Legal AI Implementation Intern at Garza Law Firm, PLLC

Knoxville, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, AI Systems, Python, R, SQL, Workflow Automation, Systems Integration, Dashboard Development, Critical Thinking, Data Quality, Process Optimization, Written Communication, Verbal Communication, AI Ethics, Bias Mitigation, Data Visualization

Industry

Law Practice

Description

Description The Legal AI Implementation Intern is a newly created role at the Garza Law Firm designed to support the firm’s strategic investment in Cassidy, a modern AI automation platform. Cassidy provides a flexible foundation for building AI-powered workflows that streamline legal operations, automate repetitive tasks, and enhance attorney and client experiences. This position is ideal for current college students or recent graduates seeking hands-on experience applying coursework in information systems, data science, machine learning, and AI ethics to a real-world professional services environment. You will collaborate directly with attorneys, administrators, and technical stakeholders to design, implement, and scale AI solutions that improve efficiency and client outcomes across the firm. Our firm is committed to delivering legal services faster, smarter, and more seamlessly through responsible AI adoption. By implementing Cassidy, we are creating a living AI system that evolves alongside our practice. This role offers the opportunity to help architect that system from the ground up while seeing your academic training translated into measurable operational impact. Requirements Essential Duties and Responsibilities Collaborate with attorneys and administrative leaders to map real-world legal and operational workflows into AI-driven automations within the Cassidy platform. Apply concepts from Information Systems, Data Mining, and Intelligent Systems to design scalable, maintainable AI workflows and dashboards. Prototype, test, and refine AI solutions using principles learned in Machine Learning, Data Analytics, and Systems Design coursework. Analyze, clean, and validate structured and unstructured data to ensure AI outputs are accurate, explainable, and actionable. Assist in designing data visualizations and performance dashboards aligned with Data Visualization and Business Intelligence concepts. Research and recommend best practices related to AI ethics, bias mitigation, and responsible AI use, particularly within a legal services context. Develop documentation, workflow diagrams, and user guides to support long-term adoption and knowledge transfer. Train attorneys and administrative staff on AI tools and workflows, translating technical functionality into practical daily use. Monitor workflow performance, troubleshoot issues, and recommend iterative improvements based on data and user feedback. Skills & Experience Strong foundation in data analytics, machine learning concepts, or AI systems. Familiarity with Python, R, SQL, or comparable data tools preferred. Experience with or interest in workflow automation, systems integration, or dashboard development. Ability to think critically about system design, data quality, and process optimization. Strong written and verbal communication skills, particularly when explaining technical concepts to non-technical users. Curiosity, professionalism, and a strong interest in applying AI responsibly in real-world environments. Additional Information This position is an internship or entry-level role, with part-time or full-time availability depending on academic schedules and firm needs. This position does not have the authority to practice law, provide legal advice, or set legal strategy.

Responsibilities

The intern will collaborate with attorneys and administrative leaders to design and implement AI-driven automations within the Cassidy platform. They will also analyze data, develop documentation, and train staff on AI tools and workflows.