EXP-003
AI Legal Services Platform
Testing whether a client-facing legal request can move end-to-end through a structured AI workflow to a reviewed report.
Question
Can a client-facing legal request move through a structured AI workflow — matter intake, document handling, AI-assisted analysis, attorney review — to a delivered report, without collapsing back into an unstructured chat interaction?
Objective
Test the Laboratory's Platform end-to-end: request → matter → documents → AI workflow → attorney review → report, as described on the Workflows page.
Background
This experiment sits closest to the Platform itself — it is the Laboratory's attempt to test the full request-to-report pipeline, rather than a single component of it.
Hypothesis
End-to-end structure should make the final report more traceable to its inputs than a single-turn AI answer would be, at the cost of more required attorney touchpoints along the way.
System
See the Workflows page's Example Workflows section for the current conceptual pipeline this experiment is designed around.
Method
TBD — the experiment's method will be documented once it has been run.
Results
TBD — no results have been published yet.
Evaluation
TBD — evaluation criteria will be published alongside results.
Failure Modes
TBD — failure modes will be documented as they are observed.
Human Review
TBD.
Lessons
TBD — lessons will be published once there is something to report.
Next Experiment
TBD.
Related
Related Field Notes will be linked here as they're published.