Ten agent workflows for the E-Discovery Team — digital evidence identification, custodian web activity mapping, data source discovery, preservation intelligence, web content change tracking, social media presence mapping, cloud service identification, evidence authentication support, document source verification, and litigation hold scope analysis — leveraging domain intelligence to expand the boundaries of discoverable evidence.
AI agent identifies potential digital evidence sources by mapping all web properties associated with parties to litigation — discovering domains, subdomains, and web services where relevant data may reside.
AI agent maps custodian digital activities by identifying web services, platforms, and domains where key custodians have accounts, authored content, or left digital footprints relevant to litigation.
AI agent tracks changes to relevant web content over time — detecting modifications, deletions, and additions to pages that may constitute evidence spoliation or reveal attempts to alter the evidentiary record.
AI agent identifies cloud services and SaaS platforms used by parties to litigation by analyzing API integrations, partner pages, and login portals to discover where electronically stored information (ESI) may reside.
AI agent supports evidence authentication by verifying domain ownership, page publication dates, and content provenance using domain intelligence metadata and historical tracking.
AI agent defines litigation hold scope by mapping all digital properties, data repositories, and content sources associated with key custodians and relevant entities to ensure comprehensive preservation.
AI agent identifies third-party data sources relevant to litigation by analyzing partner ecosystems, vendor relationships, and service provider integrations that may hold discoverable information.
AI agent maps cross-border discovery challenges by analyzing data location, jurisdictional requirements, and international privacy laws affecting ESI collection from global web properties.
AI agent verifies the source and provenance of documents produced in discovery by cross-referencing document metadata with domain intelligence — confirming origin, authenticity, and completeness of productions.
AI agent supports proportionality arguments by estimating discovery scope, data volumes, and collection complexity based on domain intelligence — helping courts balance relevance against burden in discovery disputes.
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