Trade secrets, from creation
backed by legal evidence.
Help your company’s trade secrets qualify for legal protection.
A trade secret management platform that documents the entire lifecycle—from creation to use, storage, and proof.
Built for every industry that competes on technology
- Semiconductors & electronics
- Chemicals & materials
- Biotech & pharmaceuticals
- Machinery & robotics
- Software & AI
- Defense & aerospace
- Content & platforms
(02) Our commitment
Brandeis AI goes beyond a security system.
It is a platform designed to build legal evidence.
Verification you can cite
Every registration is cross-checked against patent and academic publication databases. Non-Publicity is supported by traceable evidence, rather than assertion alone.
Designed around legal requirements
Built around three legal requirements that can determine the outcome of a case: Reasonable Measures to Maintain Secrecy, Non-Publicity, and Independent Economic Value.
Management for the long term
Management records remain continuous as staff change and years pass. Records sealed with a hash chain provide evidence of that continuity.
(01) Why it matters
A leak can happen in an instant. Proving your case can take years. Brandeis AI starts building evidence for court from the moment a document is created.
Replace scattered NDA folders, locked cabinets, and handwritten audit checklists with one secure workspace. Evidence of Non-Publicity, Independent Economic Value, and Reasonable Measures to Maintain Secrecy accumulates automatically throughout each document’s lifecycle.
The choice
Disclose it,
or keep it secret.
Every technology asset presents a choice: a patent offers 20 years of exclusivity in exchange for disclosure; a trade secret can remain protected indefinitely while it stays secret. Once you choose trade secret protection, Brandeis AI begins documenting its management and building evidence to support that decision in court.
Product preview
From Non-Publicity verification
to sealed evidence.
Follow the essential steps that turn a document into a trade secret and evidence for court.
Non-Publicity established
Closest prior art: 38% similarity — no issues found · assessment evidence retained
Non-Publicity analysis
Automatically compare patents, publications, and public web sources, preserving the Non-Publicity assessment, its evidence, and the time of assessment.
Registered — BRS-2026-00004
Registration timestamp fixed · document hash locked · TSA timestamp recorded
Trade secret registration — three requirements
Confirm Non-Publicity, Independent Economic Value, and Reasonable Measures to Maintain Secrecy, then issue a permanent registration number and freeze the registered state.
Sealed — EP-2026-0018
Sealed ZIP hash: 445ed5cf…545b · tampering causes a hash mismatch
Legal evidence package
Assemble and seal the full management record. Serial numbers and hashes enable independent verification.
These simplified demos illustrate how the product works. Actual product screens may differ.
What companies entrust to Brandeis AI
“The right to hold trade secrets is the reason Brandeis AI exists.”
The following scenarios are fictional illustrations, not actual customer cases.
Built for the moments that matter.
Leak response
An employee nearing departure accesses large volumes of documents before dawn. Anomaly detection flags the activity, and access records become evidence.
Semiconductor equipment manufacturer
M&A due diligence
A Non-Publicity verification report supports the value of core technology during M&A technical due diligence.
Biomaterials company
R&D compliance
Lifecycle records of the creation, viewing, and export of government-funded R&D outputs support compliance with contractual security obligations.
AI software company
Enterprise-grade security. Continuous records.
Every tenant includes hash-chain audit logs, R1–R5 classification-based access controls, NDA signatures before viewing, and trusted timestamps (TSA). Each control is designed to produce records that can be used in court.
Hash-chain audit logs
All activity is sealed in a hash chain. The architecture prevents modification and deletion; tampering breaks the chain and becomes detectable.
Trusted timestamps (TSA)
Trade secret registration is recorded with an RFC 3161 trusted timestamp token, allowing a third party to verify when you held the information.
R1–R5 access controls
Viewing and editing are controlled by security classification and role. Records show who can access which information.
NDA signature gate
Confidential documents require a signed NDA before viewing. Signature records are retained to prevent later denial.
— Security architecture
See where your data lives and how it is protected.
Choosing where to entrust your trade secrets should be based on the security architecture. From storage location to audit logs, we disclose the controls currently in place.
Storage location
ImplementedData is stored in South Korean regions, such as AWS ap-northeast-2, as a rule. Any transfer of data outside South Korea is explicitly disclosed in the contract.
Encryption
ImplementedData in transit uses TLS 1.2 or later; stored data is encrypted with AES-256. Each document uses a separate encryption key, which is wrapped with an AWS KMS master key for storage.
Access controls
ImplementedRole-based access control (RBAC) provides granular viewing permissions. Administrator access by Brandeis AI staff is also logged without exception.
Tenant isolation
ImplementedEach customer’s data is stored in complete logical isolation. The architecture prevents access between customers even on shared infrastructure.
Audit logs
ImplementedViewing, download, and sharing history is recorded in immutable, append-only logs. These logs can serve as evidence of Reasonable Measures to Maintain Secrecy in litigation.
— About this service
Brandeis AI does not replace legal advice
Analyses, classifications, and scores are data-based indicators of management practices. They do not provide legal determinations or guarantee litigation outcomes.
For informational purposes
The three-requirement dashboard, AI security classifications, and anomaly detection results provide information about your internal management practices. They are not legal conclusions about any specific matter.
Seek professional advice
Consult a qualified professional, such as an attorney, before making decisions about disputes, litigation strategy, or contract reviews. This service does not replace professional judgment.