Jobs at Davis Wright Tremaine

• Develop and maintain the strategic roadmap for the firm's digital collaboration, productivity, automation, and AI platforms.
• Partner with business leaders, legal practice groups, and IT leadership to identify opportunities for innovation, process improvement, and operational efficiency.

• Oversee multiple development teams, ensuring ROI-aligned delivery.
• Define KPIs, budgets, and SLAs for application portfolio.

• Partner with attorneys and clients to evaluate data needs, develop analysis strategies, and deliver clear and actionable insights.
• Obtain, structure, and manage raw datasets from various sources, including payroll, timekeeping, and HRIS.

• Provide practice support project management to legal teams, including:
• Consultation with case teams and clients regarding e-discovery, including early case assessment, forensic collections, processing, culling and filtering, document reviews, productions, and database administration

• The Client Experience (CX) Team augments the traditional legal services provided to clients through proactive communication, actionable reporting, and operational support. The Assistant Legal Project Manager will:

Support attorneys and staff on high-volume matters to ensure deadlines and client service expectations are met.
Assist with the implementation of processes, technologies, and tools that improve efficiency and service delivery.
Contribute to the development and upkeep of knowledge management resources, templates, and reference guides.
Collect and organize data to support reporting on matter activity, staffing, and other client needs.
Learn and use legal project management tools and other technology platforms to create efficiencies.
Provide onboarding assistance for new personnel joining client projects.

• User Access Control: Define and manage user access to resources, ensuring compliance with internal security policies and regulatory requirements.
• Server Management: Manage and maintain both physical and virtual servers, ensuring high availability, performance, and security.

• Architect, build, and deploy LLM-powered applications (Azure OpenAI, AWS Bedrock, LangChain, etc.) that integrate with firm systems.
• Implement retrieval-augmented generation (RAG) pipelines, prompt-management frameworks, and secure APIs.

• Architect, build, and deploy LLM-powered applications (Azure OpenAI, AWS Bedrock, LangChain, etc.) that integrate with firm systems.
• Implement retrieval-augmented generation (RAG) pipelines, prompt-management frameworks, and secure APIs.