Legal Engineer
@ Swans

Hybrid
$120,000
Hybrid
Full Time
Posted 16 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXX******* @swans.com
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Job Details

About the Legal Engineer Role

At Swans, the Legal Engineer role is designed for technical professionals who are passionate about technology and operational problem-solving. In this role, you will deploy CRM configurations, automation workflows, API integrations, and AI implementations to solve complex operational challenges for law firm owners.

Key Responsibilities

  • Deploy CRM and Case Management systems
  • Design and implement automation workflows with tools like Zapier, Make, and n8n
  • Build analytics dashboards and data pipelines
  • Integrate AI solutions including Gemini, ChatGPT, and Claude
  • Analyze law firm technology challenges and present actionable solutions

A Day in the Life

You will engage in hands-on system design and operational analysis. Expect 75% system building and 25% operational analysis, including client interactions and presentations of analytical insights.

What We Offer

  • Competitive salary with performance-based bonuses
  • Flexible remote work with quarterly in-person meetups
  • Extensive career development and coaching
  • An opportunity to directly impact law firm operations and drive innovative change

Key Skills/Competency

  • CRM Configuration
  • Automation Workflows
  • API Integration
  • AI Implementation
  • Data Analysis
  • Project Management
  • Operational Analysis
  • Technical Problem-Solving
  • Client Interaction
  • Systems Thinking
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How to Get Hired at Swans

🎯 Tips for Getting Hired

  • Customize Your Resume: Highlight CRM and automation experience.
  • Showcase Projects: Provide examples of technical problem-solving.
  • Research Swans: Understand their culture and mission.
  • Prepare for Interviews: Brush up on system design and operational analysis.

📝 Interview Preparation Advice

Technical Preparation

Review CRM configuration and integration practices.
Practice automation workflow implementations with low-code tools.
Study API integration techniques and data pipeline setups.
Familiarize with AI tool deployment and training methods.

Behavioral Questions

Describe handling complex client challenges.
Explain your system thinking process.
Discuss a time you solved operational issues.
Share examples of teamwork in stressful projects.

Frequently Asked Questions