Long files slow down review
Key obligations and risks can be buried across dozens or hundreds of pages.
Turn contracts and document sets into structured summaries, extracted terms, risk signals, and document-level takeaways, all linked back to the source material.
Summaries, terms, risks, and issues are organised for review.
Every finding can point back to the source document.
Analyse single files or broader document collections.
Documents stay isolated and are not used to train public AI models.
Outputs support legal judgment instead of replacing it.
Legal teams need to extract risk, obligations, dates, and missing information quickly without losing the ability to verify the underlying text.
Key obligations and risks can be buried across dozens or hundreds of pages.
Not every clause matters equally, but review time is limited.
A summary is only useful if the reviewer can check where it came from.
Manual review does not scale across large matter files or data rooms.
Lexandro.ai helps teams extract what matters from legal documents and keep the result connected to the exact source material behind it.
Work with contracts, policies, filings, scans, and supporting material.
Identify key terms, risks, obligations, dates, and inconsistencies.
Check outputs against source pages before using them in legal work.
Use Document insights when the legal team needs to understand files faster and preserve reviewability.
Extract obligations, risks, terms, parties, dates, and governing law.
Summarise and compare findings across larger collections.
Identify relevant provisions, issues, and follow-up questions.
Create structured briefs from scattered documents and evidence.
Lexandro.ai helps ensure the shortcut does not become a black box. Findings remain tied to documents, pages, and passages for review.
Findings are organised.
Source pages remain visible.
Works across large sets.
The tool is not a standalone gimmick. It shares the same work context, private knowledge, legal sources, citations, analytics, and cost visibility as the rest of Lexandro.ai.
Up to 100 files in a single multi-document session.
Yes. A custom-instructions field and an optional output language steer the result.
Each flag has a severity rating, a plain-language explanation, and a link to its source page.
Yes, to PDF, or you can continue in a grounded chat.
Your documents are isolated for each customer and never used to train public models.
Request a demo to see how structured document analysis works together with legal knowledge, source review, and the rest of the Lexandro workflow.