This sample form provides a Research Misconduct Policy that assists research staff members to establish and maintain high standards of ethical practices in research. The form contains policy that describes ongoing obligations of research staff to promote an environment that supports ethical research and process.
This checklist can be used as a starting point for assessing legal issues in negotiation for software/technology services from a Buyer's standpoint.
This checklist contains a sample list of questions that can be used as a starting point for conducting due diligence from a privacy and security standpoint.
This checklist contains requests that can be used as a starting point for conducting due diligence from an information technology standpoint.
This checklist includes key issues for employers to consider regarding return-to-work and COVID-19 vaccination policies in the United States.
This resource is a Diversity, Equity, and Inclusion (DEI) checklist, developed by N.Cornell Boggs, III of Quarles & Brady LLP, that provides a thought starting process for In-house leaders and their corporate legal department as they engage in conversations that are aimed at making improvements internally, and externally with the service providers their company works with.
While the focus on Environmental, Social and Governance (ESG) issues is not new, the importance of reporting and treating ESG as a key component of your business and governance processes has increased in recent years. This article will identify what ESG means from an in-house counsel perspective and steps for developing your company’s ESG program.
This resource is a checklist of five points to guide individuals on how to transition from one job to the next.
This resource is a checklist of five points to improve your ability to manage a team and stay connected from a remote setting.
This resource is a report published by the Coalition for Integrity, which summarizes how machine learning can be utilized in anti-bribery case and corruption compliance programs. It provides analyses of the advantages of the challenges of machine learning in these cases and makes subsequent recommendations for companies to consider as well.