Law Student Assistant – Apply your legal theory in a real-world business context
Denmark, Polska
Description
Would you like to gain broad exposure to both operational and strategic legal work in of the world’s largest suppliers of machinery, process technology, and components for food processing and a wide range of other industries? This is your chance to build experience in an international company while still in school, working closely with experienced lawyers. At the same time, you will also have the exciting opportunity of contributing to process optimization and AI implementation initiatives.
About GEA
GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 60 countries contribute significantly to GEA’s success – come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company.
Why join GEA
GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities are welcome and will be given special consideration if they are equally qualified.
Your profile and qualifications
Have completed at least your 1st year of law school (BA.jur or Cand.jur).
Have a solid understanding of basic contracts, construction law, and IP principles — or you are motivated to learn quickly in a real-world context.
Are fluent in English.
Your responsibilities and tasks
Support legal work related to collaborations with third parties.
Assist with sales-related legal matters.
Support legal trainings and project execution activities.
Assist with disputes and negotiations, including more strategic and risk-related matters.
Contribute to the team’s transition towards AI implementation.
Help optimize processes and challenge existing ways of working.