Thomson Reuters Training & Support
Thomson Reuters strongly encourages against including personal information or customer-specific data where it is not appropriate or required, such as in search queries, as this kind of data does not enhance the effectiveness of the search results. Customers are responsible for determining the content they input into our products, and for doing so in accordance with applicable laws.
In Westlaw we de-identify the user and aggregate search query terms together with the results across all Westlaw users. We use the aggregated usage data to improve product design by identifying functionality to focus on and improve based on frequency of user interaction with the product.
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Search queries and viewed documents are retained and appear in a user's research history, making it easier to retrieve and review prior research. Usage data is collected for billing purposes and shared with systems for users to view their own needs.
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Examples of types of data that are collected as user input on Westlaw include search queries, engagement with features, in-product feedback, and document interactions such as viewing, adding a note, delivery selections, and KeyCite links.
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You don't. Westlaw's AI-Assisted Research tool is designed to jump start your research. It provides you with a synthesised answer to your question based on the primary law (cases and current legislation) it has found that best relates to your question.
No. Westlaw Precision with Al-Assisted Research and Ask Practical Law Al both consider only the customer question as input. There are no options to upload documents into products.
An AI hallucination is when a large language model (LLM) generates false information. Hallucinations largely happen due to three causes: poor data quality, the AI’s training and generation methods, and unclear input context.
It will take about 1-4 minutes to generate the AI summary because we do a lot more discovery and processing compared to a traditional Westlaw search, including sending relevant materials to the language model for analysis.
Yes. Prior conversations will be available on the left-hand side of the search screen during a session and can also be found in a user’s search history.
365 days
The time out period is 6 hours, however some browsers can override with their own inactivity timeouts.
System requirements for the new Westlaw are:
Westlaw and Practical Law products employ a Retrieval Augmented Generation (RAG) approach, grounding the Large Language Model (LLM) in Thomson Reuters' content when generating a response. Responses include source citations, enhancing transparency and allowing users to easily verify the underlying language supporting the response. Thomson Reuters strongly recommends customers validate all responses.
No, getting started is specific to the user.
No. The AI does not summarise cases. CoCounsel does have a summarisation capability.
No. The URL has not changed from Westlaw Australia to Westlaw Precision Australia. Even after switching to Westlaw Precision Australia, all deeplinks will continue to function.
Because users' registration keys will not be changed when switching from Westlaw Australia to Westlaw Precision Australia. All alerts, folders, history, favourites and custom pages from Westlaw Australia will be present on Westlaw Precision Australia. If customer previous alerts are not present on Westlaw Precision Australia, please contact Tech Care. It's likely that a new registration key is provided for Westlaw Precision Australia.
The synthesised answer may be expressed differently as the AI will likely not draw upon the same sources for the answer. The AI operates on a non-deterministic system and so the same input can produce both different or the same output.
No. The AI-Assisted Research tool in Westlaw Precision Australia does not support Boolean Terms and Connectors.
The AAR is updated every 24 hours. If you are looking for a case that was handed down by the High Court this morning you should run a search from the global search bar.