A valuable but tedious and often neglected part of complex litigation is turning pleadings into a usable analytical framework: identifying the issues, mapping competing positions, and building a structure the team can actually work from.
Recent advances in AI have changed what is possible.
In this discussion, I demonstrate how we can now use AI to generate structured issue frameworks directly from pleadings and RFIs - producing not just summaries, but an organised architecture of the dispute that teams can immediately begin working from.
Using the publicly available pleadings from the PCP v Barclays litigation as an example, the video shows how AI can help generate:
structured issue hierarchies;
competing party positions;
proposition chronologies;
linked analytical frameworks; and
working structures for evidence review and investigation.
The aim is not to replace legal analysis, but to remove a major source of friction in getting complex cases organised and trial-ready.
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