A contract is a system composed of numerous terms, many of which interact with one another in a variety of ways. As a result of these interactions, a contract is more complex than the sum of its terms. To fully understand a contract, one must go beyond the individual terms and examine the contract as a whole. A key feature of this holistic view of a contract is the importance of a contract’s structure: how a contract’s terms are put together and how those terms interact. The structure of a contract can be modeled as a network in which the terms of the contract are the nodes of the network and the interactions between the terms are the links. There is a robust body of scholarship in which scholars have modeled legal texts as networks. Thus far, however, this scholarship has primarily focused on public legal texts such as judicial opinions, statutes, and constitutions. Building on this scholarship, this Article introduces and empirically demonstrates the concept of a “contract map”: a visual and quantitative representation of a contract’s structure. The Article begins by describing the process for constructing a contract map. The Article then discusses how a contract map can be used to visualize and quantitatively analyze a contract’s structure. The Article argues that contract maps improve contract design, contract interpretation, and legal technologies. The Article then empirically tests contract maps by mapping the National Venture Capital Association’s model legal documents for a venture financing. The Article finds that the NVCA documents share multiple structural characteristics with previously studied public legal texts. The structure of an NVCA venture deal is a low-density, highly connected, modular network with a substantially skewed distribution of interactions. The Article also discovers a concerning characteristic of the NVCA documents: the terms that are the most substantively important are also the terms that are the most susceptible to structural disruption. The Article makes three primary contributions. First, the Article extends the scholarship on legal networks to contracts between private parties. Second, the Article introduces contract maps and discusses their construction, visualization, analysis, and application. Third, the Article empirically maps, visualizes, and quantitatively analyzes the NVCA model documents, providing valuable insights into the structure of venture capital deals. The Article’s conceptual framework and empirical findings have implications for scholars, lawyers, judges, and legal technology companies