In part 1 of this series, I explored the landscape of AI technology within legal; where we are now, why we are here, and where we are going next.
In this article, I want to focus on bringing the theoretical to life by exploring some common use cases within in-house legal teams to help you to think about how this can become a reality.
As with any other tech implementation or transformation project, the key to success is in identifying a genuine problem to solve and not just introducing AI technology for the sake of it. It’s also critical to ensure that you are using the right technology. There are lots of great tools out there but they are typically designed with specific use cases in mind. You wouldn’t use a power screwdriver to drill a hole and it’s no different when deploying technology.
The lawyer in me is screaming out to remind you that the following list is by no means exhaustive, it’s just intended to give you some ideas of where others are successfully using AI to solve their legal process challenges.
In summary, the key to successfully building, configuring and implementing solutions to solve any of the above use cases is:
- Diagnosing and articulating the problem to solve – what is the desired outcome?
- Analysing how that problem can be solved – how can the data deliver the required outcome?
- Exploring which technologies are designed for your use case or can be configured to deliver the required outcome.
- Engaging legal engineers who understand both the legal process and the technology (and its limitations).
- Defining a Minimum Viable Product for an initial release, and then iterating.
In the third and final part of this series, I’ll explore and dispel some of the common myths associated with AI in legal. If you’d like to explore these topics further, please get in touch on LinkedIn.
Jonny is an expert in delivering and leading legal innovation and automation projects, having previously led the innovation function at global law firm DWF. Jonny leads our data services practice and has a track record of helping clients to enable insight-driven decision making from their data.
Jonny has supported FTSE 100 companies with the implementation of AI technologies and has supported one of the largest global legal technology companies with the development of AI models for its market-leading platform. A lawyer by background, Jonny leads a team of highly skilled legal engineers operating in multiple jurisdictions.