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ICLR have partnered with Canadian law tech developer Jurisage to provide natural language summaries of unreported judgments.
The summaries are created by a customised large language model (LLM) using artificial intelligence, responding to specially designed prompts.
The AI summaries offer a brief overview of cases to help ICLR.4 subscribers to sift the results from either a conventional case search or the similar cases suggested by our AI-driven Case Genie tool.
The summaries are around 100 words long and are designed to provide a quick run-down of what the case is about, who was involved, and what it decided. Each summary is accompanied by a list of the key legal issues in the case.
Not all cases will be summarised in this way. Where a case has been reported in one of ICLR’s Law Reports or another indexed series, there will be catchwords available to indicate the subject matter of the case. The purpose of the Jurisage summaries is to provide some indication of the subject matter of unreported cases. If and when such a case is reported, the AI summary will be replaced by the indexed catchwords.
The Jurisage summaries will only be accessible to paying subscribers of ICLR.4 and are intended to assist them in selecting cases for research. They are not a headnote and should not be quoted or cited in oral or written submissions.
Viewing the summaries and issues
Once the 100 word summary has been added to a new case by Jurisage, it will appear in the list of results following the case hearing details, indicated by the Jurisage icon.
Expand results to view the list of the key issues in the case.
You can also check the Expand results box at the top of the Results page in order to view the key issues in all the results simultaneously.
Provide feedback
This is currently a beta development, meaning that it is newly developed and subject to improvement in response to user feedback. Let us know what you think, either generally about the feature, or if you have comments about the accuracy or any other problem with a particular case. Email feedback@iclr.co.uk
(If, on the other hand, you think the case should be reported more fully, you can let us know via this form.)
