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Copyright Audit & Remediation Service (Human-Led)

A specialized legal-operations firm that conducts deep copyright audits of open source codebases, identifies missing or conflicting attribution, maps contributor ownership chains, and delivers a remediation playbook (not legal advice—process documentation). Maintainers pay per audit; the firm handles the grunt work of file-by-file review, contributor contact, and compliance documentation that lawyers currently charge $300–500/hour to do manually.

SERVICE

23 weeks • 70% confidence

Value Proposition

Eliminates the $50k–150k legal bill for in-house copyright review by offering standardized, repeatable audits at 1/3 the cost. Delivers a clear, auditable record that satisfies enterprise procurement and reduces litigation risk. Faster turnaround (2–4 weeks vs. 2–3 months with law firms) because the service is optimized for volume, not bespoke legal reasoning.

Target Audience

Mid-to-large open source projects (100+ contributors or 10k+ files), foundations stewarding multiple projects, enterprises adopting open source and needing legal due diligence before deployment

Key Features

  • File-by-file copyright statement audit against LICENSE file and SPDX declarations
  • Contributor history mapping (git blame + contributor agreement verification)
  • Conflict detection (e.g., GPL code in MIT project, missing attribution)
  • And more, with full implementation detail...

Tech Stack

Git command-line tools (git log, git blame) for contributor history SPDX license identifier database and validation tools (spdx.org) Spreadsheet software (Google Sheets, Excel) for audit tracking Simple file-scanning scripts (bash/Python) for copyright header detection
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Original Problem

Open source maintainers struggle to ensure proper copyright attribution and legal compliance across codebases

Open source developers and maintainers lack clear, standardized ways to document copyright ownership and licensing information in their projects, creating legal uncertainty and compliance headaches. Current solutions like manual copyright headers are inconsistent, error-prone, and difficult to audit at scale. This ambiguity exposes projects to licensing disputes and makes it risky for enterprises to adopt open source software.

Score: 51.3%

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