StructureFlow update turns legal data into editable AI

StructureFlow has released an updated AI platform for modelling complex legal and financial structures, expanding the range of document and diagram formats firms can bring into the system.

The update is intended to help organisations work with information spread across documents, diagrams and internal systems. It covers structured and unstructured materials, including PDFs, images, Visio diagrams and spreadsheets, which are often used to record transactions and ownership arrangements.

Teams can convert those materials into editable diagrams and timelines within the platform instead of rebuilding them manually. They can then explore and adapt those models and use an updated AI assistant to examine scenarios and relationships between entities.

The product is aimed at legal, tax, accounting and finance professionals dealing with arrangements that involve multiple parties, layers and obligations. Such work often relies on static files and legacy diagrams that are difficult to update or compare when transactions change.

Broader Inputs

The latest release also expands the platform's use of AI models. StructureFlow is using different models for separate tasks, including image interpretation and natural language reasoning, to improve how complex structures are reconstructed from source material.

This includes image processing and diagram reconstruction, which should help users interpret structures embedded in PDFs and older diagramming tools with less manual input. The aim is to turn source material into diagrams and timelines that can be used for analysis rather than treated as static records.

One target market is professional services, particularly firms involved in alternative finance. In those areas, fund structures can involve multiple layers of ownership and control, making it harder for advisers and investors to maintain a clear view of relationships and dependencies.

According to StructureFlow, many organisations do not lack information; instead, it is fragmented across different formats. That creates practical difficulties when teams need to understand how entities connect, what obligations apply and how a change in one part of a structure affects another.

"For many organisations, the challenge isn't a lack of data, it's that critical information is fragmented across multiple formats, from static documents to disconnected diagrams," said Tim Follett, Chief Executive Officer of StructureFlow.

"By onboarding the latest AI models, we're making it easier to interpret and reconstruct that complexity into clear, editable models, so teams can explore scenarios, understand relationships and work with it in a more dynamic and effective way," Follett added.

AI Use

The update reflects a wider push across legal and financial technology to apply generative AI and machine vision to records that were not created for machine analysis. Contracts, ownership charts, fund diagrams and internal spreadsheets often contain useful information, but much of it sits in formats that are difficult to search or reuse without human effort.

By translating those records into structured visual models, software providers are trying to make analysis easier for deal teams, advisers and investors. The commercial case rests on reducing the time spent recreating charts and improving visibility over relationships within corporate structures, tax arrangements and investment vehicles.

StructureFlow said newer large language models also increase the volume of entity information and the complexity of relationships the platform can handle. Users will also be able to access improved models as they become available.

Follett said the quality of underlying information would shape the effectiveness of AI in professional work. "As AI continues to evolve, its value will increasingly depend on the quality of the information it can access. When complex structures are properly understood and modelled, organisations are in a much stronger position to apply AI effectively and realise meaningful outcomes from those investments."