With 82% of lawyers in the UK already using or planning to use AI, according to a ÀÏ˾»úÎçÒ¹¸£Àû survey, the time is ripe for those yet to adopt this technology to take the plunge. This blog will guide you through the initial steps of integrating generative AI into your practice, highlight key use cases, and provide tips on ensuring accuracy and reliability.
The rise of AI in law
Generative AI is transforming the legal sector by streamlining routine tasks and enhancing efficiency. As Jonathan Kewley, Partner at Clifford Chance, notes, "The kind of applications we're seeing – the way it's been rolled out, the innovation, the investment – it's off the scale."
The adoption rate has soared, with AI users in the UK jumping from 11% in July 2023 to 41% in September 2024.
Key use cases
- Legal research and document review: AI can quickly sift through vast amounts of data, identifying relevant information and patterns. Bhavisa Patel from Eversheds Sutherland highlights that "activities such as legal research, document review, and contract analysis will become simpler and quicker."
- Contract analysis: AI tools can assist in drafting and reviewing contracts, ensuring consistency and identifying potential issues.
- Client insights: AI can provide data-driven insights, helping lawyers offer more tailored advice to clients.
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Assess your needs
Begin by identifying the areas in your practice where AI can add the most value. As Greg Baker from Linklaters suggests, "We collect the requirements from our colleagues and clients and scan the market globally for AI products which meet business needs."
Choose the right tools
Select AI tools that align with your practice's needs. Consider factors such as ease of use, integration capabilities, and the reliability of the AI's data sources.
Implement training and support
Ensure your team is well-equipped to use AI tools effectively. Joe Cohen from Charles Russell Speechlys emphasises the importance of firmwide training and engagement plans to support AI adoption.
Human oversight
Despite AI's capabilities, human verification remains crucial. Dr. Katy Peters from the University of Surrey advises, "It will still be necessary to create appropriate prompts, review responses, adapt templates and challenge discrepancies."
Addressing AI hallucinations
AI can sometimes generate inaccurate information, known as hallucinations. To mitigate this risk, use AI tools grounded in authoritative legal sources with verifiable citations. A survey found that 72% of lawyers feel more confident using AI with linked citations to verifiable authorities.
Confidentiality and security
Ensure robust data protection measures are in place to prevent leaks of confidential information. Tom Whittaker from Burges Salmon stresses the importance of information security requirements and AI use policies.
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Adapting to AI-driven efficiency
As AI increases efficiency, traditional billing models may need to evolve. The ÀÏ˾»úÎçÒ¹¸£Àû survey found that 39% of private practice lawyers expect to adjust their billing practices due to AI. The focus is shifting from hours worked to value delivered.
Communicating with clients
Be transparent with clients about how AI is used in your practice. This builds trust and helps manage expectations regarding pricing and service delivery.
Find out more about Lexis+
The integration of generative AI into legal practice is not just a trend but a necessity for staying competitive. By understanding its potential, taking strategic steps to implement it, and ensuring accuracy and security, lawyers can harness AI's power to enhance their services. As Laura Hodgson from Linklaters aptly puts it, "The legal profession was overdue for a shake-up," and generative AI is the catalyst for this transformation. Embrace the change, and position your practice at the forefront of innovation.
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