You Rejected the MSO. You Already Signed the Trojan Horse.
Two attacks are absorbing the legal profession. They are nine months apart on the same calendar. They arrive from opposite directions and converge on the same…
Legal AI
Your AI Agent Was Built by an AI. SOC 2 Audited Neither.
The platform was Orchids, an agentic vibe-coding tool with around one million users that lists Google, Uber, and Amazon among its customers. Researcher Etizaz Mohsin, who has previously worked on Pegasus spyware research, called the failure pattern “an entirely new class of security vulnerability.”
Your Judge’s AI Search Just Became Discoverable
You don’t know what your judge typed into ChatGPT yesterday. Until April 29, 2026, that didn’t matter. Now it might be discoverable.
Verification Was Never the Competence Question. Architecture Is.
Every state bar that has issued guidance on artificial intelligence has converged on a single instruction: verify the output. The American Bar Association made it formal in Opinion 512.
Attorney-DIY Legal AI: Programmer, Auditor, Defendant
Catherine’s junior associate forwarded the GitHub link at 7:12 on a Wednesday morning. Subject line: “We can build this ourselves.” Catherine is a…
The Agentic Law Firm
The emergence of agentic AI systems — autonomous software agents capable of planning, executing multi-step tasks, and operating with minimal human oversight — represents a qualitative shift in the deployment of artificial intelligence within legal…
The Regulatory Architecture of Legal AI
The regulation of artificial intelligence in legal practice sits at the intersection of three distinct but overlapping regulatory regimes: professional responsibility rules governing attorney conduct, general AI governance frameworks emerging at the…
When the Tool Breaks: AI Liability in Legal Practice
When an AI tool deployed in legal practice produces an erroneous output — a hallucinated citation, a mischaracterized precedent, a flawed contract clause — the question of liability is neither simple nor settled. The attorney who relied on the tool,…
The Hallucination Problem: AI Accuracy and Legal Ethics
AI hallucination — the generation of plausible but factually incorrect outputs by large language models — poses a distinctive challenge for legal practice. Unlike factual errors in other professional contexts, hallucinated legal citations,…
Candor and the Algorithm: Truthfulness Obligations in the Age of AI
The duty of candor — the obligation of attorneys to be truthful in their representations to courts, clients, and opposing parties — is among the most foundational principles of legal ethics. Model Rules 3.3 and 4.1 impose affirmative obligations of…