AI Legal Analyst

Goodwin•Palo Alto, CA

2d•Hybrid

About The Position

The Automation Engineer is a member of Goodwin’s Global Operations Team and is responsible for independently identifying, designing, and implementing workflow automations and AI-assisted solutions that improve efficiency, quality, and consistency across legal and business operations. This role partners closely with attorneys, practice teams, and business professionals to translate complex and often ambiguous workflows into practical, scalable solutions. The Automation Engineer exercises discretion and independent judgment in evaluating opportunities, prioritizing work, and determining appropriate technical approaches, and reports to the Managing Director, GTM & Operations.

Requirements

Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
Demonstrated experience building workflow automations, technical prototypes, or AI-assisted solutions in a professional setting is preferred.
Knowledge of workflow automation concepts, system integration, and modern AI-enabled technologies.
Skill in translating non-technical, experience-based input into structured technical and operational solutions.
Strong analytical, problem-solving, and systems-thinking abilities.
Ability to exercise discretion and independent judgment with respect to matters of significance.
Strong written and verbal communication skills, including explaining technical concepts to non-technical audience
Ability to manage multiple priorities and operate effectively in a fast-paced, ambiguous environment.

Responsibilities

Proactively partner with attorneys, practice teams, and business professionals to understand end-to-end workflows and identify inefficiencies and opportunities for automation.
Independently design, prototype, and implement workflow automations and AI-assisted solutions that reduce manual effort and improve consistency, data quality, and user experience.
Translate loosely defined problems and qualitative business requirements into clearly scoped technical solutions, determining appropriate tools, approaches, and tradeoffs.
Evaluate multiple solution paths and exercise judgment in selecting approaches that balance speed, reliability, governance considerations, and long-term maintainability.
Leverage scripting languages, APIs, AI-enabled tools, and low-code/no-code platforms to deliver fit-for-purpose solutions.
Test, document, and iterate solutions based on structured feedback and observed usage patterns.
Develop reusable automation patterns, templates, and documentation to support scaling solutions across teams.
Collaborate with Technology, Knowledge, Security, and Risk partners to ensure solutions align with firm standards, data handling requirements, and governance expectations.