An automotive Tier 1 supplier develops a novel sensor fusion algorithm that reduces false positive rates in its forward collision warning system by 40 percent versus the industry baseline. A robotics startup invents a new approach to real-time path planning that runs within the compute budget of a microcontroller. A power electronics company discovers an embedded control technique that extends battery cycle life by 15 percent.
In each case, the engineering team has created something genuinely valuable. The legal question — whether to protect it as a trade secret, pursue a patent, or pursue both — is one of the highest-stakes IP decisions the company will make. The wrong choice can mean giving away competitive advantage, spending money on protection that does not hold, or losing rights entirely through inadvertent disclosure.
What Trade Secret Protection Actually Provides
A trade secret is any information that derives independent economic value from not being generally known, and that is the subject of reasonable efforts to maintain its secrecy. Under the Defend Trade Secrets Act of 2016 (DTSA or 18 U.S.C. § 1836 et seq.) and the Uniform Trade Secrets Act (UTSA) adopted in most states, trade secret protection is immediate, costs nothing to obtain, has no expiration date, and covers a broader range of subject matter than patents.
For algorithms, trade secret protection is particularly attractive because it covers the mathematical method itself — not just a specific implementation — as long as the method remains secret. A patented algorithm, by contrast, must be disclosed in the patent application, and the claims define the precise scope of protection. Anything outside the claims is free for competitors to use.
The fundamental limitation of trade secret protection is that it provides no protection against independent discovery or reverse engineering. If a competitor develops the same algorithm independently, or if a customer who purchased your product reverse-engineers it legally, your trade secret is gone and you have no recourse.
What Patent Protection Actually Provides
A utility patent (35 U.S.C. § 111) grants the right to exclude others from making, using, selling, or importing the claimed invention for 20 years from the filing date (35 U.S.C. § 154(a)(2)) — regardless of whether they developed it independently. In exchange, the invention must be publicly disclosed in sufficient detail to enable a person skilled in the relevant field to practice it.
For algorithm patents, the critical threshold is patent eligibility under 35 U.S.C. § 101 as interpreted after Alice Corp. v. CLS Bank International, 573 U.S. 208 (2014). Abstract ideas, mathematical concepts, and mental processes are not patentable. An algorithm implemented in software is not automatically an abstract idea — but it must be claimed in a way that amounts to significantly more than the abstract mathematical concept alone. This requires careful claim drafting and, frequently, anchoring the claims to specific technical improvements in the functioning of the embedded system or the computer itself.
The good news for embedded systems engineers: algorithms that produce concrete, specific technical improvements to hardware performance — reduced power consumption, improved timing determinism, faster interrupt response, better sensor signal quality — are generally more defensible under §101 than pure data processing or financial calculation algorithms. The specific technical domain of your algorithm matters enormously in claim strategy.
The Decision Framework
When advising embedded systems companies on this choice, I apply a set of factors in roughly this order:
Factor 1: Can the algorithm be reverse-engineered from the product?
If yes — if a competitor can purchase your product, run it through a logic analyzer, extract the firmware, and reconstruct the algorithm — trade secret protection provides weak protection at best. Once the product ships at scale, the secret is effectively available to any sufficiently motivated competitor. In this case, a patent gives you something trade secrets cannot: the right to exclude even independent discoverers.
For many embedded systems, the answer is "it depends on the adversary." An Automotive Safety Integrity Level D (ASIL-D) braking control algorithm implemented in custom silicon is far harder to reverse-engineer than an algorithm implemented in a commodity microcontroller with standard debugging interfaces. The practical security of the implementation matters to the trade secret analysis.
Factor 2: How long is the competitive window?
Patents take 18 months to publish from filing and typically 2–4 years to issue. If your competitive advantage has a 12-month shelf life — because the field moves fast enough that everyone will have a similar solution in a year — the patent prosecution timeline works against you, and you will have spent the filing fees while disclosing your method to competitors who can immediately design around the published application.
Trade secret protection, by contrast, is immediate and lasts as long as the secret holds. For rapidly evolving algorithms in machine learning and signal processing, keeping the method secret while iterating aggressively may provide more durable competitive advantage than a patent on Version 1.0 of an approach that will be superseded before the patent issues.
Factor 3: Is the algorithm detachable from the implementation?
Some algorithms are so tightly coupled to specific hardware — a particular DSP architecture, a specific set of sensor characteristics, a proprietary SoC — that a competitor who obtained the algorithm description still could not practice it without the hardware. In this case, the algorithm may be less valuable as a standalone patent and more effectively protected as part of a broader trade secret encompassing the hardware-software system.
Factor 4: What is the licensing potential?
If you intend to license the algorithm — after conducting a freedom-to-operate (FTO) analysis — to competitors or non-competing companies in adjacent markets, a patent is essential. You cannot license a trade secret without destroying the secrecy. Patents provide a defined, legally enforceable right that can be licensed with precision, valued by investors, and asserted in court against infringers.
guibert.law Insight
For most embedded systems companies, the answer is not trade secret or patent — it is trade secret and patent applied to different layers of the same innovation. Patent the system-level architecture and the specific novel claim elements that can survive §101 scrutiny. Protect the implementation details, the training data, the calibration methods, and the integration know-how as trade secrets. The two protections are complementary, not mutually exclusive.
The Employee and Contractor Dimension
Both trade secret and patent protection depend critically on proper employment and contractor agreements. IP assignment agreements must be in place before any work begins. Trade secret programs require documented confidentiality obligations, access controls, and exit procedures. Patent rights require proper inventorship identification and assignment chains.
The most common IP disaster I see in early-stage embedded systems companies is not the wrong protection choice — it is the complete absence of IP assignment agreements with the engineers who built the core technology, discovered later during Series A due diligence when it is expensive and sometimes impossible to fix.
Attorney advertising. The information in this post is provided for general informational purposes and does not constitute legal advice. Prior results do not guarantee a similar outcome. © 2026 guibert.law