I turned a folder of contracts into a workspace you can question, extract and review.
How it was built, and why
LexMind is built around a chat interface, extraction grids and reusable review playbooks. Ask a question and it answers grounded in your documents with sources you can open; grids turn a folder of contracts into structured data; playbooks check new paper against a clause standard.
The flow
A reviewer asks a question grounded in the document set, opens the cited source, extracts the clause fields into a grid, then runs a playbook that flags deviations on a single contract's annotated clause list.
What it is
A contract intelligence tool: grounded chat with history and citations, extraction grids with prebuilt and custom schemas, playbooks across a document batch, and a document-review view with clause-level flags.
Chat grounded in your documents, with cited sources
Grids and templates that turn contract sets into structured fields
Playbooks that apply a clause standard across a batch
How it works
I structured the app around three verbs, ask, extract and check, and kept each one openable down to the source clause. Templates like NDA Key Terms or GDPR DPAs seed a grid's schema, which stays editable.
The document-review screen puts an annotated clause list next to a scoped assistant, so a flag like a low indemnity cap is one click from its context.
Why it matters
Contract review is slow because the evidence is buried. Grounding every answer in an openable source, and making extraction and checks reusable, turns a pile of PDFs into something a team can actually interrogate.
