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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Law, AI, and Intellectual Property
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

321 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
321 works in the cohort · of 4,299,418page 2 of 7

Labels cover 0 of 321 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 321 of 321 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
<p><span>The Ai-Copyright Trap</span></p>
Carys J. Craig
2024· preprint· de· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · metaepi_narrow+research_integrity+insufficient_payload
4
citations
affunlabeled
On Regulating Downstream AI Developers
Sophie Williams, Jonas Schuett, Markus Anderljung
2025· article· en· European Journal of Risk Regulation· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
LawKey — Law Constitution Chatbot
W Shamini Fernando, Mandinu Handapangoda, Nividula Samindi, Mahee Gamage, Dileeka Alwis
2024· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
Report of the 1st Workshop on Generative AI and Law
A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Chris Callison-Burch, Christopher A. Choquette-Choo +29 more
2023· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Robots in the Middle: Evaluating LLMs in Dispute Resolution
Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari, Jaromír Šavelka, Sébastien Meeùs, Mia Godet +1 more
2024· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Trustworthy and Responsible LLM
Blessing Ogbuokiri
2025· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
affaboutunlabeled
AI and Copyright
Donna Craig
2020· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Representation in <i>BioScience</i> Authorship
Stephen A. Gallo, James M. Verdier, Scott L. Collins
2022· article· en· BioScience· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
The Legal Innovation Sandbox
Cristie Ford, Quinn Ashkenazy
2024· article· en· The American Journal of Comparative Law· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About