Collaboration

AI implementation and agentic-workflow engagements

We define the engagement from the problem, sources, quality, and human accountability.

Verifiable AI System Diagnostic

A review of workflow, data, architecture, evaluation, and risk before the next investment.

Architecture for a source-grounded workflow with roles, tools, citations, and quality gates.

Corpus, retrieval, extraction, citations, and QA for legal research at scale.

One workflow, one user group, and one outcome that can be measured.

Work on the participant’s real problem, ending with a working artifact and quality criteria.