Knowable AI Content Optimization Specialist II

Are you passionate about transforming complex legal reasoning into scalable AI systems that deliver trusted outcomes for customers?

Do you enjoy partnering across legal, product, engineering, and operations teams to build innovative contract intelligence solutions powered by AI?

About our Team

Knowable is the world leader in post signature contract management, helping enterprises easily understand the opportunities and commitments in tens or hundreds of thousands of legal contracts. Knowable combines AI with scaled legal expertise to translate legal language into actionable structured data that provides unparalleled visibility and insights through its award-winning Knowable Insights platform and simple APIs. With Knowable, enterprises receive a trusted Contract System of Record that delivers 98% guaranteed accuracy across their entire corpus of contracts. After its spinoff from ALSP leader Axiom, Knowable entered a joint venture with, and is now fully owned by, LexisNexis® Legal & Professional.

About the Role

This role translates complex legal reasoning into structured, production-ready LLM workflows that support contract intelligence at scale. You will work closely with legal subject matter experts, product managers, engineers, and data scientists to design AI-driven solutions that analyze contractual language, deliver reliable outputs, and create meaningful customer value. The position combines deep contract expertise with hands-on application ofAI technologies in real-world legal workflows.

Responsibilities

• Define high-impact use cases for applying LLMs to contract intelligence, including structured data capture, prompt and guidance formulation, failure pattern recognition and exception handling.
• Translate legal reasoning into structured LLM artifacts including 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 handling ambiguity, negotiated clause variants, and edge cases.
• Build evaluation frameworks covering accuracy, completeness, hallucination detection, evidence validation, and consistency.
• Integrate AI capabilities into operational workflows and support adoption, training, and performance monitoring.
• Serve as an AI-fluent legal domain expert and contribute to governance, documentation, and release readiness activities.

Requirements

• Experience in legal practice, contract review, contract intelligence, contract management, legal technology, or legal operations.
• Demonstrated fluency with 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.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve

Primary Location Base Pay Range: Home based-Illinois $90,900 - $151,700. If performed in Colorado, the base pay range is $86,600 - $144,400.If performed in Chicago, IL, the base pay range is $95,300 - $158,900.If performed in Maryland, the base pay range is $90,900 - $151,700.If performed in New York, the base pay range is $95,300 - $158,900.If performed in New York City, the base pay range is $103,900 - $173,300.If performed in Rochester, NY, the base pay range is $86,600 - $144,400.If performed in New Jersey, the base pay range is $102,333 - $163,467.If performed in Ohio, the base pay range is $82,300 - $137,200.U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.Application deadline is 01/01/2027.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Originally posted on Himalayas