Iris Richard

Background

About Iris Richard

Iris Rita Richard is an attorney admitted to practice in DC and before SCOTUS. Iris focuses her practice on discovery, corporate law, contracts, data privacy laws, and researching means of demystifying digital assets like cryptocurrencies, non-fungible tokens (“NFTs”), and blockchain-based digital assets to assist law makers in the regulation of such assets. About In addition to her career as an attorney with small, medium, and “BIG” law firms, Iris has worked for Fortune 500 companies as a corporate law clerk, internal auditor - information technology (“IT”) controls, systems engineer, and software developer. Iris has more than 20 years legal experience and 30+ years IT experience in the corporate and private sectors. Iris is very skilled in consulting with senior management, leading diverse project teams, and managing professional and support staff. Projects Developed course for training professionals in the construction industry on the specific legal issues and consequences encountered by construction professionals in the formation of agreements with partners, subcontractors. In the process of building a regulatory consultancy practice in DC with her very trusted friend, colleague, securities and corporate structure guru, and son, James Burrell, II, Esq. Experiments Iris is always working on something…. Due to FTX, Bankman-Fried woes, which were, in Iris' opinion, more a governance issue than digital assets issue, Iris is currently researching and developing a survey for all 50 states of existing or non-existing applicable statutory, regulatory, and case laws regarding corporate governance for exchanges dealing in digital assets. Includes director and officer liability as it pertains to the directors’ duty of care, the business judgment rule, the duty of loyalty, and whether a statute standard exists or is any different for non-digital assets. Reach out if that sounds interesting to you. Write Iris at iris@burrell-law.com or irisrichard@live.com. Attorney Advertising. Prior results do not guarantee a similar outcome.