Detecting Logical Relation In Contract Clauses
This work aims to assist contract authors by reducing error-prone human effort in analyzing contracts, but it appears incremental as it applies existing NLP methods to a specific domain.
The paper tackled the problem of automating the detection of logical relations between clauses in contracts to identify potential contradictions, addressing it as a Natural Language Inference task, but no concrete results or numbers are provided in the abstract.
Contracts underlie most modern commercial transactions defining define the duties and obligations of the related parties in an agreement. Ensuring such agreements are error free is crucial for modern society and their analysis of a contract requires understanding the logical relations between clauses and identifying potential contradictions. This analysis depends on error-prone human effort to understand each contract clause. In this work, we develop an approach to automate the extraction of logical relations between clauses in a contract. We address this problem as a Natural Language Inference task to detect the entailment type between two clauses in a contract. The resulting approach should help contract authors detecting potential logical conflicts between clauses.