Since its founding, Lawfare has produced rigorous, in-depth research at the intersection of law, national security, foreign policy, and technology. In 2025, these efforts were unified under the Lawfare Research Initiative. This page collects all of Lawfare’s published research papers, along with podcast interviews featuring their authors.
On this page you will find links to view Lawfare's various research projects.
Special Projects
Lawfare's Research Intiative
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Lawfare Daily: Open Banking and the Benefits of Interoperability with Alexander Rigby and Chinmayi Sharma
Discussing the promise and pitfalls of interoperability. -
Open Banking: A Case Study in the Benefits of Interoperability
Policymakers must prioritize decentralizing decision-making power in industries before true technological decentralization can occur. -
Lawfare Daily: Peter Salib on AI Self-Improvement
What are the risks of AI self-improvement? -
AI Will Not Want to Self-Improve
Classic arguments for AI risk assume that capable, goal-seeking systems will naturally attempt to improve themselves, but a closer look at the operative incentives reveals a more complicated story. -
Software Liability and Insurance
Insurers can bring unique evidence and legal strategies to software liability cases if the regime creates a path for subrogation. -
Will a Cybersecurity Safe Harbor Raise All Boats?
A private certfication model, leveraging best-in-class cybersecurity assessment and audit practices, could be bolstered by public auditors and reinforced by downstream litigation models with relatively l... -
The Lawfare Podcast: Bryan Choi on NIST's Software Un-Standards
Discussing NIST's history in setting information technology standards -
NIST's Software Un-Standards
NIST’s latest forays in risk management frameworks disavow concrete metrics or outcomes, and solicit voluntary participation instead of providing stable mandates. -
The Lawfare Podcast: Riana Pfefferkorn and David Thiel on How to Fight Computer-Generated Child Sexual Abuse Material
One of the dark sides of the rapid development of artificial intelligence and machine learning is the increase in computer-generated child pornography and other child sexual abuse material.
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