For legal professionals, keeping up with constantly evolving legislation while drafting precise legal documents can be overwhelming. However, integrating AI can accelerate this process, boosting efficiency without compromising precision or quality.
At Arinco, we have partnered with numerous law firms to help them harness the power of AI to assist in the drafting of legal documents. In this blog, we explore key learnings from these partnerships and share considerations for legal teams looking to adopt AI.
Improving accuracy and reducing human error
A major advantage of using AI in legal drafting is the ability to reduce human error. We have found that the retrieval-augmented generation (RAG) pattern, which retrieves relevant sections from a vast index of legal documents, significantly improves accuracy. GPT-based models can then seamlessly integrate these sections into drafts.
What sets this apart is the built-in capability to automatically cite sources, ensuring that drafts not only rely on up-to-date information but also link directly to the original documents. This method reduces the risk of human error, ensuring that each draft is built on accurate and verifiable legal content.
Adapting Drafts to Client-Specific Needs
At Arinco, through our work with legal firms, we’ve found that AI plays a crucial role in customising legal documents to meet the specific needs of clients. Generative AI models, such as GPT, have the ability to incorporate client-specific language and requirements directly into drafts. This ensures higher-quality outputs that are tailored to each client, ultimately enhancing satisfaction with the final result.
Case study and real-world applications
A prime example of AI’s impact in the legal sector is our partnership with global law firm MinterEllison, where we collaborated to develop the MinterEllison Advice Generator. This groundbreaking AI-driven chatbot was designed to transform the legal advice drafting process by mimicking the behaviour of a junior lawyer, using research content and instructions provided by senior lawyers. The Advice Generator leverages Azure Open AI and Azure AI Search, utilising a retrieval-augmented generation pattern to craft precise legal advice letters complete with citations. This ensures that users can cross-reference drafts with the original research, maintaining full transparency and accountability.
The future of AI in legal drafting
The future of AI in legal drafting is incredibly promising, with significant advancements on the horizon. Large language models, such as GPT, continue to evolve, with advances set to enhance the capability of AI to comprehend and generate complex legal language with even greater accuracy. Alongside these, the development of small language models, specifically tailored to the legal field is set to change the way AI is used in legal contexts.
These targeted models, trained on vast collections of legal documents, case law, and statutes, will provide more precise and contextually relevant outputs, while being more efficient and cost-effective to deploy.
Conclusion
As the legal industry continues to evolve, the integration of AI into legal drafting is not just a technological advancement but a necessity for staying competitive and efficient. At Arinco, we are proud to be at the forefront of this transformation, partnering with law firms to navigate the complexities of AI implementation. By leveraging patterns like retrieval-augmented generation and staying committed to responsible AI practices, we empower legal professionals to increase productivity, minimise errors, and uphold the highest standards of accuracy and transparency.
