Start with a legal research question
LawEngine turns the question toward source records first, then returns linked authorities and source-backed boundaries for inspection.
LawEngine organizes source records, linked authorities, citation checks, and document review into a legal research workflow that shows the source record and the edge of what was checked.
Source records first. Boundaries visible.
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Legal AI should not ask lawyers to trust a generated answer floating above the law. LawEngine starts with the record: primary sources, citations, verified excerpts, deterministic checks where covered, and workflows that make the evidence visible before a draft moves forward.
Method
Build from source records up, not from model prose down. The source record is the operating surface.
LawEngine turns the question toward source records first, then returns linked authorities and source-backed boundaries for inspection.
Every serious answer should make the underlying authority and boundary visible. LawEngine is built to keep the record close to the work.
Citation checks route through deterministic verification where source text is supported, so legal language is checked against legal language.
Today
Use the product where it is already concrete: legal research, citation verification, and document-level review.
Ask a legal research question and inspect the statutes, rules, cases, and included federal authority behind the answer.
Open Search ->Paste a short passage with a citation and see whether supported quoted law matches the cited source, appears elsewhere, or needs review.
Verify a citation ->Upload a brief, motion, or memo to extract citation claims and route them through Document Assessment.
Document Assessment ->Proof
Task-specific proof, not a blanket accuracy claim. LawEngine's deterministic lane completed the open 500-row citation-grounding task; a general-model baseline was materially lower on the same grading.
LawEngine deterministic citation-grounding lane
500 / 500
Open citation-grounding task
Deterministic verification on the public 500-row benchmark. No AI model sits in the deterministic primary-law verification path.
General-model baseline
72%
Same task, same grading
Rounded public baseline on the same 500-row pack with the same four-label contract. It is a citation-grounding task, not a broad legal-reasoning claim.
Coverage
LawEngine expands only when the source records, verification behavior, and product language are ready to support the claim.
Statutes, constitutional text, court rules, rules of evidence, cases, administrative code lookups, and scoped local law e.g. down to the Chicago Municipal Code level.
Federal sources included: U.S. Code, CFR/eCFR, the Federal Rules, and the U.S. Constitution.
New York is live.
Company
LawEngine is founder-led and built around grounded truth, source records, and disciplined source evidence. The company is actively growing and looking for people who think legal technology should be engineered from source records.