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LexisNexis Legal & Professional

Legal, government, and business intelligence platform

Data Discovery and Enrichment Expert – SEP Intelligence Lead

Data ManagementConfirmed live in the last 24 hours
Full-time€71.6k - €119.4kIn-person

About the Job

Requirements

  • Recognized expertise in Data Discovery and Enrichment, with a track record of independently leading taxonomy, classification, or content enrichment projects.
  • Direct practitioner experience in at least one of FRAND licensing or negotiation, technical SEP essentiality analysis, or SEP portfolio management at a patent holder, implementer, law firm, or patent pool.
  • Working knowledge of at least one major standards body and its associated patent ecosystem: 3GPP/ETSI (4G/5G), IEEE (Wi-Fi, Ethernet), MPEG or AOM video codecs, JEDEC, or ITU.
  • Experience analyzing patent portfolios at scale, not only individual patents.
  • Ability to articulate technical quality judgments in precise written form suitable for evaluation calibration and governance documentation.
  • Ability to work across engineering, product, and legal functions without relying on formal authority.
  • Bachelor's degree in engineering, computer science, law, or a related technical field, or equivalent professional experience.

Responsibilities

  • Act as the primary driver of Data Discovery and Enrichment projects and results for SEP and standards-related content, directly supporting SEP content expansion.
  • Define and maintain quality evaluation standards for SEP question classes—including essentiality assessment, royalty range analysis, FRAND exposure, and SEP portfolio intelligence—against which AI model outputs are measured.
  • Author acceptance criteria for new AI capabilities before engineering begins and participate in sprint planning as a named quality authority.
  • Build and maintain the curated evaluation question set used across automated testing and release governance regimes.
  • Calibrate automated evaluation systems by reviewing AI outputs against expert judgment and documenting overrides with traceable reasoning.
  • Hold release gate authority for SEP question classes, preventing AI updates that fall below the defined quality bar from proceeding to production.
  • Define and maintain the methodology for SEP landscape construction, including technology scoping, classification logic, and completeness criteria; deliver bespoke landscape engagements for high-value customer projects; and own the quality benchmark for automated landscape generation as classification technology matures.
  • Lead quarterly structured sessions with FRAND practitioners, licensing executives, and patent pool representatives to identify new failure modes and align evaluation criteria with practitioner expectations.
  • Collaborate with Product Management, Engineering, and Data Science teams as a quality authority throughout the product development lifecycle.

About the Company

LexisNexis Legal & Professional

Legal, government, and business intelligence platform

LexisNexis Legal & Professional provides legal, government, business, and high-tech information through subscription-based access to a vast repository of licensed news publications and corporate data. Its offerings, such as Nexis AI, enable advanced research, intelligence gathering, and automatic document summarization for professionals in law firms, corporations, government agencies, and academic institutions. The platform works by delivering curated information and insights from millions of companies and publications via a search and analysis interface, helping users find accurate information quickly. The company differentiates itself with a long history of service, a broad, licensed data library across multiple sectors, and AI-powered tools that streamline research and decision-making. Its goal is to help clients make informed decisions, achieve a competitive advantage, and boost efficiency by providing trusted information and tailored analytics.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$30M
Headquarters
New York City, New York
Founded
1973

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