AI Clause Extraction for Legal Documents

Mage extracts over 30 provision types including change of control, assignment restrictions, liability caps, indemnification terms, termination rights, governing law, non-compete clauses, exclusivity provisions, consent requirements, and renewal terms. You can also define custom extraction fields for deal-specific provisions.

Mage uses paragraph-level analysis with multi-model consensus to achieve high accuracy. Every extracted clause links directly to the source text, allowing attorneys to verify any finding with a single click. The AI maintains consistent extraction quality across thousands of documents without fatigue.

Yes. Mage includes OCR support for scanned documents and image-based PDFs. The system processes scanned contracts with the same extraction capabilities as native digital documents, though native PDFs and Word documents produce the highest accuracy.

After extracting clauses from all documents, Mage organizes findings in a structured grid. Each row represents a document and each column represents a provision type. Attorneys can compare the same clause across hundreds of contracts simultaneously, identifying outliers and patterns.

Yes. Beyond the standard provision types, Mage supports custom extraction fields. You can define industry-specific or deal-specific provisions to extract, such as most-favored-nation clauses, audit rights, or data protection terms relevant to your particular transaction.

Change of control provisions are among the most critical in M&A diligence. Mage identifies these provisions across all contracts in the data room, extracting the specific trigger language, consent requirements, and consequences. This gives deal teams a comprehensive view of change of control exposure.