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AI and Data Teams
AI Tools for Judges: What Belongs on the Bench and What Does Not
Judges are already using AI. A Northwestern University study of 502 sampled federal judges found more than 60 percent of the 112 who responded had ...
August 18, 2026
From Search to Analysis: Working a Case File Without Reading Every Page
AI case analysis for judges is easiest to understand as a spectrum with a hard stop at one end. At the near end is search, which nobody objects to. ...
August 18, 2026
Measuring Court Performance: Backlog, Adjournments, and Time to Disposition
Court performance backlog measurement is usually treated as a reporting obligation attached to the end of a program. The judiciaries that have ...
August 18, 2026
AI Translation of Judgments, Documents, and the Spoken Record
A judgment is delivered to the parties. If a party cannot read it, the delivery was formal rather than actual, and in jurisdictions where a ...
August 18, 2026
Can AI Transcription Be Trusted With the Official Court Record?
Asking whether AI transcription is accurate enough for court is the wrong question, because accuracy is not a single number and the record is not a ...
August 18, 2026
Searching a Court's Own Prior Rulings and Transcripts
Ask a judge how comparable matters were handled before and you will get one of two answers. Either a recollection, which is honest and incomplete, or ...
August 18, 2026
Writing an AI Policy for a Court: Approval, Disclosure, Review, and Audit
Most courts writing a court AI policy are writing it late. That is not a criticism, it is the position nearly everyone is in, and it changes what the ...
August 18, 2026
Running LLMs On-Premises: The Realities Nobody Advertises
Running an LLM on hardware you own takes about ten minutes. Download an open-weight model, start a runtime, send a prompt, watch the tokens arrive. ...
August 12, 2026
Model Portability: Keeping the Ability to Change Your Mind About AI
Ask whether you could move off your current AI provider and the answer is more encouraging than the question expects. Swapping which model answers a ...
August 12, 2026
Choosing an On-Prem Model: A Practical Evaluation Framework
Choosing which open-weight model to run on your own hardware is a measurement problem rather than a research problem. The decision that holds up is ...
August 12, 2026
Running Agentic AI Workflows on Infrastructure You Control
Agentic AI runs on premise, and the interesting question is not whether the model can be served locally. That part is solved, and it sits inside the ...
August 12, 2026