Contract and pack extraction
Upload contracts, disclosure packs, or a data room and extract recurring fields such as parties, dates, obligations, and potential gaps into a shared Table.
AI document review with cited answers.
Add documents to a Table, extract the fields you need, and ask Clara. Every answer cited back to source.
The data room
gap.
Key dates, parties, and disclosure gaps stay buried in PDFs until someone re-reads the pack.
Documents pile up while the shared extract falls behind.
Answers lose their route back to the clause.
Each new question means another full read.
How Tables work
Add source documents, extract structured fields, then ask Clara with citations on every answer.
Add documents
Upload a data room or matter pack, or use the documents already in the matter.
Extract the fields
Pull key dates, parties, and fields into columns you can review.
Ask with citations
Clara answers from the Table. Every claim points back to source.
What it stores, extracts,
and grounds.
What it stores
Your own uploads, or the matter's documents.
Data room uploads 
Contracts & packs 
Granular permissions What it extracts
Structured fields you can inspect.
Tables of key fields 
Dates, parties, gaps 
Reviewable extracts What it grounds
Answers that cite the source.
Cited Clara answers 
Clause-level links 
Approval before apply Structured AI review for contracts and data rooms
Tables turn a document set into reviewable structure. The source files remain connected to extracted fields and answers, so a legal team can verify where a conclusion came from before relying on it.
Cited document review
Ask Clara questions against the Table and follow each answer back to the source. Citations accelerate review while the lawyer assesses context and risk.
Reusable matter knowledge
Keep checked extracts available for later questions and controlled collaboration. Granular permissions limit access to the people who should work with the pack.
Upload once.
Ask with citations.
Tables turn documents into cited answers, making the next question faster to resolve.