Intern Legal Operations and Technology

Position Summary:

This is a unique opportunity to join Celonis' Legal team at the intersection of legal operations and legal technology. The Working Student / Intern will contribute to day-to-day contract administration and legal operations work while playing an active role in the team's efforts to build, refine and automate its evolving legal technology stack. Working closely with experienced legal operations and commercial legal professionals, the successful candidate will bring a genuine curiosity about artificial intelligence and its application to legal workflows — and the analytical ability to translate messy, real-world legal processes into structured, automatable systems.

This role suits a student enrolled in law, legal technology, information systems or a related discipline who is equally comfortable navigating a contract management system and experimenting with large language models. You do not need to be a developer — but you should be comfortable with structured thinking, prompt engineering and the kind of problem-solving that turns a complex legal workflow into a repeatable, AI-assisted process.

Primary Responsibilities:

Contract Administration & Legal Operations

•   Support the end-to-end contract lifecycle: intake, routing, tracking, execution and filing of commercial agreements.
•   Contribute to the organization and ongoing management of Legal team knowledge bases, templates and playbooks.
•   Prepare reports, presentations and correspondence for the Legal & Compliance team as required.
•   Handle confidential and sensitive information with professionalism and unquestionable integrity.

Legal Technology & AI Enablement

•   Support the implementation, configuration and day-to-day operation of the team's legal technology tools, including redlining, repository, e-signature and intake platforms.
•   Use AI tools (including Claude, Gemini and similar LLMs) to automate repetitive legal tasks such as contract data extraction, clause comparison, template population and workflow routing.
•   Map and document existing legal workflows, identifying opportunities to introduce structure, reduce manual effort and enable AI-driven automation.
•   Assist with prompt engineering, testing and iteration for AI-assisted legal processes — building simple but reliable automation flows rather than one-off experiments.
•   Contribute to internal 'legal engineering' projects: designing and building lightweight AI workflows that help the legal team work faster and more consistently.
•   Create clear documentation for new tools, AI workflows and processes so that non-technical colleagues can adopt and maintain them confidently.
•   Stay current on emerging legal technology trends and bring relevant ideas to the team.

Knowledge and Skill Requirements:

•   Strong analytical and structured-thinking skills — able to break down complex, unstructured legal processes into logical, systematizable components.
•   Genuine interest in AI, legal technology and 'legal engineering'; keeps up with developments in LLMs and their practical application to legal work.
•   Hands-on experience with AI tools such as Claude, Gemini, ChatGPT or similar, including basic prompt design and iterative testing.
•   Ability to document and diagram workflows clearly, translating operational complexity into structured formats (e.g., process maps, logic flows, checklists).
•   Detail-oriented and well-organized; comfortable managing multiple tasks and deadlines in a fast-paced environment.
•   Excellent written and verbal communication skills in English; able to communicate technical concepts to non-technical stakeholders.
•   Proficient in Google Workspace and/or Microsoft Office Suite.
•   Comfortable with ambiguity and new problems; proactive and self-motivated.
•   High level of discretion, professionalism and ethical standards when handling sensitive legal and commercial information.
•   Experience with or curiosity about CLM systems (e.g., Ironclad, Conga, DocuSign CLM, Juro), e-signature tools or legal intake platforms is a plus.
•   Basic familiarity with structured data (spreadsheets, JSON, CSV) and how information can be extracted from unstructured documents is a plus.

Education / Experience:

•   Currently enrolled in a Bachelor's or Master's degree programme in Law, Legal Technology, Information Systems, Business Law or a related field.
•   Prior exposure to contract administration, legal operations or legal technology — through coursework, internships, student clinic work or self-directed projects — is preferred.
•   Demonstrable interest in AI/LLM applications in a legal or professional services context (academic projects, personal projects, online courses or equivalent).
•   Experience with or knowledge of contract management or legal operations processes is an advantage.
•   Business fluency in English is required; German language skills are a strong plus for the EMEA context.