Can AI draft an extension-of-time claim?
It can assemble the skeleton — events in sequence, records cited, structured the way an assessor expects to read it — in minutes rather than a fortnight. It cannot form the delay-analysis or legal judgement, and it must not. That is your planner and your commercial lead.
What is actually slow about an EOT claim
Not the argument. The argument is usually clear to the people who lived it, and often has been for months.
What is slow is the assembly: finding the diaries, the instructions, the notices, the correspondence and the programme revisions; establishing what happened on which day; and putting it into the sequence and format an assessor will accept. That is the fortnight, and it is a fortnight of expensive people doing document retrieval.
What changes when the skeleton assembles itself
The question stops being “does anyone have two weeks to find out whether we have a claim?” and becomes “is this claim any good?”. Those are extremely different questions, and only one of them gets a useful answer.
Which matters most for the claims that currently do not get made at all — the ones where the entitlement was real, the records existed, and nobody had the fortnight. Those are pure loss, and they are invisible, because a claim that was never made leaves no trace anywhere.
And what must remain human
The delay analysis methodology. The causation argument. The concurrency position. The commercial judgement about what to claim and what to leave. These are not assembly tasks and they must not be treated as such.
The Studio produces a first draft with its sources cited. Your planner and your commercial lead produce the claim. What changes is that they spend their time on the argument rather than on locating the records the argument rests on.
In the guides
References
- module: /modules/ai-document-studio/ — claim and delay-narrative drafting from contemporaneous records
Zepth is the construction project delivery platform — it runs construction, procurement and asset management on one record, and does the work: reading the drawings, reviewing the submittals, matching the invoices and flagging the risks, with a human sign-off on anything consequential.
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