AI-Driven Legal Engineer: Design Smart Legal Workflows

Ashurst Perkins Coie Group; Austin (TX); On-site; USD 138,000 - 249,000; Full time

Benefits offered by this job

Annual bonus

401(k)

Health, Dental, Vision

Paid time off 20 days

Parental leave

Paid holidays

Family care benefits

Job summary

Ashurst Perkins Coie US LLP is seeking a collaborative Legal Engineer to design and optimize AI-enabled legal workflows and agent solutions that improve efficiency, quality, and client value.

You will work with governance, privacy, security, and testing standards while collaborating with attorneys, business teams, and technology professionals to drive adoption and advance AI-enabled innovation across the firm.

Qualifications

• Proven experience designing, building, and optimizing AI-enabled workflows and automation solutions, translating legal and business needs into structured processes.
• Expertise with generative AI technologies, including LLMs, agents, APIs, and prompt engineering, plus responsible AI, data privacy, risk management.
• Five or more years in a law firm, corporate legal dept, legal tech env, or related role with strong communication and client service skills.

Responsibilities

• Design, develop, and optimize AI-enabled legal workflows and agent solutions that improve efficiency, quality, and client value.
• Ensure responsible deployment of AI with governance, privacy, security, testing, and documentation.
• Collaborate with attorneys, business pros, and tech teams to identify use cases, drive adoption, and advance firm-wide innovation.

Skills

AI workflows

Generative AI

Strong communication

Team collaboration

Education

Bachelor's degree

Job description

Ashurst Perkins Coie US LLP is seeking a collaborative Legal Engineer to design and optimize AI-enabled legal workflows and agent solutions that improve efficiency, quality, and client value.

You will work with governance, privacy, security, and testing standards while collaborating with attorneys, business teams, and technology professionals to drive adoption and advance AI-enabled innovation across the firm.