VisiBot Legal ChatBot
VisiRule Legal Chatbot
Combining Curated Expertise with AI
VisiRule allows you to combine curated best practice knowledge in the form of decision trees with state-of-the-art generative AI to produce a smart chatbot which can handle complex legal questions in a controlled manner as well as simple questions. In this way, you get the best of both worlds.
Before implementing a legal chatbot in your law firm, it's important to understand the benefits it can provide. A VisiRule-powered chatbot can address various issues:
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provide quick answers to common questions using an FAQ
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help people navigate to the right information using guided questions
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match various permutations of input text with established queries and prepared answers
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handle complex but well understood legal questions.using decision tree logic
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generate legal documents using document automation
All the above free up your staff to focus on more complex legal issues and improve client service.
Identify the Tasks Your Chatbot Will Perform
How to Start Building your Legal Chatbot
The first step in implementing a legal chatbot is to identify the questions you want it to answer. This often depends on the needs of your firm and your clients. Some common tasks that a legal chatbot can perform include helping schedule appointments, answering frequently asked questions, and providing basic legal advice. It's important to prioritize the tasks that will provide the most value to you and your clients and help improve the efficiency of your law firm. Once you have identified the tasks, you can begin to design and develop your legal chatbot.
Designing your Chatbot's Conversation Flow
Converational Flow
One of the first tasks is to design your chatbot's conversation flow. This involves mapping out the different paths and responses your chatbot will provide based on the user's input.
You can start by identifying the most common questions or concerns your clients have, and create a conditional flowchart that outlines the different responses your chatbot will provide based on those inputs. You can have multiple decision tree software components handle different lines of enquiry.
In addition, when your chatbot doesn't understand the user's input, it can use its integration with GPT to ask AI for help.
Test and Launch Your Chatbot
Once you have designed your chatbot's conversation flow, it's important to thoroughly test it before launching it to your clients. This will help you identify any issues or errors that need to be addressed before your chatbot goes live. Test your chatbot with a variety of inputs and scenarios to ensure that it can handle different types of user interactions. Once you are confident that your chatbot is working properly, it's time to launch it to your clients. Make sure to promote your chatbot to your clients and provide clear instructions on how to use it. Monitor its performance and make adjustments as needed to ensure that it continues to provide a positive user experience.
Review the Performance
You can see what kind of queries your chatbot is being asked, and monitor which parts of your VisiRule charts or FAQ need updating to provide a better service.
