Legal research and documentation assistance

TEXT_INPUT:Ask user for the legal topic they need assistance with;;CHATGPT:Prompt ChatGPT to provide an overview of the legal topic and relevant case laws;;HTTP_REQUEST:Fetch recent legal news related to the user's topic of interest;;DISPLAY_OUTPUT:Display the legal news in a user-friendly format;;DISPLAY_OUTPUT:Present a summary of the research and documentation process with step-by-step instructions

Generative AI models such as Language Models (LLMs) and Image Generators can vastly improve efficiency in legal research and documentation. LLMs like OpenAI's GPT-3 can be trained to understand legal terminologies, precedents, and statutes, making them capable of providing instant legal advice or suggestions. They could auto-generate summaries of complex legal documents or even draft legal contracts, saving significant time for legal professionals.

Image Generators can be applied in patent research, where they can help visualize patent designs based on descriptions or convert complex patent diagrams into easily comprehensible models. They can even generate images from text-based case descriptions, providing visually illustrative content for legal education and training purposes. This makes knowledge more accessible and comprehensible, aiding in more accurate and effective legal research and documentation.

How to build with Clevis

This is an example application you can build using Clevis, a tool designed for creating AI applications. The given demonstration is for an app known as 'Legal Research and Documentation Assistant', which helps users in conducting legal research as well as crafting appropriate legal documentation.

The initial step is Text Input, where the app asks for the legal topic the user needs guidance with. Once the user declares the legal issue, the ChatGPT step is employed. This utilizes OpenAI's ChatGPT to provide an extensive summary of the requested legal topic, including any related case laws.

Subsequently, the Http Request step is activated. In this stage, recent legal news articles related to the user's topic of interest are fetched from the web. The collected information is then presented to the user in an easy-to-understand format called Display Output.

Lastly, in another Display Output step, the app presents a concise summary of all the research conducted along with a step-by-step guide on how to formulate their legal document. This straightforward sequence ensures accuracy and efficiency in legal research and documentation.

Apps within the similar area can also be built using Clevis, given its flexibility in moulding AI applications aligned to diverse needs.