Principal, Document Standards & Quality

RELX•Raleigh, NC

About The Position

The Principal, Document Standards & Quality owns the Document Quality System that enables AI and engineering teams to produce professional, usable documents. The role translates expert judgment about document quality into standards, reference documents, and measurable specifications that can be implemented and tested. It establishes formatting conventions for distinct document families, assesses AI-generated documents, creates gold-standard references, and develops a quality score in collaboration with engineering. The Principal also serves as the standards owner, adjudicating disputes, reviewing templates, and representing document quality in product and model-evaluation decisions. The position is part of LexisNexis Legal & Professional, a provider of legal, regulatory, and business information and analytics serving customers in more than 150 countries. The company is part of RELX and develops AI and advanced technology solutions for the legal market. The role offers flexible working hours. The U.S. national base pay range is $95,300–$158,800, with geographic differentials potentially applicable. The position is eligible for an annual incentive bonus.

Requirements

Deep expertise in professional document production, such as legal document production, publishing, technical or editorial design, or knowledge management, with a track record of setting standards.
Expert command of Word-style structure, including style-linked numbering, multilevel lists, sections, headers and footers, tables of contents and authorities, cross-references, and tracked changes.
Strong typographic and information-design judgment, with the ability to explain why a document element is wrong.
Sound judgment across professional domains, including familiarity with legal and financial document conventions.
Experience in a large law firm, legal operations, or legal technology.
Experience with document automation, template systems, or design systems.
Familiarity with programmatic document generation, including OOXML and PDF, and sufficient technical fluency to review output at the file level.
Prior work evaluating or improving AI-generated content.

Responsibilities

Define canonical document standards for typography, hierarchy, whitespace, tables, lists, headings, citations, pagination, headers and footers, exhibits, and numbering.
Develop a document taxonomy and define formatting conventions for document families such as legal briefs, contracts, client memos, and research reports, identifying shared and distinct conventions.
Review several hundred AI-generated documents, classify formatting defects by type, severity, and root cause, and report patterns.
Create human-crafted gold-standard reference documents for each document type and version them as test fixtures for AI and engineering teams.
Write explicit, testable document specifications, including rules for heading behavior, tables, orphaned headings, page breaks, and style-linked numbering.
Prioritize genuine document structure, including styles, numbering, and sections, over manual visual formatting.
Develop a Document Quality Score covering structural integrity, visual hierarchy, consistency, readability, template compliance, and editability.
Collaborate with engineering to make document quality measurable and automatable where possible and calibrate scoring against human expert judgment.
Adjudicate standards disputes, review new templates, and represent document quality in product and model-evaluation decisions.