Senior Software Engineer Jobs

About The Position

Requirements

• J.D. required.
• Minimum of two years of law practice experience at a law firm, in-house legal department, or public sector office. Active bar admission not required, but candidates must have practiced law.
• Demonstrated experience designing and deploying legal workflows on one or more AI-native legal platforms (e.g., Harvey, Jylo, CaseBlink, Litera One, ContractMatrix, Legora, or comparable tools). End-user familiarity is not sufficient — candidates should be able to describe specific workflows they architected, the legal process problems those workflows addressed, and how they were adopted by attorneys in practice.
• Hands-on software development experience beyond low-code and no-code tooling. Candidates must be able to point to applications they have built or meaningfully contributed to in a professional or project context. Proficiency with development tools and AI frameworks is expected — including one or more of the following: LangChain, LangFlow, GitHub, Cursor, Claude Code, or OpenAI Codex. This is not a requirement for a senior software engineer; it is a requirement that the candidate has written real code, understands how software gets built, and can work credibly alongside an AI engineer on custom application development.
• Strong understanding of legal workflows across at least one practice area (transactional, litigation, immigration, or similar), with the ability to translate those workflows into structured, AI-ready process designs.
• Excellent communication skills — able to explain technical concepts to non-technical attorneys and translate attorney feedback into actionable technical direction.
• Highly organized, self-directed, and capable of managing multiple workstreams simultaneously.
• Demonstrated ability to design and deliver training or change management programs.

Nice To Haves

• Familiarity with Microsoft Azure AI Foundry, Copilot, or similar enterprise AI infrastructure preferred.
• Experience with AI prompt engineering and structured workflow documentation preferred.
• Prior experience building or managing an AI, legal tech, or legal operations function preferred.

Responsibilities

• Design and build AI-enabled legal workflows across practice areas, including litigation, transactional, business immigration, and corporate
• Translate attorney needs into structured, repeatable workflow architectures that leverage AI platforms effectively
• Document and maintain workflow templates, playbooks, and standard operating procedures
• Identify and scope high-ROI workflow automation opportunities across the firm
• Serve as the primary day-to-day manager of vendor pilots
• Coordinate between pilot participants, vendor support teams, and firm leadership
• Collect structured feedback, develop evaluation scorecards, and synthesize results for the Fractional Head of AI and executive committee
• Manage pilot timelines, participation, and vendor communications
• Co-lead firm-wide AI training and adoption program.
• Develop and deliver training sessions tailored to different practice areas and staff functions
• Host recurring office hours for attorneys seeking one-on-one platform support
• Identify and cultivate super users and practice group AI leads across the firm
• Support the intern desk-to-desk support program as a supervisor and resource
• Develop deep proficiency in each AI platform deployed by the firm — going beyond standard user training to the level of real-time troubleshooting and workflow coaching
• Stay current on platform updates, new features, and competitive alternatives
• Maintain working relationships with vendor contacts and serve as a liaison between the firm and vendor support teams
• Support vendor evaluation processes under the direction of the Fractional Head of AI
• Establish error handling protocols and quality review processes for AI-generated outputs in legal workflows
• Maintain a structured feedback loop between attorneys, the AI function, and firm leadership
• Track and document AI use cases across practice groups — what is working, what is not, and what the data suggests about next steps

Benefits

• medical
• dental
• vision insurance
• 401K
• disability
• life insurance
• Paid Time Off (PTO)