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Clause details extracted by AI are stored in the 'Extracted Clause Text' field. The system will also try to identify matching clauses from the Clause Library using the "SEMANTIC-TEXTUAL-SIMILARITY-AS" model and displays the best match as the 'Most Similar Clause'.

Use Case

This table is used to store clauses and clause details that are extracted from contracts and pulled into Agiloft using an AI model called ATHENA-CE. Users don't usually create records in this table; records are generated using a machine learning action.

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• Create: all create rules for contract clauses (Web, API): This is an existing rule that contains additional actions to find the closest matching clauses from the Clause Library.
• Create/Edit: AI Risk Actions: This rule runs whenever clauses are extracted from a document or are manually tagged, or existing Contract Clauses are modified. IT refreshes the list of matching clauses, sets the best match as Most Similar Clause, and calculates Similarity to Source Clause, Similarity Risk Rating, and Calculated Similarity Risk.