A key part of contract drafting involves thinking of issues that have not been addressedand adding language that will address the missing issues. To assist attorneys with this task, we present a pipeline approach for identifying missing information within a contract section. The pipeline takes a contract section as input and includes 1) identifying sections that are similar to the input section from a corpus of contract sections; and 2) identifying and suggesting information from the similar sections that are missing from the input section. By taking advantage of sentence embedding and principal component analysis, this approach suggests sentences that are helpful for finishing a contract. We show that sentence suggestions are more useful than the state of the art topic suggestion algorithm by synthetic experiments and a user study.

The theme of this thesis is the Corporate Social Responsibility. The theoretical part deals with the basic concepts and principles connected with CSR, its history, Triple Bottom Line structure and the stakeholder analysis. It also describes the available methods for measuring social responsibility and the prizes awarded for the most responsible companies. Finally, it also presents the attitudes of Czech firms and Czech public towards CSR and summarizes the main arguments for and against the concept of CSR. In the practical part are defined goals of social responsibility and the company's stakeholders and based on this facts evaluated the main activities of CSR strategy and suggested expanding activities in the Czech Republic.