Practice Innovation Attorney

Practice Innovation Attorney

Lowenstein Sandler is seeking a Practice Innovation Attorney whose primary focus is equipping attorneys with the skills, tools, and workflows to excel in an AI-enabled legal environment. This is a hands-on, attorney-facing role centered on building and delivering training programs, designing AI-augmented workflows, and embedding generative AI tools into the day-to-day practice of law.

The Practice Innovation Attorney serves as the firm's primary internal resource for attorney AI literacy and adoption—a credible peer who can translate cutting-edge technology into practical, practice-specific guidance. This role is a cornerstone of the firm's Vision 2030 AI and data transformation initiative.

Essential

Job Requirements:

• Design, build, and deliver comprehensive AI training programs tailored to specific practice groups—including corporate, transactional, bankruptcy, and litigation—covering tools, prompting strategies, and AI-assisted workflows.
• Develop and maintain an evolving curriculum of hands-on workshops, one-on-one coaching sessions, and self-guided learning materials (video tutorials, quick-reference guides, prompt libraries) that meet attorneys at every level of AI fluency.
• Serve as the firm's go-to resource for attorneys learning to work with generative AI tools including Harvey AI, Microsoft Copilot, and Claude—translating capabilities into practical, practice-specific applications.
• Create onboarding AI training tracks for associates, lateral hires, and summer associates; ensure training materials stay current as tools and firm policies evolve.
• Develop CLE-eligible training content and coordinate accreditation for qualifying programs.
• Track adoption metrics, identify barriers, and continuously iterate on training content and delivery based on attorney feedback and usage data.

Workflow Design & AI Integration:

• Partner with practice group leaders and attorneys to map existing workflows and identify high-impact opportunities to embed AI tools, document automation, and data analytics.
• Design, test, and refine AI prompts and multi-step workflows tailored to specific legal tasks—contract review, due diligence, legal research, drafting, and matter intake.
• Lead proof-of-concept pilots from scoping through rollout, translating attorney needs into scalable, sustainable workflow changes.
• Build and maintain a firm-wide prompt library and workflow playbook, codifying best practices for AI-assisted legal work across practice areas.
• Define success metrics, adoption benchmarks, and feedback loops to evaluate AI implementations and drive continuous improvement.
• Collaborate with IT and Knowledge Management to integrate AI tools with existing firm systems (iManage, Aderant, Harvey, and others), reducing friction and supporting seamless adoption.

Knowledge Resources & Practice Tools:

• Develop and curate practice-specific knowledge assets—clause banks, template libraries, matter playbooks, and decision trees—that standardize work product and surface institutional knowledge.
• Collaborate with Knowledge Management and data teams to activate the firm's data lake and structured matter data in support of AI-assisted research and drafting.
• Identify and champion opportunities to use AI to surface relevant precedent, automate routine tasks, and elevate the quality and consistency of attorney work product.

AI Governance & Quality Assurance:

• Support the development and communication of AI usage guidelines, acceptable use policies, and quality assurance processes aligned with ABA professional responsibility standards.
• Serve as a resource for attorneys navigating questions about AI accuracy, supervision obligations (ABA Rules 5.1/5.3), and candor to courts in AI-assisted work.
• Monitor developments in legal AI, ethics guidance, and regulatory frameworks—providing timely, well-grounded guidance to firm leadership and practice groups.

Vendor & Technology Engagement:

• Maintain relationships with AI and legal technology vendors—including Harvey, Microsoft, and others—to maximize tool value, inform roadmap feedback, and stay ahead of product developments.
• Evaluate emerging legal AI tools, participate in vendor pilots, and…