A team of AI legal interns
Deploy multiple interns in parallel to review contracts, extract clauses, and synthesize legal bundles at scale.
One task, multiple interns,
one answer.
Parallel processing splits a large job across several interns that work at the same time on separate slices.
Faster throughput what took an afternoon takes the length of a coffee, with the same per-document care.
Real-time progress watch each intern's step as it happens, and step in the moment something needs you.
Consistent quality every intern applies the same rubric and citation format, so the merged result reads as one.
Delegate to interns an associate plans, hands out the work to interns, then merges and cites what comes back.
Common questions
When does the system use a team of interns?
When a job splits cleanly. A hundred contracts to review, a bundle to chronologise, or a research question with several independent limbs. The work is divided into slices and worked on at the same time, rather than one document after another.
How much faster is it, really?
It turns a job whose length was the sum of its parts into one whose length is roughly its slowest part. A review that ran through an afternoon in sequence finishes in the time it takes to read one of its documents carefully.
Does splitting the work across interns make it less careful?
No. Every intern applies the same rubric and the same citation format, and each document gets the same attention it would have got alone. The merged result reads as one piece of work rather than as several stitched together.
Can I watch what the interns are doing?
Yes. Each worker's current step is on screen as it happens, so you can see which document is being read and where things stand. If one is heading the wrong way, you can step in while it is still running rather than after the fact.
What if two interns reach different conclusions?
They are reconciled before the result reaches you, and where a genuine inconsistency exists across documents the output says so rather than silently picking one. A disagreement between two contracts is usually the finding, not a problem.
Do I have to set this up?
No. The associate decides when a job is worth splitting and how to slice it. You describe the outcome you want, as with any other task.
Does a parallel run cost more?
It uses your AI allowance in proportion to the work done, not to the number of workers. Running six interns for ten minutes is much the same as running one for an hour.
