Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.
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DWR eDiscovery allows legal professionals to review, process, and produce documents that could be relevant to litigation.
Our Software and hosted Subscriptions offers a wide range of document review tools, including AI search, keyword search, keyword highlight, metadata filtering and marking documents. It also has privilege log, redactions and analysis tools to help users better understand their document corpus. These features can all be done by the user themselves, so they can do the standard eDiscovery tasks without consulting.
DWR eDiscovery offers subscriptions to both hosted and on-prem eDiscovery. DWR Pro desktop software can be downloaded to your computer or server. DWR Pro costs $1995per concurrent use license/year. Cloud subscriptions are charged per-GB for hosting and there are no hidden fees. The entry-level Single Matter subscription costs $10/GB/Month and has a minimum of $250 per month. Private clouds allow multiple matters and multiple users for no more than $4/GB/month moving quickly to $1/GB/month.
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Google Scholar
Google Scholar serves as a free search engine dedicated to indexing and granting access to scholarly works across multiple fields and formats. It enables users to look for a variety of academic resources, such as articles, theses, conference proceedings, preprints, technical documents, books, and more, sourced from universities, research organizations, academic publishers, and professional associations.
The platform is designed to assist researchers, students, and professionals in locating pertinent academic materials for their studies or projects. Users have the capability to conduct searches using keywords, author names, or titles of publications, resulting in a list of relevant findings that frequently include direct links to the full texts or, at the very least, abstracts and citations. In addition to these features, Google Scholar offers tools that allow users to monitor citations, discover related works, and export citation information in diverse formats, thereby enhancing the research experience. This comprehensive resource is continually evolving to better serve the needs of its users.
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Connected Papers
Connected Papers is an innovative visual instrument aimed at aiding researchers and applied scientists in uncovering and navigating academic literature relevant to their specific areas of study. By submitting a "seed paper," users can create a visual graph that illustrates related papers, utilizing a similarity metric based on analyses of co-citation and bibliographic coupling. This method enables users to discover significant literature, even in cases where direct citations may not exist. The generated graph offers a clear visual representation of the research ecosystem, emphasizing key works and highlighting possible directions for further investigation. By enhancing the literature review process, Connected Papers strives to make it more efficient and thorough for researchers, ultimately fostering a deeper understanding of their fields. Moreover, this tool encourages a more interconnected view of research by revealing unexpected relationships between studies.
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