Resources

Free, searchable archive of US court documents from the Free Law Project. Pull complaints, motions, and opinions for any case we track.

Federal court filings database. Paid but authoritative; the source of record for federal docket activity, including all four pending US AI copyright suits.

Case law database for the CJEU and General Court. Where European-level disputes around the AI Act and Database Directive will surface.

Official portal for EU legal texts. Authoritative source for the AI Act (Regulation 2024/1689), Database Directive, and DSM Directive.

The Office's practical rulebook for registration. Sections 306 and 313.2 govern AI-assisted works; updated 2024.

Daily journal of agency rulemaking. NIST, FTC, FDA, and SEC AI guidance is published here before final form.

The primary pre-print archive for legal scholarship. Search "generative AI copyright" for the active scholarly conversation.

Technical and policy research bridging the engineering and legal sides of frontier AI. Publishes the Foundation Model Transparency Index.

Interdisciplinary research on technology policy, with significant AI work from Arvind Narayanan, Solon Barocas, and others.

Peer-reviewed legal scholarship at the intersection of law and emerging tech. Several landmark AI articles published here in 2023–2025.

Hosts ongoing research on AI accountability, deepfake regulation, and platform governance. The Knight Institute's First Amendment work is notable.

Critical research on AI's social implications. Their reports on labor, bias, and governance frequently inform legislative drafting.

Civil liberties advocacy on digital rights. EFF's amicus briefs in the AI cases consistently argue for fair use and against copyright maximalism.

Professional organization representing writers. Plaintiff in multiple class actions against AI labs; instrumental in the academic-licensing pilots.

Licensing frameworks for content reuse. Has published frameworks for AI training data preferences, including the proposed CC Signals.

International IP policy coordination. WIPO's Conversation on IP and AI tracks treaty-level proposals across member states.

Standards body for cryptographic content provenance. C2PA spec is the de facto standard referenced by EU AI Act labeling requirements.

Industry-academic consortium publishing voluntary frameworks for AI development, including media-integrity guidance.

Legal services for open-source projects, including those releasing model weights. Relevant for AI labs navigating the open-source / proprietary boundary.

AI text detection service used by educational institutions. Independent third-party evaluations show meaningful false-positive rates on non-native English writing.

Commercial AI detection focused on publishing and content marketing. Provides confidence scores and passage-level flagging.

The most-deployed academic-integrity AI detection product. Documented in major university policy frameworks but criticized for opacity.

Image, audio, and video AI detection for trust and safety teams.

Industry initiative implementing C2PA-based content provenance in creative tools. The most widely deployed implementation of cryptographic provenance.

Camera and capture-time provenance solutions, including a SDK for capturing C2PA-signed images at the source.

Comprehensive academic treatment of training fair use. The most-cited article in the post-2023 wave of AI copyright scholarship.

Argues for a safe-harbor architecture analogous to DMCA §512 for AI training. Influential in legislative discussions.

Doctrinal analysis of output-side infringement and the derivative-works doctrine in the AI context.

Foundational article on the human-authorship requirement and its application to AI-generated works.

Argues that machine learning on copyrighted works is generally fair use, with significant influence on defendant briefs.

Pre-modern-AI but durably useful framework for thinking about authorship in computational contexts.