First of its kind · 100% Offline
Hand it the entire matter. Get the strategy by lunch.
Private litigation intelligence. Owned, not subscribed.
Introducing Highcourt
The work of an entire team, on a single machine in your office.
The Illusion of “In-House” “Proprietary.” “Purpose-built for legal.” Those words don’t survive scrutiny when the product is just a prompt and a wrapper around a general-purpose LLM anyone can rent. Even the “private” versions still send the matter out. Rented models don’t know your positions, have no record to search, and can’t verify a citation.
The offline tools getting attention fix privacy but not capability. Each does one narrow job.
Beyond Prompts HIGHCOURT is a system, not a model behind prompts. Years of legal training, the authorities, the databases, the retrieval, the verification, and the code that binds them. Models are only a third of it.
Highcourt carries the firm’s entire working day—record, drafting, review, redlines, data room, conflicts, deadlines, redactions, agents under attorney approval—on a machine that never touches the internet.
Ten to fifteen hours compressed. Damages and recovery calculated from the documents themselves—traceable to the page they came from.
And the one thing none of them attempt: the full pre-trial workup. The work of five to ten people, reading every page, building the record, researching the law, valuing the case, drafting the work product, and checking every citation.
Federal, state, and case law live on the same machine, so every citation is verified against the real authority. Nothing leaves the building. Nothing is invented.
This isn’t a better version of what the others sell.
It’s the thing they can’t build.
An entire practice • 100% Offline • Hardware you own
It cannot cite a case that does not exist.
Every other tool lets the AI write the citation, then checks afterwards whether the case was real. HIGHCOURT never lets it write one. The law on your machine is searched first, and the citation is copied off the page the passage came from.
Legal Ontology
The law itself, mapped — and checked before anything relies on it.
Good law is reported per point, not per case: Smith v. Maryland is still good for pen registers and no use for CSLI. Every answer is dated. Whether an authority binds depends on the court you are in, and it says which.
HC Critic
A second reader that doesn’t cry wolf.
HC Critic is the first fully offline, fine-tuned supervision model built specifically to judge legal drafting and legal-agent actions.
Put one flawed passage next to one sound passage and it picks out the flawed one 96 times in 100. The stock model manages only 73.
93% of HC Critic’s answers are correct vs 83% for the stock model — all running 100% offline.
Fewer false flags. Higher trust in automated review. Fully private.
HIGHCOURT vs everyone else.
Not one chatbot behind an API key.
“Read it once and you can tell which side of the line your client’s file is on.”
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“I handed HIGHCOURT a complete matter file. It returned the same findings I had reached and the same outcome I expected. I then gave it three matters from an award-winning firm I am a member of. In every case the findings matched the firm’s own team and the outcome prediction matched the actual result.”
Full Architectural Matrix
Comprehensive list. The same line, drawn out.
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A folder of case files in. A finished matter file out.
Intake, analysis, drafting, an independent review pass, citation checking and typesetting — start to finish, with nothing connected.
Bound and typeset. Cover, contents, running heads, privilege banner. It arrives as a document, not a transcript.
Twelve sections in one run.
Three things make it different.
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Two of them work on it.
The Clerk
While it works
Tells you what is happening, in words — taking the file in, reading it, sorting it, filing what it found. Never a spinner and a guess: it only reports stages the work has actually reached.
The Adjudicator
When it is done
Reads back what was written and tests it — every citation, every quotation, every claim. A model asked to check itself agrees with itself. This does not.
What it checks, what it does when it cannot, and how your firm’s own verifications are kept — in Go deeper, below.
The workup is what it does once a matter. This is the rest of the week.
Everything the cloud tools sell as their entire product is in here too — as a subset.
The work of an entire team, on a single machine.
Not a prompt and a wrapper. A completely offline system carrying the firm's entire working day. Fine-tuned for your practice areas.
The Adjudicator
Reads back what was written and tests it — every citation, quotation, and claim. A model asked to check itself agrees with itself. This does not.
The Clerk
Tells you what is happening in words. Never a spinner and a guess. It only reports stages the work has actually reached, and blocking items lead.
Legal Ontology
9.98M court decisions and 77.5M links between cases held on the machine. It cannot cite a case that does not exist. Citations are verified, never invented.
HC Critic (MKC2)
A second reader that doesn’t cry wolf. Picks the flawed passage out of a flawed-and-sound pair 96 times in 100. Fine-tuned by Privilege AI.
100% Offline & Owned
Bought once, owned for good. Runs entirely on the firm’s hardware with no telemetry, no model fetch, and no internet required. AES-256 at rest.
The Full Workup
A folder of case files in. A finished matter file out. 10–15 minutes later, twelve drafted sections come back, bounded and typeset.
Every exhibit. Read in full.
Footage, photographs and the documents submitted with them. HIGHCOURT reads the evidence on your machine, logs what it finds, and ties each observation back to the exhibit it came from.
Rider is in the curbside lane, directly ahead of the stopped taxis.
Linked to frame 096Everything it does. One platform, offline.
The full capability set
Every capability · on the firm's hardware
People who have worked inside the work.
Built the entire system from the ground up: the desktop software, the AI pipeline, the privilege controls, and the audit system.
15+ years building secure software and AI systems that have to work offline and in regulated environments. Former NASA robotics team. Specializes in making large language models run reliably with no internet connection. Owns the full technical stack.
Practicing attorney (DC Bar) and CPA with 25+ years in law, finance, and asset management.
Former SVP roles managing large portfolios, including a $2B real-estate portfolio. JD from University of Pennsylvania Law School. Brings the partner-level view of what a firm actually needs and what ethics and privilege actually require. Advises on legal positioning, compliance, and relationships with larger firms.
One person built it — the software, the model pipeline, the privilege controls, the audit trail. A practicing attorney holds it to what a firm actually needs and what privilege actually requires. The code has a single author; the standard it answers to has a second.
Go deeper.
Twenty-three chapters — open the one you want.
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Private briefings — now booking
See what it produces.
A private briefing for your partners — the real screens and the actual work product, section by section, so you can judge the output for yourself. No sales deck.
Every install is set up direct by the team that built it — configured to your practice areas, with pricing quoted against your seat count on the call.
Actual output from a synthetic real-estate purchase matter — 8 of 15 pages, unedited. Full live files only in private briefing.