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.
