wolfgangrush

00Why this page exists

Work that nobody can see may as well not exist

Five months of building, most of it invisible. This page is the whole of it, in one place — what is public and downloadable, and what is private and only described.

The public tier is on this site already, with download links and source. The private tier is named and explained but not linked, because those repositories are closed. That is deliberate: you can see the shape of what exists without me pretending it is available.

Every repository named on this page was checked against the live GitHub listing on 25 August 2026. If a name here does not resolve, that is a defect in this page.

01Public — practice brains

Eight jurisdictions, free, MIT

One edition per jurisdiction, each mapped to that jurisdiction's own conduct rules. Described in full on the practice brains page.

JurisdictionRepository
Indiaai-brain-india
United Kingdomai-brain-uk
European Unionai-brain-eu
United Statesai-brain-usa
Singaporeai-brain-singapore
Hong Kongai-brain-hongkong
Dubai · DIFCai-brain-dubai
Australiaai-brain-australia

02Public — single-purpose tools

Fourteen tools, fifteen repositories

Each does exactly one job and runs on your own machine. Described in full on the tools page.

ToolRepositoryWhat it does
NAKASHAnakashaPulls your own matters out of the daily court board
samanvayasamanvayaOffline privacy conformance across six regimes
Multi-script OCRmulti-script-pdf-ocrOffline OCR for Devanagari and mixed-script PDFs — saved file is searchable
Pseudonymisation gatewaypseudonymisation-gatewayJurisdiction-aware PII middleware for cloud LLMs
DPDP as codedpdp-law-to-codeDPDP Act 2023 sections 5–16 as runnable Python
SC AI regulationssc-ai-regulations-2026-mappingClause-by-clause mapping of the draft AI regulations
Citation managerCitation-ParserSaves and recalls citations you have used
News digesttelegram_news_botCurated legal and current-affairs digest
CHOF toolkitchof-calc · chof-kernelThe human-oversight formula as running software
repofactsrepofactsVerifies the GitHub repos an AI recommended

03Private — the practice tier

Enterprise editions

Most public practice brains have a closed counterpart built for a firm rather than a solo practitioner: an in-tenant server instead of a single laptop, single sign-on, a self-lockdown mode, readiness work against ISO/IEC 27001 and 42001, and the legal pack a procurement team asks for. Seven jurisdictions — Hong Kong is public-only, and has no enterprise counterpart.

JurisdictionRepository
Indiaai-brain-india-enterprise
United Kingdomai-brain-uk-enterprise
European Unionai-brain-eu-enterprise
United Statesai-brain-usa-enterprise
Singaporeai-brain-singapore-enterprise
Dubai · DIFCai-brain-dubai-enterprise
Australiaai-brain-australia-enterprise

In-house and company builds

The same architecture aimed at a company's own legal function rather than a practice. The in-house brain is deliberately not a per-country product: the point of an in-house desk is that a matter arrives without first announcing which jurisdiction it belongs to.

BuildRepositoryFor
GC in-house braingc-inhouse-brainAn in-house or general-counsel team
GC in-house brain — Enterprisegc-inhouse-brain-enterpriseThe in-tenant enterprise deployment
Startup brain — Enterpriseai-startup-brain-enterpriseA company's own legal function
Startup firm — Indiaai-startup-firm-indiaIndia-specific startup build

04Private — Vidhi Likhit

The law-school family

Vidhi Likhit is Indian statute itself, turned into something you can teach and practise from: 11,715 Acts across the Union, the States and the Union Territories, and 90,715 sections, held as one searchable, citable corpus.

The point is what it replaces. A student ordinarily meets a section through a textbook's summary of it, and a practitioner meets it through whichever commentary is on the shelf. Here the text itself is in front of you — every Act, every section, searchable by what it says rather than by what someone wrote about it, and citable straight from the source.

A law school teaching from it sets exercises against real statutory text instead of extracts. Students search the whole corpus, trace a provision through its amendments, and cite the section itself. The institution gets its own seats over one shared corpus rather than every student assembling their own.

Three editions, each a separate repository over that one corpus:

EditionRepositoryFor
Solovidhi-likhit-soloThe individual practitioner or student
Enterprisevidhi-likhit-enterprise-fullA firm
Universityvidhi-likhit-university-editionAn institution teaching from it

05Public — practitioner engines

Five engines, four of them with no language model in the decision path

These are working tools for a practitioner, not teaching material. Each does one narrow thing deterministically — the same facts give the same answer every time, and the answer shows its reasoning. Nothing here asks a model what it thinks.

EngineWhat it does
nyaya-checkCause-of-action checker for section 138 of the Negotiable Instruments Act, with a CPC, BNSS and BSA kernel behind it
pramaanElectronic-evidence integrity for section 63 of the Bharatiya Sakshya Adhiniyam — hash at capture, chain of custody, certificate at the end
pratipakshaReads a document and names which ground, prayer or clause gets attacked, the counter-authority that would be cited against it, and the defensive fix. Read-only, and built so it cannot invent a citation
vidhi-deltaTracks what changed in an Act between two dates
asthirPrecedent-instability radar — flags where a proposition is unsettled across the High Courts, and whether the unsettled line binds your bench

All five are public and MIT licensed. pratipaksha is the one exception to the no-model rule — it is an AI agent by design, and its discipline is that it will not assert a citation it did not verify during the run.

06Private — human-oversight systems

Where the dissertation went next

My LL.M. dissertation at Queen's asked how much human oversight autonomous systems require before the law is satisfied, and proposed a formula for measuring it. Two problems surfaced once I tried to use it: it was a paper instrument, and it assumed an operator who was already paying attention.

chof-calc and chof-kernel — both public, both on this site — answer the first problem: the formula as running software, and an embedded governor that applies it in real time with a signed audit trail.

The second problem needed more than a calculator. A private architecture of eighteen repositories extends the same principle into full decision support — fusing what several sensing layers see into one picture, filtering it by the operator's role and current capacity, and refusing to drop a life-safety signal no matter how loaded that operator is. It is advisory throughout. It never decides; it tells a human what it can see, and how much of it they are actually in a position to hold.

It is not distributed, it is not for sale, and unlike every other tier on this page it is not named here. It is described because the research it came from is public, and because work nobody can see may as well not exist.

07The count

Where it stands

TierRepositoriesStatus
Public — practice brains8free, MIT, linked above
Public — single-purpose tools14free, MIT / Apache-2.0, linked above
Private — enterprise practice brains7closed; named above
Private — in-house and company builds4closed; named above
Private — Vidhi Likhit editions3closed; named above
Public — practitioner engines5free, MIT, linked above
Private — human-oversight architecture18closed; described, not named

Checked against the live repository listing on 25 August 2026. This page describes the practice software; it is not an inventory of every repository I have published.

All of it was built alongside a practice — between boards, after court, and on the Sundays that were free. None of it has been sold. It exists because a solo practitioner has no back office, and building one turned out to be the only way to get one.