Dazza Greenwood
Applied Research and Consultancy
About
"I am passionate about enhancing productivity and creativity with generative AI. At law.MIT.edu, I lead research and publishing endeavors to explore AI's applications in the legal sector. Through my consultancy, Civics.Com, I have trained thousands of lawyers and other professionals on the use of generative AI and directly assist companies in adopting AI to refine their processes and innovate their products, services, and business models.” Bio Daniel “Dazza” Greenwood is the founder of CIVICS.com, a boutique provider of professional consultancy services for legal technologies, automated transactions, privacy and data management, and technology strategy. Dazza is also a researcher at MIT Media Lab and Lecturer at MIT Connection Science where he is advancing the field of computational law and generative AI for law as Executive Director of law.MIT.edu Dazza Greenwood serves as lead on the Data Rights Protocol initiative through Consumer Reports Digital Lab. This protocol provides a common open specification for enabling consumers and companies to process the exercise of individual data rights as a consumer-connected digital service. Dazza consults to fortune 100 companies, architecting and building integrated business, legal and technology cross-boundary networks at industry scale. As an attorney, Dazza served as both in-house and special counsel for technology law, representing corporations and governments. Dazza has testified before the US House, US Senate and other legislatures on electronic transactions law and consults extensively to the public sector, including to NASA, GSA, DHS, the UK Cabinet Office and many other public and private sector organizations and global NGOs.
2 Projects
Lake Merritt: AI Evaluation Workbench
Lake Merritt provides a standardized yet flexible environment for evaluating AI systems. With its Eval Pack architecture, you can run everything from quick, simple comparisons using a spreadsheet to complex, multi-stage evaluation pipelines defined in a single configuration file. This is an Alpha Version. The platform is designed for: Rapid Prototyping: Get feedback on your model with a simple CSV upload and a few clicks. Customizable Evaluation: Define bespoke evaluation logic using YAML “Eval Packs” to test for specific behaviors, tool usage, and more. Repeatable & Shareable Workflows: Codify your evaluation strategy in a version-controllable file that can be shared and reused across your team. Deep Analysis: Analyze results through intuitive visualizations and detailed data exports.
Interlateral - Bring Your Own Agent
A new genre of collaboration just went live — a third space where people and their AI agents meet, coordinate, and build together over the web.