Three kinds of legal AI. One went to law school.
Ask the same question again. Watch which answer moves.
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ILLUSTRATIVE · A DEMONSTRATION OF BEHAVIOUR, NOT A BENCHMARK OF NAMED PRODUCTS
Legal AI needs
mental muscle.
A useful reading goes beyond a summary.
Five moves connect the language to a decision.
- 01STRUCTURE
Read the parts.
Identify the obligation, the party, the trigger, the exception and the consequence. Each performs a different job.
- 02CHANGE
Compare the meaning.
Ask what a revision changes in effect. A small edit to an exception can shift an allocation that still looks familiar.
- 03CONTEXT
Trace the dependencies.
Read the cap with its exclusions, the obligation with its remedy, and the defined term wherever it changes the answer.
- 04CONSEQUENCE
Take the client’s side.
Consider the represented party, commercial purpose and approved playbook. Make missing facts and assumptions visible.
- 05JUDGEMENT
Propose. Explain. Decide.
Develop a reasoned firm, balanced or fallback position in the lawyer’s Word workflow. Counsel approves, revises or escalates it.
A clearer route from “what does it say?” to “what should we do?”
Structure, not chat.
Legantology resolves every clause to an atom with known bonds. The model reasons over structure, not over a wall of text.
LegantologyContext, engineered.
The clause asked about, the clauses tied to it, the rule that applies. Nothing else. No Context Tax on every question.
The Context TaxMental muscle, not a TL;DR.
A summary shortens the contract and your understanding of it. We tell you what the contract does to you.
See it answerHundreds of agents. Every verdict with evidence.
Each clause gets its own agents. Every flag carries the clause, the bond it breaks and an evidence id you can audit.
Agentic EngineeringIt ends in Word, under your name.
Tracked changes on. Reasons in the margin. Three answers: firm, middle, fallback. You decide.
GC+The difference, row by row.
What counsel asks before trusting anything.
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