Role details
The Legal Engineering Attorney is an integral part of Latham’s Technology & Information Services team. The role will design AI-native systems that translate legal expertise into reliable, repeatable, machine-executable outputs, including prompts, schemas, evaluation suites, playbooks, and end-to-end workflows. It includes decomposing complex transactional and litigation workflows into discrete, measurable tasks with defined inputs, outputs, decision points, and quality criteria suitable for AI execution. Responsibilities include re-engineering existing manual workflows for AI-first execution; translating practice group playbooks, checklists, negotiation positions, and house style into structured artifacts (prompts, schemas, decision trees, rule sets); codifying tacit knowledge of senior practitioners into machine-readable form (fallback positions, market terms, negotiation flexibility, drafting conventions); authoring schema specifications and JSON Schemas for deal types, clause libraries, document attributes, and matter metadata; curating exemplar matters and work product into reference packs for few-shot prompting, fine-tuning, and evaluation; and protecting highly sensitive, confidential, privileged, financial, and/or proprietary information. Qualifications include fluency authoring, evaluating, and iterating on prompts for large language models in production legal workflows; proficiency reading and writing structured data formats (JSON, JSON Schema, YAML, Markdown) and understanding schemas and conditional logic; experience designing evaluation rubrics and conducting structured quality measurement of AI outputs (golden datasets, head-to-head comparisons, error taxonomies); and having a J.D. from an accredited law school. Additional requirements/preferences include a bachelor’s degree in a relevant field and at least three years of substantive legal practice experience, plus at least two years of full-time experience in 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.