Legal Engineer - Chicago

Axiom Talent Platform•Chicago, IL

3d•$71,250 - $325,000•Onsite

About The Position

We are currently seeking an experienced Legal Engineer to lead the design and development of a practical, scalable enterprise risk taxonomy and operating model for a large, complex organizations. This role involves leading the development of a practical risk operating model spanning Legal, Engineering, Privacy, Compliance, AI Governance, and business functions. You will assess how risk is currently identified, classified, assessed, owned, governed, monitored, and evidenced across the organization. This includes inventorying existing risk terminology, categories, classifications, tags, fields, and data structures across current tools and business processes. You will interview key stakeholders across Legal, Privacy, Compliance, business teams, and AI Governance to understand current practices, requirements, pain points, and future-state needs. The goal is to identify inconsistencies, duplication, gaps, unclear ownership, and opportunities for standardization across existing risk processes. You will design an enterprise risk ontology/taxonomy establishing clear definitions and relationships across risk domains and categories, risk types and attributes, controls and mitigations, legal and regulatory obligations and requirements, and processes, systems, owners, and supporting evidence. Finally, you will translate the taxonomy into an actionable operating model defining roles, responsibilities, decision rights, governance structures, escalation pathways, and ongoing maintenance processes.

Requirements

Experience in legal engineering, legal operations, enterprise risk management, GRC, compliance operations, or legal technology.
Strong understanding of risk taxonomies, ontologies, control frameworks, governance models, and structured data.
Experience mapping complex legal, privacy, compliance, AI, or regulatory requirements into operational workflows and technology systems.
Demonstrated ability to conduct current-state assessments and design scalable future-state processes and operating models.
Experience working across Legal, Engineering, Privacy, Compliance, Product, and business stakeholders.
Strong workshop facilitation, stakeholder interviewing, process mapping, and requirements-gathering skills.
Ability to translate legal and risk concepts into structured fields, classifications, workflows, controls, evidence requirements, and reporting structures.
Experience implementing or designing workflows within GRC, legal technology, compliance, risk management, or enterprise workflow platforms.
Strong project management skills, including roadmap development, stakeholder coordination, issue tracking, and executive-level communication.

Responsibilities

Lead the development of a practical risk operating model spanning Legal, Engineering, Privacy, Compliance, AI Governance, and business functions.
Assess how risk is currently identified, classified, assessed, owned, governed, monitored, and evidenced across the organization.
Inventory existing risk terminology, categories, classifications, tags, fields, and data structures across current tools and business processes.
Interview key stakeholders across Legal, Privacy, Compliance, business teams, and AI Governance to understand current practices, requirements, pain points, and future-state needs.
Identify inconsistencies, duplication, gaps, unclear ownership, and opportunities for standardization across existing risk processes.
Design an enterprise risk ontology/taxonomy establishing clear definitions and relationships across: Risk domains and categories, Risk types and attributes, Controls and mitigations, Legal and regulatory obligations and requirements, Processes, systems, owners, and supporting evidence.
Translate the taxonomy into an actionable operating model defining roles, responsibilities, decision rights, governance structures, escalation pathways, and ongoing maintenance processes.