---
title: 'AI Engineer Intern at Eudia'
canonical: 'https://feeny.ai/job/ai-engineer-intern-eudia-palo-alto-0s3xyk2ex0xh'
type: 'job'
last_seen: '2026-09-09'
---

# AI Engineer Intern at Eudia

- **Company:** Eudia
- **Location:** Palo Alto, CA
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/eudia/jobs/4020078009

## Job description

About Eudia:

Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.

At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.

We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.

About the Role:

We are seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join our growing team in Palo Alto. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.

As an intern, you will work alongside experienced engineers and professionals to solve real-world problems, create impactful AI solutions, and learn from the best in the field.

Key Responsibilities:

- Assist in designing and implementing AI/ML solutions to address customer-specific challenges.
- Collaborate with senior engineers to build, test, and deploy machine learning models in production environments.
- Support the development of cloud-agnostic and secure enterprise-grade software solutions.
- Participate in troubleshooting and optimizing AI/ML models, addressing issues such as model drift and performance bottlenecks.
- Conduct research and analysis to improve model efficiency and accuracy.
- Help develop and maintain documentation for AI workflows and deployment processes.
- Provide input on product development and contribute to enhancing the AI/ML product roadmap.

Qualifications:

- Currently pursuing a Bachelor's or Master's in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
- Experience with traditional machine learning, deep learning, LLMs, Retrieval-Augmented Generation (RAG), or other NLP techniques.
- Familiarity with MLOps practices and tools such as MLflow for monitoring and deploying machine learning solutions.
- Exposure to real-world projects involving data analysis, predictive modeling, or automation.
- Interest in the legal technology domain or experience working with enterprise-grade systems.

Why You’ll Love Working Here:

- Impactful Work: Be part of a team that’s at the forefront of AI innovation.
- Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.
- Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.

If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!

## About Eudia

## Company Overview
- **One-liner**: Eudia builds an "Enterprise Brain" that creates AI-powered Digital Twins of expert legal knowledge to make enterprises self-sufficient in legal decision-making.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2023
- **Founders**: Omar Haroun (CEO & Co-Founder)

## Core Business
- Primary industry/industries: Legal Technology (LegalTech), Enterprise AI
- Target customers: In-house legal teams at enterprises, from high-growth scaleups to established global organizations (B2B, Enterprise)
- Mission or purpose statement: To build the enterprise brain that codifies proprietary data and institutional knowledge into governed, enterprise-grade legal agents, replacing complexity with clarity.

## Products & Services
- **The Enterprise Brain**: A proprietary AI platform that goes beyond generic models to align with an organization's specific standards, context, and judgment. It connects systems, documents, and workflows to ground decisions in real-time, organization-specific context.
- **Digital Twins**: AI replicas that encode how an organization's best experts think, including risk tolerance, negotiation standards, and institutional precedent. These are embedded into systems like Microsoft 365, ServiceNow, and iManage.
- **MINDs**: Specialized decision engines within the Enterprise Brain that handle real business problems such as contracts, compliance, procurement, and policy, delivering expert-grade decisions at scale.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of **$105.0M** (Series A, March 2025)
- **Notable Investors/Partners**: Lead investor **General Catalyst**; other notable backers include Hemant Taneja, Andrew Sieja, Gokul Rajaram, Marc Bhargava, Tim Guleri, and Mike Maples. Strategic partners include **Microsoft**, **OpenAI**, **ServiceNow**, and **Consilio**.
- **Growth Signals**: Headcount grew **+165.3% year-over-year** to 156 employees. Has acquired Johnson Hana International and Out-House. Operates in 8 countries including Ireland, India, and the UK. Active job postings increased **+27.3% month-over-month**.

## Competitive Advantages
- **Proprietary "Expert Digital Twins"**: Unlike generic AI assistants, Eudia creates a governed, auditable "digital twin" of an organization's top legal experts, capturing institutional knowledge that would otherwise walk out the door.
- **Enterprise-Grade Governance**: Built with advanced AI that ensures all intelligence is secure, governed, and auditable, meeting strict enterprise requirements for access control, compliance, and protection.
- **Deep Integrations**: Natively integrates with the enterprise tech stack (Microsoft 365, ServiceNow, iManage), embedding intelligence directly into existing workflows.
- **Strategic Partnerships**: Exclusive collaborations with OpenAI for government customers and Microsoft for scaling Digital Twins provide a significant moat.

## Strategic Focus
- **Scaling AI-Native Legal**: Moving beyond making lawyers more efficient to making the entire enterprise self-sufficient on legal matters, reducing reliance on external counsel.
- **Government Sector**: A dedicated "Eudia for Government" division, backed by a strategic partnership with OpenAI, targets public sector clients.
- **Global Expansion**: Growing office footprint in the US (Palo Alto, NYC, Phoenix, Irvine), Europe (Dublin, London), and Asia (Bengaluru).
- **Product Expansion**: Continuously launching new MINDs for specific legal use cases (contracts, compliance, procurement, policy).

## Why Work Here
- **Mission-Driven**: The opportunity to shape the future of AI-native legal and build technology that brings clarity and confidence to legal teams globally.
- **Culture**: Described as a culture grounded in trust, clarity, and accountability, empowering teams to do their best work and create lasting impact [eudia.com/about](https://www.eudia.com/about).
- **Work Policy**: Mixed. Some roles are listed as remote, while others (e.g., Forward Deployed Engineer, Technical Product Manager) are listed as in-office in Palo Alto or Bengaluru [builtin.com](https://builtin.com/company/eudia).
- **Growth Trajectory**: Rapidly scaling company with massive headcount growth, recent acquisitions, and significant funding, offering strong career acceleration for early employees.
- **Top Talent Pool**: Employees come from top firms like Bain & Company, Amazon, Meta, and PwC, indicating a high-caliber, intellectually rigorous environment [linkedin.com](https://www.linkedin.com/company/eudiahq).

## Sources
1. [eudia.com](https://www.eudia.com/)
2. [eudia.com/about](https://www.eudia.com/about)
3. [eudia.com/careers](https://www.eudia.com/careers)
4. [linkedin.com/company/eudiahq](https://www.linkedin.com/company/eudiahq)
5. [builtin.com/company/eudia](https://builtin.com/company/eudia)

## Other roles at Eudia

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