AI has to fit in house legal work
That matters because in house legal work is rarely only about research. It often sits inside document heavy workflows, internal approvals, contract review, policy work, cross functional requests, and ongoing matter context. A platform becomes more useful when it can bring together conversation documents, workspace knowledge, legal materials, and web research inside one source model.
One source model for real legal context
Lexandro is built around that structure. Workspace Documents are shared across all conversations in a workspace, while Conversation Documents stay available only in the specific chat. Law and Cases are tied to the selected jurisdiction, and Web remains a separate source type for current information.
That distinction is especially relevant for corporate teams. Some work depends on internal knowledge that should remain available across a matter or business area. Some work depends on task specific files uploaded only for one conversation. Some work depends on jurisdiction specific legal materials. A strong workflow should support all three without forcing the team into separate tools.
Review has to stay close to the answer
Review also matters. When the AI uses sources in a response, Lexandro lets users click Show sources and review them by type, including Law, Cases, Workspace, Conversation, and Web. Clicking a document source opens it in the in product PDF viewer, while web sources open in a browser tab.
From scattered requests to controlled work
For in house teams, this changes the value of AI. The system is no longer just generating text. It is helping the team move from scattered requests into a more controlled environment for analysis, drafting support, and review. That is the difference between generic AI assistance and a platform that fits real corporate legal work.