AI eDiscovery & Litigation Support
Review millions of documents in a fraction of the time it would take manually — AI-powered eDiscovery tools identify relevant files, build privilege logs, and help litigation teams focus on what actually matters in a case, rather than drowning in paper.
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AI eDiscovery & Litigation Support Tools
In modern litigation, the volume of electronic documents that may be relevant to a case — emails, messages, files, databases — can run into the millions. AI-powered eDiscovery tools handle the first pass: scanning the full document set, predicting relevance, identifying privileged documents, and building the review set that human attorneys actually read.
How AI changes the eDiscovery process
- Technology-assisted review (TAR) — the AI learns from attorney coding decisions and applies them to the full document set, dramatically reducing review volume.
- Conceptual search — finding documents about a topic even when they don't contain specific search terms.
- Automated privilege detection — flagging documents that may be attorney-client privileged based on content patterns.
What hasn't changed
Attorney review of the final document set, quality control on AI decisions, and strategic judgment about what matters to a case remain human work. AI handles scale and speed; lawyers handle judgment and strategy.
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