Moish Peltz is a co-managing partner at Falcon Rappaport & Berkman and works on digital assets, intellectual property and AI governance. His public writing and coauthored policy templates connect organizational rules with the practical use of AI tools.[3][2][4]
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Education
Juris Doctor, with Certificate in Intellectual Property Law; Levin College of Law
[2]Links
Co-Managing Partner · Falcon Rappaport & Berkman LLP
Co-Chair, Digital Assets Practice Group · Falcon Rappaport & Berkman LLP
Chair, Intellectual Property Practice Group · Falcon Rappaport & Berkman LLP
Career
Peltz co-chairs the firm’s Digital Assets practice and chairs its Intellectual Property practice. His employer biography traces cryptocurrency advisory work to 2014 and describes transactional matters, trademark work and business litigation. A 2025 firm announcement identifies his co-managing role, which includes coordinating the firm’s growth and direction.[2][3]
Contributions
The FRB repository releases separate generative-AI policy templates for law firms and other small and medium-sized businesses, alongside the firm’s adopted example. They cover approved tools, information handling, output verification, meeting transcription and agents that take actions. A customization guide identifies choices an organization must resolve for its tools, contracts and operating context. The texts are available in editable formats under CC0. Peltz is one of six named principal authors, working with the firm’s AI Committee.[4]
Ideas
In his governance essay, Peltz argues that a policy can fail when it lives only in a shared drive while employees use tools outside its assumptions. He describes operational rules for tool selection, permitted data, output review and accountability. The aim is to connect broad principles with actual workflows, oversight and responses when a problem occurs.[5]
Tools, writing & talks
Tools
Start here
Open-Source Generative AI Policies
github.comPublic-domain templates for law firms and SMBs, with a customization guide and an adopted example.
Compare the two audiences, then work through the customization guide and the firm’s adopted example. The repository calls for organization-specific choices and counsel review before adoption; use it to identify those decisions rather than copying an unchanged policy.
Principal coauthor with five named colleagues and FRB’s AI Committee[4]
Writing, research & talks
- AI Policy Templates
x.comA public-domain collection of generative AI policy templates designed to help organizations quickly create and adopt AI governance policies. Built by a digital assets and IP law firm, these templates provide legally-informed starting points for businesses navigating AI compliance. Free to use and adapt without copyright restrictions.
Catalog workOriginal source An authored essay on connecting AI governance documents with operational choices and accountability.
Author[5]