Principal, Document Standards & Quality

Do you care deeply about the details that turn a document from merely readable into truly professional? Would you like to define the standards that help AI-generated documents look, behave, and edit like the work of a domain professional? About our Team Lexis Nexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers.

Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ().

You will own the Document Quality System that enables AI and engineering teams to produce professional, usable documents. You will translate expert judgment about document quality into clear standards, reference documents, rules, and measurable specifications that can be built and tested.

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. 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  Please read our Candidate Privacy Policy.

• Define "good."
• Write the canonical standards for typography, hierarchy, whitespace, tables, lists, headings, citations, pagination, headers and footers, exhibits, and numbering.
• Build a document taxonomy.
• Define a distinct formatting grammar for each document family (legal briefs, contracts, client memos, research reports, and others).
• Each gets its own conventions, and you decide where they share a base and where they diverge.
• Audit AI output.
• Review several hundred generated documents and build a failure taxonomy.
• Classify every formatting defect by type, severity, and root cause, and report the patterns.
• Create gold-standard documents.
• Produce human-crafted reference documents for each document type, and version them as test fixtures for AI and engineering teams.
• Turn judgment into rules.
• Write explicit, testable specifications, for example how Heading 2 behaves, what tables may never do, no orphaned headings, page-break behavior, and numbering that stays linked to styles rather than being typed by hand.
• Favor real document structure (styles, numbering, sections) over manual visual formatting.
• Create the quality score.
• Develop a Document Quality Score covering structural integrity, visual hierarchy, consistency, readability, template compliance, and editability.
• Work with engineering to make it measurable, automatable where possible, and calibrated against human expert judgment.
• Be the standards owner.
• Adjudicate disputes, review new templates, and represent document quality in product and model‑evaluation decisions.

• Deep expertise in professional document production, such as legal document production, publishing, technical or editorial design, knowledge management, or a similar field, with a track record of setting standards rather than just…