable subject matter, yet a technical solution using software to control equipment or process technical data producing a concrete technical effect can still be examined as an invention if the claims are written around that technical effect.

What conditions must software meet for patent protection (technical effect)?

On the question of what conditions must software meet for patent protection (technical effect), the first thing to clarify for patent protection for AI and software solutions is whether it belongs to the basis layer, the file layer or the sequence layer, because each layer needs a different kind of evidence to answer and carries a different risk if answered wrongly. More specifically, the company’s product team has built an AI model optimising a production line and wants to know which parts can be patented in Vietnam instead of merely kept secret.

Should AI be protected by patent, copyright or secrecy?

The question of should AI be protected by patent, copyright or secrecy is usually asked by clients at the end of preparing patent protection for AI and software solutions, yet experience shows it should be answered at the beginning, because its answer changes how every remaining step is arranged. More specifically, filing an application describing the algorithm at an abstract level unattached to a concrete technical problem almost certainly draws a subject-matter refusal, while the filing itself publishes the model architecture the company should have kept as a trade secret.

What examples of AI patents have been granted in Vietnam?

Answering directly the question of what examples of AI patents have been granted in Vietnam: in patent protection for AI and software solutions, the first point to lock is the legal basis and original file of this very case, because conclusions drawn from another deal are reference only and cannot replace checking the instruments currently in force. More specifically, procedurally, the company must close out the whole file chain of patent protection for AI and software solutions, from the written agreement and registration with the competent authority to document retention, because a single missing link is enough to have the entire plan sent back to the start.

This article has been quality-reviewed by the FLAW AI Legal Council