Tangibly is a genuine legaltech/IP vendor focused on trade secret governance rather than patents, trademarks, or broad CLM. Its core pitch is that companies already hold valuable trade secrets in models, code, formulas, processes, know-how, and datasets, but cannot systematically identify them, prove they used reasonable protection measures, or build an enforcement record when theft occurs. The platform combines AI-assisted discovery with trade secret management workflows around inventory, access control, confidentiality language, offboarding, enforcement prep, and audit traceability. Tangibly’s strongest fit is with in-house counsel, IP leaders, and legal ops inside innovation-heavy companies, not with traditional law firms. Evidence is stronger than the typical early-stage stub: LawNext covered the launch as a first platform dedicated to systematic trade secret management; G2 has a live listing with reviews; Tangibly runs education specifically for in-house counsel; Mintz has a published partnership around trade secret identification and management; and the company announced a 2026 litigation-finance partnership with SIM IP. The keyword data is a known collision: ‘tangibly’ is a common adverb and the local keyword file correctly reduces effective volume to 0. The vendor is still clearly real, with LinkedIn traction and focused product-market fit.
Company Info
- Founded: 2021
- Team size: 11-50 employees
- Funding: $17.4M
- HQ: United States
- Sector: IP
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Tangibly is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Tangibly addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
AI company has spent 5 years building proprietary models, training data pipelines, prompts, evaluation methods, and internal playbooks — but when the GC asks 'what exactly are our trade secrets, where do they live, and can we prove we took reasonable measures to protect them?' nobody has a defensible answer because the know-how is scattered across Git repos, shared drives, employee laptops, and people's heads
Senior engineer quits for a direct competitor and the company suddenly needs to know which trade secrets that person touched, what confidentiality terms they agreed to, whether offboarding actually shut down access, and what evidence exists before sending a demand letter or seeking an injunction — but the paper trail is split across HR files, NDAs, access logs, and scattered spreadsheets, so the legal case is weaker than it should be
Where it fits in your workflow
Before Tangibly
Innovation-heavy company realizes its most valuable know-how is not well inventoried or protected and that patenting is not the right answer for all of it.Trigger events include AI governance work, open-source review, fundraising or M&A diligence, employee departures, and suspected trade secret theft.
After Tangibly
Legal and IP teams use the inventory to improve confidentiality language, restrict access, train employees, and document reasonable measures.If misappropriation is suspected, the same system feeds outside counsel, demand letters, or litigation-finance/enforcement workflows.
Integrations & hand-offs
R&D / product / security / HR identify sensitive know-how -> Tangibly inventory and controls -> legal/IP governance -> enforcement or diligence readiness.Contract and policy review -> trade secret mapping -> access/offboarding controls -> evidence package for disputes.
Community Data
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