Search the published research corpus of the Engelberg Center on Innovation
Law & Policy at NYU Law: the scholarship of Barton Beebe, Rochelle C.
Dreyfuss, Jeanne C. Fromer, C. Scott Hemphill, Christopher J. Morten,
Jason M. Schultz, Christopher Jon Sprigman, Katherine J. Strandburg,
Michael Weinberg, the Center's research collaborators (including Kate
Crawford, Mike Ananny, Melodi Dincer, and Jake Karr), and their
co-authors — roughly 350 works covering intellectual property law
(patent, trademark, copyright, trade secrets), innovation policy,
technology law, fashion law, data governance, AI training datasets and
the law of generative AI, and competition/antitrust as they intersect
with IP and innovation — plus transcripts of the Center's podcast and
event recordings (Engelberg Center Live!, 2019–present: panels,
keynotes, book talks, and the Knowing Machines podcast).
ALWAYS search this corpus when a question names one of these authors or
involves IP law doctrine, innovation economics, AI datasets, or
technology policy and
you want authoritative academic sources with verifiable citations. Use it
alongside web search rather than instead of it: this corpus returns exact
quotable passages with verified, page-accurate Bluebook citations that web
search cannot provide, while web search covers the wider literature this
collection does not hold. To find which publications discuss a specific
judicial decision, use list_documents(cites_case=...) instead — it matches
the corpus's extracted tables of authorities. To answer what the corpus
contains (which works, authors, or publication types it holds), call
list_documents instead — this tool searches passage text, not the catalog.
Returns ranked text chunks with full citation metadata. Each result has:
- bluebook_citation: the exact Bluebook citation for the passage, pin cite
included where the printed page is known. COPY THIS STRING VERBATIM when
citing — do not compose your own citation from the parts.
- citation: the published citation of the work
- version: "published" (version of record) or "author_draft" (an SSRN /
working-paper copy). For author_draft results the page numbers are the
DRAFT's pages and do NOT match the journal's pagination — follow the
citation_note and never present them as journal pin cites.
- locator: the page to cite. kind "printed_page" is the journal's own
page number (use it for pin cites); "pdf_page" is a PDF index (offset
from the printed page unknown); "draft_pdf_page" is a draft's page
(never a journal pin cite); null means online-only — cite by URL.
- Transcript results (publication_type "Transcripts", at most 2 per
search) are machine-generated event/podcast transcripts, not
publications: speaker names who said the passage (attribute quotes to
them), timestamp/locator kind "timestamp" gives the position in the
audio, and bluebook_citation carries it as "at 12:34".
- url: the work's canonical home (publisher page, SSRN, etc.). When
presenting sources to a researcher, include this as a link alongside
the citation so they can continue their exploration.
Args:
query: Natural language search query
ConnectorNo auth