New Roles · Business-function AI Builders

Legal AI Builder. The role, the market signal, and how to build it in your org.

Builds or configures AI assistance for contract review, compliance monitoring and regulatory writing. Works with legal owners to define source checks, escalation and qualified review.

In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.

Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.

38 postings · 35 distinct titles · from 264,613 real job postings · see the source snapshot →

What the market calls it
Legal AI AnalystAI CounselGenAI Regulatory Writing
Employers in this source snapshot
Thomsonreuters 9PwC 4Mastercard 3OpenAI 3Citi 2

What the postings ask this role to do

539 tasks extracted from real Legal AI Builder job descriptions, classified Automate / Augment / Human-only. In this source classification, 2.4% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.

Automate
  • Create documentation.
  • Create knowledge base articles.
  • Maintain records of processing.
  • Monitor enforcement actions on ai laws.
  • Monitor regulatory guidance on ai laws.
Augment
  • Develop strategies to reduce churn.
  • Assist in classification of ai systems.
  • Develop joint roadmaps for customer success.
  • Validate generative and agentic ai product functionality for westlaw.
  • Develop internal ai governance controls, documentation, and processes.
Human-only
  • Lead executive business reviews with customers.
  • Represent the customer perspective throughout ai development.
  • Partner with customers to gain executive sponsorship, identify champions, and define change management strategies.
  • Engage regularly with senior executives to understand their goals and provide strategic guidance throughout the customer journey.
  • Partner with legal, product, and compliance stakeholders on ai principles such as transparency, accountability, and human-oversight.
How we build it in your org

From the market's version of this role to your version of it

1. Define workflow responsibilities
Start with the actual work this role must improve and the output your enterprise needs. Define how people and agents share the decisions, exceptions and handoffs. Task Intelligence examines the tasks within that work.
2. Define your version
Your team defines the role around its own systems, data, rules and responsibilities. Agree what the person configures, builds, reviews or supervises and what technical support is needed.
3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Shape a practical project around your enterprise context, then use relevant Simulations, GenAI Sandboxes and Skill Validation Assessments to review the work and capability demonstrated.

Start with the work, not the org chart.

Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.