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Top government agencies trust Casepoint because security informs everything we do. Consolidate #eDiscovery & #Legal hold into a unified platform built and refined for government regulatory and legal discovery needs.

Top government agencies trust Casepoint because security informs everything we do. Consolidate #eDiscovery & #Legal hold into a unified platform built and refined for government regulatory and legal discovery needs.

Top government agencies trust Casepoint because security informs everything we do. Consolidate #eDiscovery & #Legal hold into a unified platform built and refined for government regulatory and legal discovery needs.

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Casepoint’s secure data discovery platform helps companies respond more effectively to requests for their sensitive enterprise data. With robust data connectors, industry-leading processing speeds, and built-in AI assistance, Casepoint gets you to the information you care about sooner for eDiscovery activities, investigations, records requests, or privacy and breach response.

Top government agencies trust Casepoint because security informs everything we do. Consolidate #eDiscovery & #Legal hold into a unified platform built and refined for government regulatory and legal discovery needs.

*Announcement: OpenJustice Challenge at the LLM CodeX - Stanford Center for Legal Informatics Join us this Sunday at Stanford Law School celebrating the 20th anniversary of Codex—a unique opportunity to collaborate on the OpenJustice challenge, explore other exciting projects, and compete for a $10K prize pool. #OpenJustice is a community platform designed to enable legal professionals to collaboratively build and deploy custom AI models using plain language through intuitive reasoning graphs. This approach allows users to visually map out legal reasoning, making the creation of AI models more accessible and transparent. For a practical demonstration of custom model creation on OpenJustice, you can view the following example: https://lnkd.in/eACUi3Sb In the upcoming hackathon, our challenge invites participants to: Enhance the Creator Interface: Streamline the process for legal experts to capture and share their knowledge through user-friendly design improvements. Address Community Needs: Identify and implement solutions that foster engagement and growth within our user community. Develop Collaborative Features: Create tools that promote active contribution to the centralization of legal reasoning and knowledge via reasoning maps. Participants will have access to OpenJustice's system prompt exposure, providing transparency into how the AI processes legal reasoning patterns and interprets instructions. This feature allows teams to understand interactions, identify gaps, and design improvements for a more intuitive and effective platform. Hackathon Details: Date: Sunday, April 6, 2025 Location: Stanford University Tracks: First-Build Track: Develop innovative legal tech solutions from scratch. VC Competition Track: Advance and showcase ongoing legal tech projects or startups. This hackathon is an opportunity to contribute to the evolution of legal AI and collaborate with professionals dedicated to enhancing access to legal AI technology for the community. Opening Keynote & Ceremonies: Rawia Ashraf (Thomson Reuters) Shyamal Hitesh Anadkat (OpenAI) Vedant Suri (General Catalyst) For more information and registration, visit the Hackathon Event Page. Join our Discord Channel for the hackathon and the OpenJustice community: https://lnkd.in/e7A-56_J

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