Data Assistant for a large multi-jurisdictional litigation matter

at  De Brauw Blackstone Westbroek

Would you like to gain hands-on experience in a complex and multi-jurisdictional litigation matter in a renowned law firm? If you are a law student and available for approximately 15 hours a week alongside your studies, this position is what you are looking for!

ABOUT YOU:

• We are looking for a student (any stage of their studies) who is flexible, stress resistant and able to work both independently and as a member of a team.
• A background in law.
• Fluent in Dutch and English.
• You need to be available two days a week; your workdays will be scheduled in agreement with you.
• Good Microsoft Word, Excel and PowerPoint knowledge are a must.

ABOUT US

De Brauw Blackstone Westbroek is an international law firm that is deeply rooted in the Netherlands. De Brauw advises more than 70% of the largest multinationals with headquarters in the Netherlands. De Brauw specialises in high-quality legal advice in complex transactions, proceedings and regulatory issues for companies and financial institutions. Over the years, De Brauw has built up a large and close-knit international network of renowned law firms. About 650 individuals are on staff at De Brauw in Amsterdam, Brussels, London, Shanghai and Singapore.

You will be supporting our Legal Project Management team on a multitude of project management tasks. You will be responsible for monitoring and reporting on (legal) developments in multiple jurisdictions, setting up information processes, managing certain billing processes and other data management tasks. In this role, you will work on diverse topics relating to the general management of a large matter, both with respect to legal and factual developments, strategy and financial management.
Working as a Data Assistant in a large legal projects offers a great opportunity for anybody with an eye for detail, who wants to learn more about the daily business in an internationally oriented law firm. You will be working in a team with other Data Assistants and Data Science Assistants.