Uwais Iqbal • 2022-11-22
When looking to develop a Legal AI solution, what’s the bigger picture at play? The Why of Legal AI captures the broader context and use case.
As with anything in innovation the user should be at the center of the universe. When developing AI solutions, it’s easy to fall into the black hole of gaming abstract metrics, whizz ahead into premature solutionising and forget about the focal point which is the user.
The Why of Legal AI helps to keep us in the orbit of the user by articulating why we are venturing on this voyage in the first place. One way this can be done is through a user story. A user story is a way of capturing how a solution can provide value to the user. It’s about using plain everyday language to capture, articulate and provide context on who the user is, what the user is trying to do and why.
A user story is made up of three parts:
The following is a template for a user story:
As a [persona], I want to [need], so that [goal]
Here’s an example of a user story:
As an M&A lawyer, I want to extract information from a collection of contracts so I know what risks they contain
The Why of Legal AI builds on a user story by providing additional context based on the legal use case and problem vertical. Within legal, there are different contexts and problem verticals:
The template for the Why of Legal AI looks like this:
As a [persona] in a [context] context, I want to [need], so that [goal].
For the previous example, the Why of Legal AI would look like this:
As an M&A lawyer in a due diligence context, I want to extract information from a collection of contracts so I know what risks they contain.
The Why of Legal AI captures the wider use case and bigger picture within which AI should be used. Notice that this has nothing to do with technology or AI. The Why of Legal AI is just an exercise in carefully and precisely articulating who the user is, what they are trying to do, why they are trying to do it as well as the context they are trying to do it in.
Once The Why of Legal AI is ready, then the next step is to look at the How of Legal AI and the What of Legal AI.