AI & ML

Subjecting agentic AI to an equivalent of the FCA’s existing rule book could deprive millions of investors of valuable help

There are several ways to crack the valuation nut. Some suggest the company may be worth far more

Urging Congress to pass federal guardrails on the technology, Illinois Gov. JB Pritzker said, “You can’t do this state by state. This needs to be a national effort as well as an international endeavor, especially together with our allies, because AI is not going to go away.”

Treasury secretary Scott Bessent met his Chinese counterpart He Lifeng in New York

In a meeting on Sunday, the U.S. Treasury secretary and China’s vice premier talked about having a shared vision on the goals of artificial intelligence and the threats it poses.

TL;DR AI-assisted paper writing needs more than a strong drafting instruction. It needs an agreed assistance level, the author’s actual position, source support for consequential claims, exact quotation checks, preserved revisions, and a delivery process that tests the files people will review. The workflow described here combines 10 intake topics, 10 collaborative behaviors, and 20

TL;DR AI can make legal research faster, but speed is not the hardest problem. The harder problem is preventing an apparently polished research memorandum from outrunning the matter’s authority, conflicts status, jurisdiction, factual record, confidentiality restrictions, current law, or responsible attorney. A safer legal AI workflow treats the model as part of a controlled research

TL;DR AI can materially accelerate contract inventory, clause comparison, issue spotting, drafting, commercial reconciliation, and obligation extraction. The dangerous implementation is the one that treats those capabilities as permission to let a model decide what the contract means, what risk the company should accept, or which concession should be sent to a counterparty. A production

TL;DR AI can reduce the mechanical work in regulatory change analysis: collecting source metadata, separating legal status, decomposing provisions into obligation records, identifying unresolved applicability facts, mapping obligations to controls, and assembling remediation work. That is useful only when the workflow prevents the model from silently turning assumptions, guidance, settlements, or incomplete research into legal

TL;DR AI can make an internal investigation faster to organize without making it safer to automate. The defensible pattern is an attorney-controlled operating model in which urgent risks are handled first, preservation is deliberately scoped, evidence retains provenance, interviews remain human-controlled, allegations are tested against supporting and contrary evidence, and factual findings stay separate from