Practice Innovation Attorney
Lowenstein Sandler LLP · Roseland, NJ · 1 wk ago
On-siteInformation Technology$200k–$250k/yrFull-time
What You Will Do
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
- AI Training & Attorney Enablement:
- 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 make recommendations on strategic adoption opportunities.
Skills, Knowledge and Abilities
- Required:
- J.D. from an accredited law school and active bar admission (any U.S. jurisdiction).
- 3–5+ years of substantive legal practice experience, with exposure to transactional and/or litigation matters.
- Demonstrated experience designing and delivering training programs, whether for AI tools, legal technology, or complex legal concepts—in a law firm or legal operations context.
- Hands-on experience with generative AI tools (Harvey, Copilot, ChatGPT, Claude, or similar), including practical application to legal tasks.
- Strong project management skills with the ability to advance multiple workstreams simultaneously and drive initiatives from concept through adoption.
- Exceptional communication and teaching skills—able to translate complex AI concepts into clear, accessible guidance for attorney audiences at all experience levels.
- Deep understanding of legal workflows and the practical realities of law firm practice.
- Preferred:
- AI Expertise: Prompt engineering experience. Including designing, testing, and refining prompts and multi-step AI workflows for specific legal use cases.
- Instructional Design: Background in legal knowledge management, curriculum design, or adult learning methodology.
- Legal Tech Fluency: Familiarity with legal technology platforms including iManage, Aderant, contract review/automation tools, and data analytics platforms.
- Collaborative Style: Ability to build trusted, collegial relationships across practice groups and business services—influencing through credibility and responsiveness, not mandate.
- Growth Mindset: Genuine curiosity about the future of legal practice, with a habit of staying current on emerging AI and legal technology developments.