StructureFlow

StructureFlow is a data-driven visual workspace for professionals working with complex legal, financial and structural information. Lawyers, tax advisors and investment firms use it to build one connected model of the structures they work on, including entities, ownership, relationships, obligations and flows, and to produce visuals from that model. The workflow has three stages: map the whole structure into one model, model a change to see its effect before making it, and produce the resulting deliverables.

What users create:

Structure charts
Corporate, group, fund and ownership structures, including before-and-after views for transactions and reorganizations.

Step plans
Multi-step transactions, tax planning or reorganizations held in a single file. Whenever a change is made, it is automatically carried through every step.

Timelines
Chronologies of events, parties and money flows for litigation, investigations and deal milestones.

Process maps and flowcharts
Workflows, decision paths and operational processes.

All visuals can be exported as editable PowerPoint, Word or PDF files in firm or client templates.

Built on data:
Every visual in StructureFlow is a view of an underlying data model. The visual and the data are linked, so changing the data updates the visual, and changing the visual updates the data. Users can attach data to entities and search, filter and query across a whole structure. The same data can be presented in different views for different audiences, and look-through ownership, covering economic interest and voting control, is calculated consistently. Any version can be redlined against the current structure, and every change is logged. Data can be imported from Companies House and from document management systems through native iManage and NetDocuments integrations. It connects to other systems through API and MCP, and can be exported in multiple formats.

Powered by AI:
AI import turns existing data into editable visual models. StructureFlow’s AI assistant works with Word, PDF, Excel, PowerPoint, Visio, images and hand-drawn sketches. Whole document sets can be layered to build an interactive visual of complex business relationships. Import combines AI with deterministic parsing, and every data point is traced back to its source so output can be audited and verified.The AI assistant also supports user queries, updates and edits in natural language, for example tracing complex ownership chains, analyzing control or making bulk changes. It proposes changes for the user to approve, and no change is applied without user approval. AI features are configurable and can be turned on or off depending on the firm’s requirements.