We previously discussed which portions of an
artificial intelligence/machine-learning (“AI/ML”)
platform can be patented. Under what circumstances, however, is it
best to keep at least a portion of the platform a trade secret? And
what are some best practices for protecting trade secrets? In this
post, we explore important considerations and essential business
practices to keep in mind when working to protect the value of
trade secrets specific to AI/ML platforms, as well as the pros and
cons of trade secret versus patent protection.
Protecting AI/ML Platforms via Trade
Secrets
What qualifies as a “trade secret” can be
extraordinarily broad, depending on the relevant jurisdiction, as,
generally speaking, a trade secret is information that is kept
confidential and derives value from being kept confidential. This
can potentially include anything from customer lists to algorithms.
In order to remain a trade secret, however, the owner of the
information must follow