Designing AI-native systems that translate elite legal expertise into reliable, repeatable, machine-executable outputs
Re‑engineering existing manual workflows for AI‑first execution, determining the appropriate allocation of work and handling of exceptions
Translating practice group playbooks, checklists, and negotiation positions into structured artifacts
Codifying tacit knowledge of senior practitioners in machine-readable form
Authoring schema specifications and JSON Schemas for deal types, clause libraries, document attributes, and matter metadata
Curating exemplar matters and precedents into reference packs

A J.D. from an accredited law school
A bachelor’s degree, in law, computer science, information systems, or a related field, preferably
A minimum of three (3) years of substantive legal practice experience at a law firm or in‑house legal department, with ownership of complex transactional or advisory matters
A minimum of two (2) years of full‑time experience as a Legal Engineer, Legal Knowledge Engineer, Legal Workflow Engineer, Innovation Attorney, or comparable role focused on operationalizing legal expertise into AI-driven systems and workflows
Experience at a legal AI company, law firm innovation team, alternative legal services provider, or software company building tools for lawyers, preferably
Hands‑on experience with AI platforms designing or evaluating law‑related workflows or agents, preferably

Healthcare, life and disability insurance
A generous 401k plan
At least 11 paid holidays per year, and a PTO program that accrues 23 days during the first year of employment and grows with tenure
Well-being programs (e.g. mental health services, mindfulness and resiliency, medical resources, well-being events, and more)
Professional development programs
Employee discounts
Affinity groups, networks, and coalitions for lawyers and staff

Legal Engineering Attorney

Key skills