Applied Legal Researcher (Singapore)

Centari is the Deal Intelligence platform for law and finance. Our agentic model transforms unstructured documents into valuable insights, empowering professionals to forecast, analyze, and negotiate with the full force of their firm’s knowledge.

We call it data-driven dealmaking, and it's transforming the economy as we know it.

Today, Centari supports attorneys from global firms across M&A, debt finance, asset management, and real estate. We are backed by top investors in enterprise AI, including former DoorDash board member Jeremy Kranz, Seamless co-founder Andy Appelbaum, Jack Altman, South Park Commons, Recall Capital, and GTMfund.

For more information, check out centari.com or find us on LinkedIn.

We are hiring an experienced corporate lawyer based in Singapore to join our Applied Legal Research team as a contractor. In this role, you will apply your corporate law background to the frontlines of building generative AI applications for the world’s leading firms. You will work closely with Centari’s Product, Engineering, and Customer Success teams to advance our best-in-class data extraction platform for sophisticated legal work.

This role will be a good fit if you are eager to shape the future of generative AI for legal services through your exceptional problem-solving capabilities, knowledge of transactional law, and bias for action.

Requirements

• LL.B., J.D., or equivalent

• Singapore qualified lawyer (or other recognized common law jurisdiction) with minimum 3 years PQE.

• Significant legal experience at a reputable local or international law firm. Experience with debt finance, funds, and complex M&A transactions is a plus.

• Exceptional technical aptitude. While no coding experience is required, you must have a high level of comfort with learning cutting-edge systems.

• Proven interest in prompt engineering and leveraging LLMs for legal work.

• A generalist mindset and adaptability to quickly learn new areas of law.

• As an independent contractor, the ideal candidate is a proactive, solutions-oriented, and independent self-starter who is comfortable operating with limited supervision in a fast-paced environment.

• Some collaboration time with US East Coast or West Coast from Monday to Thursday.

What we offer

• Build at the frontier of AI for knowledge work, with a highly engaged user base from top firms.

• Hybrid remote/office culture.

• Flexible PTO.