LegalTech Investment: StructureFlow Raises £4.7 Million in Series A Funding
LegalTech company StructureFlow has secured £4.7 million in Series A funding to revolutionize the way corporate diagrams are created. The B2B SaaS platform aims to use artificial intelligence to streamline product development and expand its global reach.
Creating visual representations of corporate structures and transactions is crucial for legal and finance professionals navigating complex relationships. Structure charts have long been essential tools for professionals to analyze intricate details and make informed decisions for their clients.
Traditionally, the process of creating these charts has been time-consuming and cumbersome. StructureFlow, founded by Tim Follett, aims to digitize and simplify this workflow, allowing users to generate data-driven visual models in seconds. By automatically visualizing complex information like contracts and datasets, the platform enables professionals to manipulate and analyze data efficiently for various projects.
With over 50 major legal and professional services firms already using StructureFlow, the platform has gained traction in the industry. The recent Series A funding round was led by FINTOP Capital, with additional investment from Venrex. CEO Tim Follett expressed his vision to transform how professionals communicate complex information, making the process faster and more efficient.
Chris Haley, partner at FINTOP Capital, highlighted the need for change in the legal and professional services industry and praised StructureFlow’s potential to deliver on that promise. With a strong team and expertise in legal tech, StructureFlow is well-positioned to drive innovation in the sector.
The investment in StructureFlow signifies a growing interest in LegalTech solutions that streamline processes and enhance productivity for professionals in the legal and finance sectors. As the industry continues to evolve, companies like StructureFlow are at the forefront of driving change and efficiency in the way complex data is visualized and analyzed.
