For Law Practices

Indiana legal research, grounded in the actual Code.

Ask a question, get an answer built from the full Indiana Code — with a citation on every claim and one-click access to the section text. If the answer isn’t in the law it holds, it says so instead of guessing. Built for solo practitioners, small firms, and tax professionals who need grounded answers without a BigLaw research budget.

01 · What it is

Not an AI that remembers the law. An AI that reads it.

General-purpose chatbots answer legal questions from a statistical memory of the internet — which is how fabricated citations end up in court filings. This is different: the full Indiana Code is indexed, section by section, in a structured statute database. Every question retrieves the relevant sections first; the answer is composed from them and cited back to them. The model never has to remember the law, because it’s reading it.

129,683
Indiana Code sections indexed — the complete Code, all 36 titles
Hybrid
Meaning-based + exact-citation retrieval, fused and statute-aware reranked
Cited
Every answer carries its controlling sections, linked to the source text
02 · How it works

Ask. Answer. Verify.

01 · AskAsk in plain language — or by citation
Type the question the way a client asks it (“how long does a landlord have to return a security deposit?”) or drop in a statute number. Hybrid retrieval pairs meaning-based search with exact citation matching, so “IC 6-1.1” surfaces every time.
02 · AnswerA grounded answer, built from the Code itself
The assistant answers from retrieved statute text — not from the model’s memory of the law — and cites the controlling sections inline. When the answer isn’t in the sources it holds, it says so instead of guessing.
03 · VerifyRead the source in one click
Every citation resolves to the section’s actual text with its Title → Article → Chapter breadcrumb, so verifying an answer takes seconds, not a trip to another database.

The retrieval engineering under the hood — chunking, hybrid fusion, reranking — is documented on the Document Intelligence page →

03 · How we verify answers

Grounded & checked — seven layers between the model and you.

The failure mode attorneys rightly fear is the confident, fabricated citation. Our answer to it isn’t “trust the model” — it’s a pipeline where grounding, citation, and verification are separate, inspectable layers. When everything checks out, you see one green line: “citations verified · quotes verbatim · all binding authority.” When something needs your eyes, the flag is specific and tells you what to do next.

1 · Grounded generation

Answers are composed from retrieved statute text, with instructions to cite the sections relied on and to say “not found in the provided sources” rather than invent an answer.

2 · Click-through citations

Every citation resolves to the section’s real text with its heading breadcrumb — or the opinion’s actual language — inside the same tool. Verification is one click, not another tab.

3 · Machine-checked citations

After the answer is written, every Indiana Code reference and every case reporter citation is checked against the legal database. Anything that doesn’t resolve to a real section or case is flagged for review, not silently passed through.

4 · Quote verification

Quoted passages are matched against the actual source text. Verbatim quotes are marked verbatim; a “quote” that doesn’t appear in the cited source is flagged before you rely on it.

5 · Amendment awareness

Cite a section that has been superseded and the answer says so — with the date. Recently amended sections carry an effective-date note, so you’re never reading last session’s law as current.

6 · Authority weight, labeled

Indiana Supreme Court and published opinions are labeled binding precedent; memorandum decisions are labeled not binding (App. R. 65(D)); opinions vacated by transfer are flagged and never served as precedent (App. R. 58).

7 · Research transparency

Every answer lists the additional sources that were retrieved and reviewed but not cited — and tells you when a top-ranked source went unreferenced, so you can judge completeness yourself. Retrieval quality is scored against an attorney-reviewed benchmark of real Indiana legal questions, re-run on every release.

04 · Built for law practices

The workbench around the research.

Research is one surface of a full working platform — documents, reusable skills, exports, and governance — so the office isn’t stitching together three more subscriptions. See the security model →

Matter files stay yours

Upload briefs, contracts, and client documents alongside the statute corpus — retrieval runs under database-level row security, isolated to your firm. Your documents never train anyone’s model.

A defensible record

An audit log records activity across the workspace, and every AI call is cost-tracked. When someone asks how an answer was produced, there’s a trail.

Repeatable work, one click

Turn recurring work — engagement letters, intake summaries, deadline checklists — into Skills the whole office runs consistently, then export to Word or PDF without leaving the platform.

Your keys, your caps

Bring your own AI provider key with hard daily and monthly spend limits, or use platform defaults. Either way, spend is visible and capped — no surprise bills.

One platform — not five subscriptions.

Statute research is one surface. The same workspace handles the drafting, the recurring work, and the firm-wide standards a modern practice runs on — so you’re not paying for, and switching between, a stack of separate tools.

Draft in conversation

Beyond statute lookups, chat with an assistant that has your uploaded matter files in context — draft the client email, the demand letter, or the memo, then refine it in the same thread.

A firm prompt library

Save your best prompts so every paralegal and associate gets partner-quality output — intake questions, clause explanations, plain-English client summaries — standardized across the office.

Specialized assistants

Spin up a focused assistant for a practice area — landlord–tenant, estate intake, small-business formation — share it with staff, and keep every answer on your firm’s script.

Work that runs on a schedule

Turn recurring tasks into Routines — a weekly deadline digest, a monthly compliance summary — that run automatically and land as a finished document, no one remembering to start them.

Search every file by meaning

Semantic search across everything you’ve uploaded finds the clause, precedent, or prior memo by what it means — not just the words — so past work is always one query away.

A plan to adopt AI safely

A readiness assessment and a 30/60/90-day roadmap help the practice roll AI in deliberately — with the governance and audit trail that keep it defensible from day one.

05 · Scope & roadmap

What it covers today — said plainly.

We’d rather tell you the boundaries than let you discover them. Today the statute corpus is the full Indiana Code. Federal materials are reachable through the GovInfo connector.

Indiana case law is rolling out now: published opinions of the Indiana Supreme Court, Court of Appeals, and Tax Court, ingested from public-domain sources, are joining the same grounded pipeline. Case citations get the same treatment as statutes — every reporter citation in an answer (e.g. 123 N.E.3d 456) is machine-checked against the case database, the verification panel shows whether the case was among the sources actually retrieved for that answer, and Indiana direct-history rules are enforced structurally: a Court of Appeals opinion vacated by transfer (App. R. 58) is flagged and never served as precedent, and only published opinions are treated as binding (App. R. 65). We will never label a case “good law verified” — treatment checks are open-data signals, not a commercial citator, and the product says so on every answer.

On the roadmap

Claim-to-source alignment — each proposition checked against the text of the authority cited for it (in pilot, gated on our accuracy bar).
Open treatment signals — “overruled / questioned / declined to follow” flags from the citation graph, surfaced as review signals.
Point-in-time research — the law as it stood on the date that matters to your case.
Citation graph — see what cites, and is cited by, any section or case.
Deep federal ingestion — IRC and CFR Title 26 in the same grounded corpus.
Published benchmark scores — the attorney-reviewed accuracy scorecard, updated every release.

Roadmap items are in development and not yet generally available. NevTech Catalyst is a research and drafting tool for legal professionals — it is not a lawyer and does not provide legal advice.

For Indiana practices

Research that shows its work.

See a grounded, cited answer to a question from your own practice area — book a 20-minute demo with our team.