Fernando Delgado

Fernando A. Delgado is a leading authority on the application of artificial intelligence to legal, compliance, and information governance challenges. As Executive Director of AI Solutions at Lighthouse, Fernando advises corporations, law firms, and legal service providers on the responsible deployment of AI technologies to improve discovery, investigations, regulatory compliance, and legal operations. His work focuses on generative AI, machine learning, technology-assisted review (TAR), large language models (LLMs), AI governance, legal technology innovation, information retrieval, and data science applications within highly regulated environments.

Fernando is particularly recognized for bridging the gap between cutting-edge academic research and practical enterprise implementation. He helps organizations evaluate AI use cases, measure ROI, establish governance frameworks, and deploy AI solutions that balance innovation with defensibility, transparency, and risk management. His expertise spans legal technology modernization, eDiscovery, analytics, workflow automation, and emerging AI applications in corporate legal departments and law firms.

Fernando A. Delgado serves as Executive Director of AI Solutions at Lighthouse, where he leads strategic initiatives focused on developing and deploying AI-powered solutions for the legal industry. In this role, he works closely with Fortune 500 companies, Am Law firms, and legal operations leaders to identify, evaluate, and implement transformative AI technologies.

Prior to joining Lighthouse, Fernando built a distinguished academic career focused on information science, machine learning, and human-centered AI. He earned his Ph.D. in Information Science from Cornell University, where his research examined how AI systems shape decision-making, information access, and organizational outcomes.

Fernando’s scholarly work has been supported by several of the world's most respected research institutions and funding organizations, including the National Science Foundation (NSF), the MacArthur Foundation, and the Russell Sage Foundation. His research has been published in leading peer-reviewed journals and conferences sponsored by the Association for Computing Machinery (ACM), establishing him as a recognized thought leader at the intersection of AI, technology, and society.

• Association for Computing Machinery (ACM)

• INFORMS (Institute for Operations Research and the Management Sciences)

• Legal technology and AI industry working groups

• Academic and professional research communities focused on AI, information science, and technology governance

Fernando regularly collaborates with legal professionals, data scientists, researchers, and technology leaders to advance responsible AI adoption and governance across industries.

Industry Publications

• An Open Letter to AI Governance Committees: Leave Room for Innovation (Corporate Compliance Insights, September 23, 2025)

• AI in Action: Improving TAR in Antitrust Matters (Lighthouse Blog, July 15, 2025)

• Unlocking the Potential of Generative AI in eDiscovery: A Conversation with Fernando Delgado (Lighthouse Blog, June 3, 2025)

• Is AI Too Expensive? (Lighthouse Blog, February 11, 2025)

Academic Publications

Fernando’s academic research has been published in leading Association for Computing Machinery (ACM) journals and conference proceedings. His work explores artificial intelligence, information systems, decision-making, organizational behavior, technology adoption, and the societal impacts of emerging technologies.

His research has been cited across academia and industry and has contributed to broader conversations regarding responsible AI deployment, governance, and innovation. Some illustrative publications include:

• Machine Unlearning Doesn’t Do What You Think: Lessons for Generative AI Policy, Research, and Practice (2024). The 39th Annual Conference on Neural Information Processing Systems.

• The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice (2023). Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanism, and Optimization.

• An Uncommon Task: Participatory Design in Legal AI (2022). Proceedings of the ACM Conference on Human-Computer Interaction (CSCW, Volume 6).

Fernando is also a frequent speaker on artificial intelligence, governance, legal technology innovation, machine learning, and the future of work, and is regularly invited to present to executive, legal, compliance, and technology audiences. Representative speaking engagements include:

2025 INFORMS Conference

AI in Action

Chicago, Illinois | December 11, 2025

2025 Lighthouse AI Academy

Identifying Good and Bad Use Cases for AI

Online | September 17, 2025

2025 Illuminations Conference

Paths to AI Innovation and Impact

Miami, Florida | May 20, 2025

2025 Illuminations Conference

Enhancing Privilege Prediction and Privilege Log Descriptions with AI

Miami, Florida | May 20, 2025

2025 Illuminations Conference

ROI of AI: Accuracy

Miami, Florida | May 20, 2025

Legalweek 2025

Knowing When, How, and Where to Leverage AI

New York, New York | March 25, 2025

Fernando works with a broad range of corporate legal departments, law firms, and technology organizations seeking to leverage AI responsibly and effectively. His experience includes advising:

• Fortune 500 corporations

• Global multinational enterprises

• Leading Am Law firms

• Corporate compliance and governance teams

• Legal operations organizations

• Technology and innovation leaders

• Regulatory and investigative teams

Due to confidentiality obligations, specific client names are generally not disclosed publicly.

Fernando is a Chicago area native who recently moved back home (Evanston) with his husband (another Chicago native) after spending two decades living in San Francisco, New York and Stockholm.

In addition to his passion for developing applied AI systems and building multi-disciplinary teams, Fernando is an avid gardener and dog lover (with three canines currently in residence).

Fernando is passionate about advancing the practical and ethical application of artificial intelligence. He is deeply engaged in helping organizations understand both the opportunities and limitations of emerging technologies and is known for translating complex technical concepts into practical business strategies.

His background as both a researcher and practitioner enables him to bridge academic rigor with real-world implementation, making him a sought-after advisor, speaker, and educator within the legal technology community.

Fernando is recognized for helping organizations identify, evaluate, and implement AI solutions that deliver measurable business value while maintaining appropriate governance and oversight.

Representative experience includes:

• Advising legal departments on generative AI adoption strategies

• Developing AI governance frameworks and implementation roadmaps

• Applying machine learning and TAR technologies to large-scale discovery matters

• Evaluating ROI and performance metrics for AI investments

• Designing AI-enabled workflows for investigations and compliance programs

• Advising on responsible AI deployment and risk mitigation

• Developing enterprise AI use cases for legal and business operations

• Educating legal professionals on emerging AI technologies and practical applications

His unique combination of academic expertise and operational experience positions him as a trusted advisor on the future of AI within the legal industry.

Research Support and Recognition

Fernando’s academic research has been supported by:

• National Science Foundation (NSF)

• MacArthur Foundation

• Russell Sage Foundation

These prestigious grants recognize significant contributions to the study of technology, information systems, and artificial intelligence.

Cornell University

Ph.D., Information Science

The New School

M.S., Organizational Management

DePaul University

M.S., Information Systems

University of Illinois, Urbana-Champaign

B.A./M.A., Linguistics

vLex Fastcase 50 Honoree

vLex Fastcase

2025