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LEXDANA.AIManage supplier listing
LexDana — Structured, citation-anchored legal-position data reconstructed from pharmaceutical patent disputes across prosecution, PTAB, ITC, district court, and Federal Circuit records -- claim-meaning evolution, scope-narrowing statements, firm activity in IPRs, and Orange Book/ANDA exposure mapped with line-and-page citations.. Very small, solo-founder early-stage legal-tech startup: 1 employee (Apollo), Santa Monica based, no disclosed funding, alpha-stage product with named case studies (e.g. Salix Pharmaceuticals v. Norwich Pharmaceuticals).. Use cases: Pharma patent-litigation risk asse…
Structured, citation-anchored legal-position data reconstructed from pharmaceutical patent disputes across prosecution, PTAB, ITC, district court, and Federal Circuit records -- claim-meaning evolution, scope-narrowing statements, firm activity in IPRs, and Orange Book/ANDA exposure mapped with line-and-page citations.
Scale Millions of pages of prosecutionFrom 20 yearsCoverage Health Care
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LexDana — Structured, citation-anchored legal-position data reconstructed from pharmaceutical patent disputes across prosecution, PTAB, ITC, district court, and Federal Circuit records -- claim-meaning evolution, scope-narrowing statements, firm activity in IPRs, and Orange Book/ANDA exposure mapped with line-and-page citations.. Very small, solo-founder early-stage legal-tech startup: 1 employee (Apollo), Santa Monica based, no disclosed funding, alpha-stage product with named case studies (e.g. Salix Pharmaceuticals v. Norwich Pharmaceuticals).. Use cases: Pharma patent-litigation risk asse…
LexDana offers (Alternative, Reference) — Millions of pages of prosecution, PTAB, ITC, district court, and Federal Circuit records reconstructed into structured positions (stated directly on page), built atop the Patexia litigation-data corpus..
Pharma patent-litigation risk assessment, Markman brief preparation, IPR/PTAB firm-activity benchmarking, Orange Book/ANDA exposure analysis, training ground truth for a legal-document NLP/claim-construction model.
The data is with 20 years of history.
Coverage spans US; Pharmaceuticals; alternative, reference; equities.
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