01
A litigant in person filed a 300-page AI skeleton argument. The judge said the rules do not bend for that.
Marcus Pilgerstorfer KC, sitting in the Employment Appeal Tribunal, ruled on the case of Terence Hancox, who filed a 132,000-word AI-drafted appeal document. The judge said personal responsibility for AI-drafted content, already established for solicitors, applies equally to litigants in person: check accuracy, check citations, keep only what is relevant. A repeat is likely to be rejected outright.
CaseFlow angle. Extend your document intake checks to everything that reaches a live file, not only what your own team drafts. A litigant in person’s AI-drafted correspondence or disclosure needs the same verification pass as anything your firm produces internally.
02
Insurers say AI-faked evidence has moved out of claims and into onboarding.
Insurance Post reported record levels of AI-manipulated document fraud, including forged repair invoices and number plate swaps on photographs of genuine accidents, now appearing at policy inception and mid-term adjustment as well as at the point of claim.
CaseFlow angle. Provenance checks on repair invoices and damage photography can no longer sit only at the claims desk. Build the same verification step into intake and MTA workflows, because that is where the fraud is moving to.
03
The two leading AI models now cost the same on the label. The real bill still differs by four times.
GPT-6 Astra and Claude Fable 5.1 launched within days of each other, both priced at 10 dollars in and 50 dollars out per million tokens. Independent benchmarks disagree with both vendors’ own claims about which model is actually ahead, and token efficiency, not sticker price, is what drives the real cost per task.
CaseFlow angle. Do not choose a model on published pricing or a vendor’s own scoreboard. Benchmark your own document types, drafting or citation-checking tasks, and price the real token cost before switching or standardising.
04
Meta’s new AI agent takes a goal, not a prompt, and keeps working for days without you.
Meta’s Muse product accepts standing objectives rather than single instructions and runs continuously inside a confidential virtual machine that Meta says even it cannot inspect. A separate monitoring layer flags payments, logins and sensitive data transfers for approval before they happen.
CaseFlow angle. Any standing agent given access to a live claims or case file needs the same boundary, whichever vendor builds it: a defined scope, a named approver for anything sensitive, and a log that proves where it stopped.
05
The government’s own figures say a claim still takes 55.9 weeks to reach trial. That number is the funding cost on every disputed hire file.
The Ministry of Justice’s Civil Justice Statistics for April to June 2026 put the median wait to trial for fast, intermediate and multi-track claims at 55.9 weeks, faster than a year ago but slightly slower than the previous quarter. Small claims sit at 41.0 weeks, longer on both comparisons.
CaseFlow angle. Quantify what a year of hire funding costs on your own average disputed file and put that number next to whatever is actually being argued about. It is usually the stronger argument for resolving inside a framework than continuing to litigate.