I just contributed to the Claude for Legal open-source workflow ecosystem with a focus on structured immigration legal workflows.
The idea is simple. Legal AI should not be just a chatbot.
For high-stakes immigration categories like EB-1A, EB-2 NIW, and O-1A, the real value comes from workflow structure, evidence organization, attorney review boundaries, and explainable preparation.
This contribution focuses on how immigration legal workflows should be designed:
• Each skill should carry its own reasoning scaffold.
• Shared guardrails should support the workflow, not rescue it.
• Important claims should be tagged with provenance.
• Draft outputs should remain attorney-reviewable.
And the system should never confuse preparation support with legal advice or guaranteed outcomes.
This is also the philosophy behind Meritocrat.us.
Applicants prepare. Attorneys decide.
AI should help organize the friction, surface the gaps, and make the case picture clearer before legal strategy begins.
Open-source legal workflows can help the legal tech community move from generic prompting toward structured, reviewable, and responsible AI-assisted legal work.
