Awad Law P.C. · Pro Bono & Public Interest · MMXXVI

Pro bono & volunteering work.

Beyond client work, the firm contributes to cases and organizations advancing liberty and the public interest. Amicus briefs in cases that shape the law of technology, and law-review scholarship on the questions we think matter most.

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Organizations & affiliations.

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Amicus briefs.

Many of the most consequential technology-law questions are decided in cases where the court has no technically literate voice in front of it. When a matter touches the issues we work in — software, AI, digital privacy, and the rights of developers and users — we file or support amicus curiae briefs to give courts the engineering context the parties may not provide.

See a case you think we should weigh in on? Let us know — we're always looking for technology-law matters where an amicus brief could make a difference.

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Open source & internet-governance communities.

The legal, licensing, and policy communities where much of the practical law of software licensing, copyleft, and internet governance is actually worked out:

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Law review articles.

David Awad · forthcoming, Capital University Law Review (2026)

A Federal Evidentiary Privilege Rule for Human-AI Communications: Proposing a New Federal Rule of Evidence 503.

This Article argues the Federal Rules of Evidence should be amended to create a new privilege protecting confidential communications between people and AI systems from compelled disclosure. With AI now the first and often only legal, medical, and therapeutic advisor available to millions who cannot afford counsel, leaving those exchanges fully discoverable chills the candor those tools depend on and entrenches a two-tier justice system.

David Awad · Draft, April 2026

Prompts, Weights, and Ordinary Meaning: Toward a Daubert Standard for LLM-Assisted Statutory Interpretation.

As courts begin querying large language models to determine the ordinary meaning of statutory terms, this Article shows that LLM outputs are too sensitive to undisclosed inputs — prompts, temperature, system prompts — and too prone to hallucination to be trusted as currently deployed. It proposes a Daubert-style gatekeeping framework requiring disclosure of all inputs, systematic reformulation testing, and a hearing before such outputs are admitted as evidence of ordinary meaning.