AI-Driven Legal Innovation Intern

Teradata

Austin (TX)

On-site

USD 25,000 - 36,000

Part time

4 days ago
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Job summary

Teradata's Internship Program offers a 10-12 week summer experience in a fast-paced, collaborative environment. You will partner with Legal and People teams to document workflows, prototype AI-enabled solutions, and support pilots from data inputs to adoption.

The role emphasizes responsible AI, privacy, and measurable outcomes across enterprise operations. Through hands-on projects, you will learn how AI and automation can improve enterprise processes in Legal and People operations, from

Qualifications

  • Academic or project experience in artificial intelligence, data/analytics, information systems, CS, business process improvement, or related fields.
  • Experience with generative AI tools, prompt design, workflow automation, data visualization, or user research.

Responsibilities

  • Partner with Legal and People team stakeholders to document workflows, pain points, controls, data inputs, handoffs, and outcomes.
  • Research and prototype AI-enabled and automation solutions for approved use cases.
  • Build reusable process maps, requirements, test scenarios, prompts, and adoption materials for scalable implementation.
  • Evaluate solution outputs for accuracy, privacy, security, accessibility, and responsible AI considerations; document risks.

Skills

AI research
Prompt design
Workflow automation
Data analytics

Education

Pursuing Bachelor's or Master's in CS/IS/Info Sys

Tools

Low-code/no-code platforms
Data visualization tools

Job description

Teradata's Internship Program offers a 10-12 week summer experience in a fast-paced, collaborative environment. You will partner with Legal and People teams to document workflows, prototype AI-enabled solutions, and support pilots from data inputs to adoption.

The role emphasizes responsible AI, privacy, and measurable outcomes across enterprise operations. Through hands-on projects, you will learn how AI and automation can improve enterprise processes in Legal and People operations, from

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