The semantic modeling of clauses and texts - aka understanding the meaning of clauses - enables the system to assess the clauses and contracts holistically. It allows a direct comparison of contracts based on their meaning rather than on the actual wording. Using this technology, the system can come up with similar clauses during writing, highlight duplicates and potential contradictions. Another use case is to automatically process, understand, route, and compare incoming documents with internal standards. Additionally, the semantic processing of contract text through AI can help by detecting inapplicable, missing information, and unclear formulation as depicted below. The system suggests potential flaws in clauses and makes optimization suggestions to the editor of the contract. The system is provided as micro services and can therefore integrate into any given (computerized) process within a law firm. We are aware of the fact that there is no standard for the legal domain rather than historically developed internal “standards” for software usage per each law firm/practise.
|Tags||semantics, nlu, nlp|