Just been sued?

You’re right to use AI. Use AI built for your lawsuit.

Start with the complaint. DefendantOS helps you understand who is suing you, what they’re alleging, what they want, what’s missing, and what matters next — without treating your case like another one-off prompt.

PrivateSpecializedCase-aware
Case orientation · Complaint processed
Private case
Your case at a glance What matters first
8 source links
Who sued youFound

Northstar Funding LLC

Plaintiff · commercial banking entity

Complaint p. 1
What they allege2 claims

Breach of guaranty

Plaintiff alleges payment remains due under a personal guaranty.

Complaint ¶¶ 31–44
What’s missingNeeds source

Referenced guaranty exhibit is not in the uploaded complaint.

DefendantOS keeps the gap visible instead of guessing what the document says.

1
Next useful action Upload the guaranty referenced in the complaint.
One document. No legal knowledge required.

Start with the complaint. DefendantOS builds orientation before complexity.

Complaint Case understanding Next action
Why not just use your favorite AI?

Because reading the complaint is only the beginning.

You should use AI. A general AI can be useful for reading a document. DefendantOS is built specifically to understand the lawsuit around that document.

General-purpose AI

Reads the prompt in front of it.

Useful for broad questions and quick document discussion.

1The document is another prompt.
2Case context is not purpose-built around a litigation record.
3Missing exhibits and uncertainties can be easy to overlook.
4Answers are not built around a defendant-side case workflow.
From panic to orientation

Start with one document. Build understanding from there.

DefendantOS is designed to expose complexity progressively — not dump the whole case on you at once.

01

Start with the complaint.

PDF, scanned PDF, or image intake feeds a private preprocessing path for extraction, normalization, and privacy checks.

One document first
02

Turn it into a case view.

DefendantOS organizes who is suing whom, the claims actually pleaded, amounts, relief, important dates, referenced agreements, and gaps.

Structured, source-linked
03

Know what to do next.

The first output is orientation: what happened, what matters now, what we still do not know, and one proportionate next action.

Control before complexity
Case-aware by design

It should know the difference between an allegation and a fact.

Lawsuits are full of assertions, quoted contract terms, procedural history, missing exhibits, and uncertainty. DefendantOS is designed to keep those distinctions visible instead of flattening them into a confident-sounding summary.

A
Allegations stay allegations.“Plaintiff alleges…” is not silently rewritten as established fact.
S
Material points keep their source.Important items can retain document and page provenance.
?
Unknown stays unknown.Missing exhibits and unresolved facts are surfaced instead of filled in.
COMPLAINT OBJECTSource-aware case understanding
PlaintiffNorthstar Funding LLC
Claims2 pleaded
Relief$87,450 + fees
Allegation
Payment due under guaranty ¶¶ 31–44
Quoted term
“Absolute and unconditional…” p. 9
Missing source
Exhibit B referenced but not uploaded Review
Procedural
Summons included; service facts still needed p. 1
Private by architecture

Your lawsuit shouldn’t become somebody else’s AI prompt.

Privacy is not a banner added after the fact. DefendantOS is built around a case-document processing path designed specifically for sensitive litigation material.

Your case documents are processed on DefendantOS-controlled infrastructure and are never sent to a third-party AI provider.
01DefendantOS-controlled inferenceWe run our own AI inference stack rather than sending case documents to third-party model APIs.
02Local document processingExtraction and OCR are designed to occur inside the DefendantOS processing environment.
03Privacy gate before inferencePre-inference privacy checks can stop a document from moving forward when review is required.
04Case isolation & provenanceCase ownership, opaque storage keys, page boundaries, and source provenance are part of the architecture.
Plaintiff allegation
“Defendant failed to make payment when due under the guaranty…”
Rendered as an allegation, not a fact.Complaint ¶42
AllegationPlaintiff says notice was not required.
Document factThe complaint references a written guaranty.
UnknownWhether the referenced exhibit contains the quoted term.
Next sourceUpload the guaranty to resolve the gap.
Grounded in the record

Designed to show its work.

The goal is not a more impressive wall of AI prose. It is a usable case view where important assertions can be tied back to the record, uncertainty is visible, and the system asks for what it still needs.

AI where reasoning helps. Deterministic logic where consistency matters.
Built first for a focused problem

Civil money disputes where the complaint can unlock fast orientation.

DefendantOS is not positioned as an “AI lawyer” for every legal problem. The first product is focused on people and small businesses who have been sued and need to understand the case in front of them.

Breach of contractClaims based on agreements, performance, payment, and alleged default.
Business debtCommercial obligations, promissory notes, and payment disputes.
Personal guarantiesClaims against owners or guarantors tied to business obligations.
Consumer debt / collectionComplaints seeking payment on consumer credit or collection claims.
Early access

When you’re sued, the first job is to get on top of the case.

Join the DefendantOS early-access list. We’re building the first experience around one simple starting point: the complaint.

No document upload required. No spam.

DefendantOS is an AI-powered legal information and case-analysis platform, not a law firm. It does not represent you or create an attorney-client relationship. Important legal decisions should be independently reviewed.

Contact DefendantOS

Questions, beta interest, legal-professional collaboration, or general feedback.

Submitted through the contact form.