Business legal teams are like a guardian angel for a modern company, as they can provide evidence of innocence when run properly. However, AI is being used to enhance and scale legal departments all over the world, and legal teams can be helped or hindered depending on the circumstances. For example, AI should be checked as part of the company’s governance policy, and how AI tools use, store, and convey sensitive data must be evaluated at multiple steps.
Use Reliable Tools and Software
There are many AI tools in just about every sector today, and the choice you have can be overwhelming. Checking online comparison sites related to tech can provide a good overview of the best and worst AI tools for your niche or specific business, and it is best to pay a premium or use a proven, reliable platform for your needs. A trusted eDiscovery platform like Logikcull is a perfect example of software that legal departments inside a business should be using today.
Don’t neglect Governance and Policy
Internal governance procedures and policies help keep a modern business managing any relevant risk. Metrics and KPIs are commonly used to keep the train on the track, so to speak. However, these policies must be updated to reflect the usage of AI. For example, it will help to establish a clear document that defines authorized AI tools, when AI can be used, and prohibited actions such as entering personal data into LLMs that are available to the public.
Business Legal Teams Should be Trained
A recent survey by GoTo found that 87% of workers feel they aren’t being properly trained to use AI tools. Of course, when it comes to legal teams, this means there could be severe problems with eDiscovery, and further necessary tasks related to a case. A modern development program for employees must include AI training if any AI tools are to be used, and in-house certification will prove that employees are capable of using any such platforms.
Prioritize Data Privacy and Security
Data and privacy are, of course, major concerns within modern business. Many public-facing AI tools have been revealed to be accessible by outside parties, and data can be used to train specific LLMs. When using AI tools, it is vital that they are sandboxed or private to avoid data leaks. However, privacy and data security go further than this. For example, only necessary and anonymized data should be used, and AI vendors should be assessed according to ISO27001.
Develop an Implementation Roadmap
Rolling out an AI system can be a challenge, given the complexities of specific models and employees’ understanding of correct usage. So to begin, anyone using AI platforms for legal cases must be trained accordingly. From there, a business can use AI for legal cases by targeting the most time-consuming tasks, such as contract reviews, to assess capabilities. However, it is vital that a business also installs legal AI tools that are trained on legal sources.
Summary
Using reliable AI tools and software is one of the most critical best practices for business legal teams today. Of course, any workers using AI tools should also be trained for competence, and it is often advised that a business should begin using AI for small tasks following rollout.
