Bring in the crowd
Upload contracts, minutes, certificates, reports and attachments. The original PDFs stay intact — on top of them, DocTree builds the reading layer that will hunt your Wallys.
Upload contracts, minutes, certificates and attachments — your "crowd" of PDFs. DocTree hunts down people, companies, properties and any entity you configure, shows on which page each one appears and connects the documents where they cross paths. You decide who "Wally" is; the AI does the searching.
DocTree is built for very practical questions: who appears in this contract, which documents mention the same company, on which pages did that property title show up? You configure the "Wallys" that matter to your work — the AI scans the crowd for you.
Upload contracts, minutes, certificates, reports and attachments. The original PDFs stay intact — on top of them, DocTree builds the reading layer that will hunt your Wallys.
People, companies, properties, cases or any custom entity. You configure the "Wally" types that matter — the AI learns what to look for inside the archive.
When a company, person or property title appears across multiple documents, DocTree groups those files and shows the trail — even when filenames were no help at all.
Instead of scanning folders, just ask: "in which documents does Gabriela appear together with Acme?". DocTree answers based on what it already found.
Granular control, audit trail, encryption and data isolation. The metaphor is playful, the security is not.
Start with 20 PDFs and scale when you need to. The logic stays the same: folders to organize, Wallys to navigate, connections to decide.
The idea is not to replace your organization with a mysterious screen. It is to take a document you already have and show, in three steps, how the hunt works.
Instead of storing only the PDF, DocTree shows the elements that can become investigation paths.
An entity becomes a living index: every related document appears together, even when files live in different folders.
Search stops being “where did I save it?” and becomes “what is the relationship?”.
In due diligence, the question is rarely “where is the PDF?”. It is “where's Wally?” — who is this person, this company, this property title, and in which documents do they appear together.
Folders remain useful for storage. DocTree adds a second layer for the hunt: configurable Wallys, connections across documents and natural-language questions about what was found.
Test with real documents, see if the AI finds who you're looking for and scale capacity when the hunt becomes part of the team routine.
For trying context-based search on a small archive.
For teams already using connected documents in daily work.
For teams that need to investigate larger archives without losing context.
For operations with specific volume, rules or support needs.
Create an account, upload your first PDFs and configure the Wallys that matter to your work. The AI takes care of the rest.