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Practical, sourced guidance on AI citation integrity, attorney-client privilege, court AI-certification rules, and post-quantum confidentiality. Informational, not legal advice.
More judges now require an AI certification on filings. What these standing orders make you attest to, and how to satisfy them without slowing your team down.
Read →A practical framework for a law firm AI policy that lets attorneys use AI safely: approved tools, verification, confidentiality, and provable enforcement.
Read →Consumer AI is not confidential by default. What ABA Opinion 512 requires before you put client information into any AI tool, explained for your firm.
Read →Legal AI fails two different ways: inventing cases and misreading real ones. Which failure each verification method catches, and why it matters most now.
Read →Privilege never expires, so encrypted files stolen today can be decrypted later. Why legal confidentiality needs post-quantum protection before 2030 arrives.
Read →Sanctions for AI-fabricated citations are climbing past six figures. What courts are doing, the cases to know, and how to prevent it before you ever file.
Read →Zero-retention is a promise; attestation is proof. How law firms can cryptographically show privileged material never left an approved boundary today.
Read →Deterministic lookups, genAI review, and verifiable certificates catch different citation failures. A method-by-method comparison for legal teams here.
Read →After US v. Heppner, AI chats may not be privileged. How law firms can use AI while protecting client confidentiality, and prove the isolation right now.
Read →A step-by-step way to confirm every AI-drafted citation exists, is quoted accurately, and is good law before you sign a filing. See the workflow here.
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