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Alex Denne
Growth @ Ƶ | Introduction to Contracts @ UCL Faculty of Laws | Serial Founder

AI-Driven Legal Research and Knowledge Management

18th December 2024
3 min
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Note: This article is just one of 60+ sections from our full report titled: The 2024 Legal AI Retrospective - Key Lessons from the Past Year. Please download the full report to check any citations.

AI-Driven Legal Research and Knowledge Management

AI-powered semantic search functions, which analyze the intent behind the user's query, can provide more precise and relevant results, making them a superior option compared to traditional keyword searches.

These developments in Legal AI are reshaping the legal landscape, offering unprecedented opportunities for efficiency and insight. However, they also present challenges that require careful consideration and ongoing dialogue within the legal community.

In the EU's regulatory landscape, companies across heavily regulated sectors currently only use legal research and case prediction tools strategically. Legal AI geared towards these use-cases may enable organizations to adopt more high-risk legal strategies, by enabling legal teams to analyze precedents and predict outcomes across multiple jurisdictions near instantly, thereby enhancing decision-making and risk management.

Note: Although 'interesting', we found that it might only be of limited use to those we interviewed while writing this whitepaper. One to watch out for, perhaps.

Interested in joining our team? Explore career opportunities with us and be a part of the future of Legal AI.

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