01
Governance layer
Bailey
A governance layer for AI agents in professional work. Every action gated, receipted, and verifiable. Built on Paperclip, Apache 2.0, first proven on the business side of a legal practice.
Builds
Open the repo.
Watch the demo.
Then build yours.
Each build has a repository or a live tool, a write-up when one exists, and a slot for a short demo video. These are independent projects, not client work, and they show the approach rather than promise results.
02
Chrome extension
Legal Ops Maestro
Operations tracking that lives where your team already works. A Chrome extension, so there is nothing to install on a server and nothing leaves the browser. Maps the work to the CLOC Core 12 and turns it into a shareable picture of demonstrated skill.
03
Editorial sparring partner
Aleph
A sparring partner for what I publish. Everything I read, save, and think about goes in. What comes out is a shortlist of what is worth writing, with the sources attached. The writing is still mine.
Demo video coming
Private repository. Write-up coming.
04
Starter kits
Harness templates
Three ways to start a build with an AI agent: a one-page CLAUDE.md plus build spec, a five-file harness for a coding agent, and a four-document harness for a chat-based builder. MIT licensed.
Demo video coming
05
Training data
Trazomo Synthetic Data
A shared synthetic universe of matters, parties, and documents so every exemplar repo and lab runs on realistic data that is safe to publish.
Demo video coming
06
Teaching repo
Claude Code for legal
Claude Code features, taught through legal practice. Each feature paired with a task a lawyer or legal ops lead recognizes.
Demo video coming
07
Archive, ten repos
Legal AI exemplars
Redline explainer, data room QC, matter intake triage, conflicts screen, pleadings matrix, citation ledger, NDA playbook review, contract tabulator, and more. Small, complete, and archived so the pattern stays readable.
Demo video coming
08
Learning platform
Trazomo
Applied AI learning for professionals who do the work. Build useful things on real work, direct AI tools, and leave with visible evidence of capability. Free tier, paid paths, an AI tutor.
Demo video coming
Client transformation work is confidential. Archived repos stay public so the pattern remains readable. Labs and exemplars run on synthetic or explicitly approved material.