Bigid

Est. 2016 HQ New York, New York, United States Updated 2026-02-10
What it is

What It Does

BigID is a data security and privacy platform. It discovers, classifies, and maps sensitive data across an organisation’s environment, then applies governance, access control, and privacy-compliance workflows on top of it. The product is marketed around data security posture management (DSPM), privacy automation, and data governance for AI.

This is not a legal-practice tool. It sits in the enterprise data-security and compliance category. The relevance to legal teams is indirect: in-house privacy and compliance functions may use it to handle data subject access requests, map personal data, or support GDPR/CCPA obligations. It is not built for law firms, matter management, or legal drafting.

What We Found

The company was founded in 2016 and is based in New York. It operates in the data-security and network-security space rather than legal technology, and has been named to lists including the Forbes Cloud 100 and the Inc. 5000. Its integration partners include Microsoft 365, Google Cloud, Salesforce, Slack, and Box.

Who It’s For β€” Persona Workflows

In-House Legal Ops / Privacy
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Workflow fit: Data discovery and classification for privacy compliance β€”
              DSAR handling, personal-data mapping, GDPR/CCPA support.
Note: A security/privacy tool used by data teams, not a legal-workflow tool.
Law Firm (any size)
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Workflow fit: Not designed for legal practice. Skip this one.

Company Info

  • Founded: 2016
  • HQ: New York, New York, United States
  • Sector: Data security / privacy (not legal-practice software)

What We Haven’t Verified

  • Funding totals β€” reported figures vary across third-party sources; we have not confirmed a current number with the company.
  • Headcount and follower counts β€” not independently confirmed.
  • This page was assembled from publicly available information, not hands-on testing or practitioner feedback.
Integrations

Platforms Bigid integrates with. Depth β€” where curated β€” reflects how native the connection is. Uncurated entries render without a depth dot.

Deep β€” bi-directional API Medium β€” one-way sync / webhook Shallow β€” middleware / Zapier-class

Community ratings
Alternatives

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