Generative Pre-Trained Transformers (GPT) — like ChatGPT for example — employ Artificial Intelligence (AI) networks that use machine learning applications and OpenAI to create text, code, or other content based on user input. These platforms have become an integral part of business operations for many companies, and have become a valuable asset for law firms.
Law firms have started to use this AI-powered application for a variety of tasks that include drafting important legal documents, analyzing large amounts of legal data and documents, managing the lifecycle of client contracts, and improving office efficiency. Law firms that are interested in implementing a GPT may find that standard applications do not meet your standards or perform as needed — which has made custom GPTs a viable alternative.
With the value provided by a GPT platform, many law firms are interested in learning how to make a custom GPT that will meet the needs of their law firm — and Civille may be able to help answer your questions with this quick breakdown.
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5 Steps to Create a Custom GPT for Your Law Firm
Are you tired of using a pre-established GPT platform for day-to-day law firm tasks? Do stock GPT platforms not meet your specific needs? Law firms that have answered yes to these questions may find that a custom GPT is the answer, and may not know where to start.
Law firms can develop a custom GPT via the OpenAI platform with a ChatGPT Plus or Enterprise subscription. This gives law firms access to the Create a GPT function that helps simplify a process that can be very complicated and complex. With a few simple steps and guidelines, you could be well on your way to building a custom GPT for your law firm that checks all the boxes for your legal team.
Here is a better look at the steps you need to take to develop a custom GPT:
1. Define the Use Case for Your Custom GPT
Why do you want or need a custom GPT for your law firm? This is an important question to ask when you make the decision to create a custom GPT and will dictate many of the next steps used to create your custom platform. Law firms may want to target repetitive daily tasks that do not involve highly-sensitive client data for your custom GPT.
Here is a snapshot of a few best use cases for your custom GPT:
- Drafting and Reviewing Legal Documents
- Summarizing Case Depositions and Case Files
- In-Depth Legal Research with a Focus on Internal Data
- Automating Client Intake Forms and FAQs
- Simulating Case Scenarios and Providing Litigation Support
- Creating Content Marketing Material
2. Configure the Settings for Your Custom GPT
After you have defined the best use for your law firm’s custom GPT, the next step is to configure the settings for your platform. This process involves creating instructions for the GPT that define its role, using digital documents to create a knowledge base, and defining its capabilities with set parameters — and this can be done by using the RICE Framework as a template:
- Role: Define the role and persona of your custom GPT application.
- Example: A senior paralegal that specializes in civil law in Wisconsin.
- Instructions: Create step-by-step workflows that define the process of how your custom GPT will identify a solution.
- Context: Identify the jurisdiction and practice area for your custom GPT.
- Expectations: Define a tone and a format for how the platform will answer queries.
3. Upload Knowledge Files and Documents to Your Custom GPT
With this step of the process, you will provide your custom GPT with the files, data, and documents it needs to be able to accomplish its given task. This involves uploading key documents that outline Standard Operating Procedures (SOPs), established style guides, foundational legal data and documents, and other relevant documents. Do not include client files or discovery documents.
4. Create Privacy and Safety Measures for Your Custom GPT
Privacy and security are critical to maintain confidentiality for legal clients, which makes it important to establish privacy and safety measures for your custom GPT. Best practices for implementing privacy and safety measures for a GPT include redacting private client data from downloaded case records and documents, establishing access levels for internal use, verifying AI output for accuracy, and creating privacy settings to protect your model.
5. Test and Refine Your Custom GPT
The final step in the process is to test and refine your custom GPT model. This involves situational testing, where you provide the model with real-world legal scenarios to see how it performs based on the parameters you have set for your model. If your GPT model does not meet your expectations, you may need to better define instructions when you upload knowledge files for your model.
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Artificial Intelligence (AI) is a valuable tool that can simplify day-to-day tasks in a wide range of scenarios — and the ability to create custom GPT models allows law firms to improve how they operate and serve clients. Law firms that want to improve how they support and serve clients may want to know how to create a custom GPT for their firm — and we hope that this step-by-step overview created by Civille helps answer your questions.
Contact Civille today to learn more about our custom law firm websites and digital marketing services!
