What should legal teams be considering when evaluating Generative AI tools?
Whether you’re just considering adopting a generative AI tool or are actively demoing solutions there is a lot to consider.
There are three things we recommend you look for when you evaluate generative AI solutions. Ask yourself and the vendors these questions:
- What are the data security, data retention, and compliance standards? This is table-stakes - any generative AI solution should have deep dedication to data security to match the standard of the legal industry.
- Does the solution fit into your workflows? Make sure that the solution you evaluate has a way to seamlessly integrate into your expecting process. If there are particular ways that you perform key tasks, or specific preferences on style, tone and formatting - find a tool that can align to your needs and solves your highest ROI problems.
- What is the underlying technology and process? There are three kinds of companies in this industry: AI native companies, incumbents adding AI, and upstarts. AI native companies are built from the ground up using AI technology to put it in the hands of legal professionals. Incumbents are embedding AI into existing software stacks which can be limiting. Upstarts are new 1-2 person shops with limited technology stacks. I encourage you to look for AI native companies that have a deeper understanding of the technology, a stronger roadmap, and a more flexible/adaptable product.
Bonus: Ask how the solution establishes trust in the AI. What protections do they have against hallucination, plagiarism and more.
