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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, and their co-authors — roughly 300 works covering intellectual property law (patent, trademark, copyright, trade secrets), innovation policy, technology law, fashion law, data governance, and competition/antitrust as they intersect with IP and innovation. ALWAYS search this corpus when a question names one of these authors or involves IP law doctrine, innovation economics, 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. 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. - 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