Legal AI had been present before ChatGPT emerged, which brought generative AI to the collective consciousness in November 2022. However, it was primarily “machine learning” rather than genuine AI. Machine learning is a subset of artificial intelligence that involves training a model using data to make predictions or decisions without being explicitly programmed in legal solutions for document analysis, legal research, and practice management.
Recently, numerous vendors have entered the market, and existing vendors have upgraded their solutions with AI capabilities following the advent of generative AI. A significant concern is that vendors must be able to assure their customers.
The legal profession’s future appears to be centred around lawyers working with AI Copilots rather than being replaced by them. The launch of AI Copilots across Microsoft products like Outlook and Word will make this a reality sooner rather than later. Every legal team must evaluate the best way to incorporate AI into their practice.
The integration of AI Copilots into the work of lawyers can be achieved efficiently by following a proper model. The goal should be to utilise AI capabilities to improve efficiency, accuracy, and productivity while maintaining a solid foundation of legal knowledge and skills. Here’s a proposed model for incorporating AI Copilots into legal work
Source: Law Socierty Gazette
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