In the fast-evolving landscape of legal technology, understanding the tools at your disposal can significantly enhance your practice's efficiency and service quality. Two such AI tools are AI document generation and rules-based automation, each serving distinct purposes and offering unique benefits. This article aims to clarify when to deploy each technology, providing lawyers with a roadmap to make informed decisions that align with their practice needs and client expectations. By distinguishing between the capabilities and optimal applications of these technologies, legal professionals can streamline operations and improve the accuracy and customization of legal documents.

Different Types of AI in Law Practice

There are many different types and layers to the word "Artificial Intelligence." Watch our short video on the hierarchy of AI terminology.

What is Rules-Based Automation for Lawyers?

Rules-based automation involves creating systems that follow predefined rules to perform tasks. In law practice, this can include automating routine processes like filling out standard forms, scheduling, or compliance checks. These systems operate based on "if-this-then-that" logic, requiring explicit programming for each scenario they encounter. While less flexible than AI, they provide consistency and reliability for repetitive tasks, reducing human error and freeing up time for lawyers to focus on more complex legal work. As legal standards evolve, these systems can be updated to adapt to new regulations, making them a lasting element in the future of legal services.

What is Generative AI for Lawyers?

Generative AI, including technologies like natural language processing and machine learning, goes beyond simple rule-following to create new content based on large datasets it has been trained on. In legal contexts, generative AI can draft legal documents, generate legal briefs, or even suggest legal strategies based on past case law and outcomes. This AI adapts to nuances and learns from new information, potentially offering novel solutions and perspectives that may not be immediately obvious through conventional research. As generative AI continues to advance, it could significantly alter the landscape of legal services by providing more dynamic and sophisticated tools for legal practice.

Which Type of AI is Best for Your Area of Law?

Rules-Based Automation

Rules-based automation excels in areas of law with well-defined procedures and standardized documents. For example, in estate planning, this type of automation can streamline the creation of wills and trusts by ensuring that specific clauses are correctly and consistently applied according to the latest laws and regulations. Similarly, in real estate law, lease agreements, sales contracts, and closing documents can be automated to include standard provisions, which minimizes drafting time and reduces the risk of human error. Corporate law also benefits from rules-based automation, particularly in the formation of business entities and compliance filings, where uniformity and adherence to legal standards are crucial.

Generative AI

Generative AI is particularly useful in areas of law that require a higher degree of customization and analysis. In litigation, for instance, generative AI can help draft more complex legal briefs and pleadings by synthesizing information from a wide range of legal precedents and tailoring arguments to the specifics of a case. In intellectual property law, it can assist in drafting patent applications by suggesting novel ways to describe inventions or by identifying potential claims based on similar patents. Additionally, in employment law, generative AI can help navigate the complexities of discrimination or harassment cases by drafting sensitive and nuanced documents that address specific circumstances of each case. This technology adapts and learns, making it ideal for areas where legal strategies and documentations require a deep understanding of unique case details and creative legal thinking.

‍