
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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Nasdaq Metrio is a sustainability reporting platform tailored for businesses at various stages of their ESG journey. It merges meticulous data collection, tracking, and management with emissions calculations and assurance. Additionally, it provides a comprehensive library of metrics from various rater and ranker frameworks as well as regulatory bodies, all cross-referenced, de-duplicated, and clarified, complete with guidance notes.
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Seedance 2.5
Seedance 2.5 is a video creation model from ByteDance Seed designed to move AI video generation from short clips toward complete creative works. Built on the multimodal audio-video joint-generation architecture introduced with Seedance 2.0, the model focuses on foundational generation, reference-based generation, long-form storytelling, and editing control. Seedance 2.5 can generate up to 30 seconds of high-quality audio-video content in one pass and supports multiple rounds of extension. This allows users to create multi-minute videos while maintaining consistency across characters, environments, shot transitions, pacing, motion, and sound. The model supports up to 30 image references, 10 video references, and 10 audio references in a single generation request. It can preserve visual composition, characters, props, voices, scene style, motion paths, and creative intent across complex multi-subject videos. Editing capabilities include timestamp-level changes, green screen workflows, camera perspective editing, reference-based editing, and targeted modifications to characters, actions, or plot elements. Seedance 2.5 is rolling out through Jimeng AI and Doubao Pro, with API access planned through BytePlus ModelArk. By combining long-form generation, multimodal references, cinematic quality, synchronized audio-video output, and professional editing control, Seedance 2.5 helps creators produce more coherent and polished AI videos.
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JabRef
Established in 2003, JabRef has become a vital tool for numerous students and researchers dedicated to scholarly pursuits. Our primary goal is to foster knowledge advancement and enhance the quality of scientific investigations. We are strong proponents of open access to information, believing that contemporary science thrives within a transparent institutional framework. This commitment drives us to develop JabRef as free and open-source software, utilizing a straightforward text-based file format that eliminates vendor lock-in. Users can effortlessly retrieve comprehensive bibliographic details using identifiers such as ISBN, DOI, PubMed-ID, and arXiv-ID. Additionally, bibliographic records can be enriched by cross-referencing them with curated online databases like Google Scholar, Springer, or MathSciNet. JabRef also offers features to automatically rename and relocate associated files following user-defined rules. Furthermore, it allows for the customization and addition of new metadata fields or reference types. Users can efficiently organize their articles through keywords, tags, search terms, or personal classifications, benefiting from native support for BibTeX and BibLaTeX, which are ideal for text-based typesetting systems like LaTeX and Markdown. With such robust capabilities, JabRef empowers users to streamline their research workflow effectively.
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