A senior AI engineer who knows legal work takes on your AI backlog.
Your AI backlog is growing and your engineering team is full. One of ours joins your team for a defined period, takes the queue, and leaves the code and the know-how with your engineers.
The AI work waits because your engineers are already full.
Your engineers keep the organisation running: billing, the DMS, security, the matter management nobody may break. Put the AI backlog on top and both slow down.
Meanwhile the backlog of good ideas grows, and the people who had them stop asking.
How it works
Takes the live queue
Internal tools, integrations with the DMS and matter management, prompt libraries.
Ships inside your stack
On a backlog you set, in steps your engineers can review.
Pairs with your engineers
So your engineers can run the next integration without us.
Runs the operations around AI use
Access, cost and who reviews what the model wrote, so a tool stays in use after launch.
What you get
The code
On your systems, documented as it was built.
The patterns
How we build an integration, where prompts live, and what we check before a change ships.
Engineers who learned it
Yours, paired with our engineer for as long as the engagement runs.
Work that landed
The tools people were waiting for, in use on their own work.
Frequently asked questions
Can't our team build this themselves?
Yes, and when they have the hours, they should. Where they do not, one of ours takes the AI queue while yours stay on the core systems. Either way the code ends up in your repository.
Why not a contractor?
A good contractor does a good job, and you may already have one. What we add is the legal context. We know what a matter file is and what may not leave it, and we bring that to whoever writes the code.
Why not the platform vendor's own engineers?
For what lives inside the platform, yes. The queue is usually the rest: the internal tool, the DMS integration the vendor does not ship, the prompt library that needs an owner.
What happens when the engagement ends?
The code, the documentation and the patterns are already in your repository, and your engineers built them with us. If one item has grown into a product of its own, a Custom Application gives it its own scope.
More in this track
Tell us what is in the queue.
Send us what is waiting, who is waiting for it, and what your team is already carrying. If one item needs a Discovery before anyone builds it, that comes first.