Compliance & GRC

#67 rlegaltech500

Strac

Est. 2021 United States Updated 2026-02-10
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Strac

AI-native Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) platform. Core capabilities: sensitive data discovery across 40+ SaaS integrations (Slack, Google Workspace, Salesforce, Zendesk, Office 365, ChatGPT, GitHub), automated PII/PHI/PCI redaction, compliance monitoring (HIPAA, PCI-DSS, SOC 2, ISO 27001, CCPA, GDPR), endpoint DLP, and browser extension for GenAI protection. ML-driven detection across 100+ file types including images. Founded by Aatish M., YC-backed. $3.5M seed from Fika Ventures (CB Insights reports $4M). SOC 2 Type II certified. G2-listed with positive reviews (‘easy to setup’, ‘recommend these guys’). Pricing: enterprise per-user/endpoint model, $75-$150/employee/year range (per Strac’s own pricing guide). Competitors: Nightfall AI (#1 G2 alternative), Zscaler, BigID, Forcepoint, Digital Guardian. NARROW LEGAL RELEVANCE: serves IT security and compliance teams at enterprises, not legal practitioners. Legal department touchpoint limited to in-house privacy counsel and legal ops teams managing data governance obligations.

Company Info

  • Founded: 2021
  • Team size: 11-50 employees
  • Funding: $5.5M
  • HQ: United States
  • Sector: Gen, AIGovernance/Compliance/Risk Management

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, Strac is used in these workflows:

What practitioners struggle with

Real frustrations from legal professionals — the problems Strac addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.

Privacy team spends 3 months every year manually mapping data flows by sending questionnaires to engineering teams and chasing responses — by the time the data inventory is complete, engineering has shipped 20 new features and the map is already stale, leaving the DPO unable to answer a regulator's question about where personal data actually lives

Filing & Compliance 11 vendors affected In-house counsel · Legal ops · inhouse-enterprise · compliance-officer

When a consumer submits a GDPR or CCPA data deletion request, the privacy team has to manually trace where that individual's data lives across 50+ SaaS applications, databases, and third-party processors — missing even one system risks a regulatory fine, and the 30-day response deadline creates constant fire drills

Filing & Compliance 16 vendors affected In-house counsel · Legal ops · Government · Large firm (51–200)

Where it fits in your workflow

Community Data

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