HaystackID

Combines artificial intelligence, data science, and expert reviewers to power efficient and effective discovery, driving better results in complex investigations and lawsuits.
eDiscovery Solutions Artificial Intelligence Legal Technology

HaystackID is an eDiscovery services company that helps corporations and law firms get through complex, data-heavy investigations and lawsuits. With technology and reviewers trained and managed to get the best results, HaystackID provides services in document review, cyber discovery and legal discovery.

HaystackID has a range of services to meet specific needs:

  • Global Advisory: Advice on next-gen discovery, cyber discovery, privacy and compliance, information governance and enterprise managed solutions.
  • Discovery Intelligence: The combination of artificial intelligence, data science, machine learning and expertly trained reviewers to power efficient and effective discovery.
  • Discovery Management Platform: A suite of software, platform and infrastructure services that combines HaystackID Discovery Intelligence with best-of-breed technology to provide full eDiscovery capabilities.
  • Global Managed Review: The use of ReviewRight technology for AI-powered reviewer ranking and selection to deliver the best results in document review.
  • Cyber Discovery Services: Post-breach discovery, data mining and review, and Protect Analytics AI for Relativity.
  • Legal Discovery Services: Forensics-first approaches, early case insights and full review services.
  • Enterprise Solutions: M365, Relativity and other platform managed solutions, privacy, compliance and information governance.

HaystackID serves more than 500 leading corporations and law firms around the world, helping legal departments get the most out of advanced technology and white-glove customer service. That lets clients find, understand and learn from data more efficiently and at lower cost. By focusing on the practical application of AI and data science, HaystackID is working to make eDiscovery more accessible and manageable for companies wrestling with data problems.

Published on August 1, 2024

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