Posts

How 80 years of matrix multiplication — from a 1943 neuron model to trillion-parameter transformers — built the AI reading your contracts

LLMs learned language without ever encountering what language refers to. That gap between syntax and semantics explains why they fabricate citations, can't count letters, yet write flawless code.

A proof of concept for using AI and synthetic SAR data to estimate how many FCPA enforcement actions may have originated from FinCEN suspicious activity reports — and what that tells us about the hidden plumbing of anti-corruption enforcement.

Medicare claims, tax returns, PPP applications — the government already holds a closed, mostly clean dataset of every transaction it needs to find fraud. It doesn't need SARs or tips. It just needs to run the query.

LLMs ace simple retrieval benchmarks but collapse on the tasks that matter in fraud investigations — finding semantically disguised evidence buried in millions of documents

From chat windows to enterprise platforms — a framework for understanding where your firm sits on the AI adoption curve

Corporate legal departments are done paying law firms to relearn what they already taught them. AI-powered knowledge management is turning institutional memory into a weapon against duplicate billing.

Clients are rewriting outside counsel guidelines, cutting budgets, and insourcing AI-powered work. The data on what they expect — and where law firms are falling short.

How managed legal services providers are integrating AI into human-driven workflows

A buyer's guide to eleven legal AI products across litigation, corporate practice, and practice management