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After a restful vacation, no in-house attorney wants to return to an overflowing inbox full of unread emails and untouched discovery documents. Unfortunately, cases move forward even when we're relaxing on the beach. Discovery deadlines pass, and new requests roll in. Before you know it, you're facing a mountain of unreviewed documents.
Rather than spend late nights chained to your desk in a desperate attempt to catch up, leverage AI to help tackle discovery backlogs. AI-powered eDiscovery tools can plow through thousands of documents in hours, scanning for relevancy and privilege far faster than any human reviewer. These tools utilize natural language processing to understand legal and contractual terminology. With machine learning algorithms trained on prior case data, the AI can classify documents and identify ones most likely to be responsive or privileged.
For Michelle Brown, Head of Legal at Randal Technology, AI-assisted document review was a game changer after returning from maternity leave. "I had over 20,000 documents waiting in my inbox," she recalled. "There was no way I could get through them manually." After uploading the documents into LegalEagle, an AI platform, the software generated a relevance score for each file, identifying the most critical ones. This allowed Michelle to focus her review on the key documents while letting AI handle the document triage.
Robert Smith, General Counsel at TC Enterprises, faced a similar dilemma when he inherited over 50,000 documents from a departing colleague. "I was drowning," admitted Robert. After implementing an AI-powered tool, Robert regained control. The software analyzed patterns from previously reviewed documents to predict relevancy and privilege for the new dataset. This axed review time from weeks to days. "AI is the life raft that keeps me afloat when document requests are flooding in," Robert said.
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