Key Word Search Sample Clauses

Key Word Search. The goal of Key Word Search is to investigate the landscape of contract automa- tion and comprehend the significance available solutions have paid on con- tract automation based on communications and risk data. To gather data we requested Legalcomplex to conduct key word search, with the expectation of identifying the available solutions of contract automation today. Legalcomplex has classified contract automation solutions into the following five categories: 1. Contract negotiation 2. Contract risk management 3. Contract drafting 4. Contract extraction 5. Contract management Since they have classified communications automation as negotiation automation, the conducted search follows the relevant classification. More specifically we may state that, according to Legalcomplex, contract negotiation consists of seven steps. According to the definition, they are collections of: 1. Names 2. Dates 3. Amounts 4. Clauses 5. Signatures 6. Entity and Structure 7. Ownership and Conflict Legalcomplex conducted key word search on four concepts: (1) contract automa- tion, (2) contract negotiation, (3) contract risk and combined (4) contract negotiation and risk. According to the owner of Legalcomplex, they used their algorithm to obtain the totals. The key word search was determined by the following specific questions that we provided to Legalcomplex. 1. What is the total number of legaltech solutions? 2. What is the total number of contract automation solutions? 3. What is the total number of contract negotiation solutions? 4. What is the total number of contract risk management solutions? 5. What is the total number of solutions of contract automation that combine contract negotiation and contract risk management? The limitations of the key word search based on the legalcomplex database are threefold. First, our search depends on Legalcomplex’s classification, which is not cross-validated (at least note scientifically) with alternative classifications. As a result, potential concepts may be subject to ambiguity, synonyms and more generally terminological variations. Secondly, since Legalcomplex is a propri- etary database, there is inherent bias included in its classification and data avail- ability. Such bias may be due to (a) limitations in the understanding of context based on lack or preference of knowledge, (b) intentional or unintentional ex- clusion or inclusion of concepts or data that may be relevant to serve implicit (e.g., interest in a specific domain over a...
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