Content Optimization Specialist II

Posted 1ds ago

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Job Description

Knowable AI specialist translating commercial contract expertise into production LLM workflows. Supporting LexisNexis legal-information and analytics solutions with evaluation, governance, and operational adoption.

Responsibilities:

  • Define high-impact use cases for applying LLMs to contract intelligence
  • Formulate prompts and guidance, recognize failure patterns, and handle exceptions
  • Translate legal reasoning into prompt architectures, structured output schemas, and evidence-grounded extraction requirements
  • Partner with Engineering and Data Science to move AI capabilities from prototype to production
  • Convert reviewer guidance, clause libraries, and data models into LLM-compatible specifications
  • Design approaches for ambiguity, negotiated clause variants, and edge cases
  • Build evaluation frameworks for accuracy, completeness, hallucination detection, evidence validation, and consistency
  • Integrate GenAI capabilities into operational workflows
  • Support adoption, training, and performance monitoring
  • Serve as an AI-fluent legal domain expert and contribute to governance, documentation, and release readiness

Requirements:

  • Experience in legal practice, contract review, contract intelligence, contract management, legal technology, or legal operations
  • Demonstrated fluency with Generative AI and LLM tools, including prompt design, structured outputs, grounding strategies, and model evaluation
  • Experience deploying LLM-powered workflows into production environments
  • Prior experience with contract analytics or contract intelligence platforms
  • Deep expertise in commercial contract analysis, including vendor agreements, procurement contracts, NDAs, and amendments
  • Ability to assess legal equivalence, materiality, and risk implications across clause variations
  • Experience translating legal judgment into structured systems such as schemas, taxonomies, rubrics, and decision trees
  • Ability to work cross-functionally with Product, Engineering, Data Science, and Operations stakeholders

Benefits:

  • Annual incentive bonus eligibility
  • Wellbeing initiatives
  • Shared parental leave
  • Study assistance
  • Sabbaticals
  • Flexible working hours
  • Country-specific benefits
  • Disability and other hiring-process accommodations