Test your contracts like software.
Ontolus turns a contract into a computable object. One you can query today, test tomorrow, and return to in the future.
The workbench: the clause, the question asked of the contract object, and the matter around it.
Making legal AI accurate, predictable, and practical for transactional law.
01
The legal compiler
Ontolus allows humans and AI agents to compile a contract into an object you can query and test. Parties, obligations, conditions and exceptions stay tied to the words they came from, and what the text leaves open is left open. The compiler decides what the object contains, so a question asked twice comes back the same.
02
Context engineering
The compiler runs inside a matter workspace, so a contract is never read alone. Each object is linked to the related documents, correspondence, deal history and the firm's know-how. What a model may read from all of that is a recorded decision, and every model call is logged.
Extract the contract logic
The logic is taken from the clauses themselves, not interpreted by an LLM again every time. What is unresolved or ambiguous is surfaced for the user lawyer to check and opine on.
Consistent querying
The answer you receive from the contract object is drawn from the agreement's own logic, and does not move when the question is asked again.
Reasoned redlining and hypotheticals
Put fact patterns to a draft and see what is triggered, owed, permitted or carved out. Compare two drafts of the same agreement and understand the differences in meaning, not just which words changed.
Discovery across transaction documents
Test contracts linked in a transaction, or assembled in a due diligence pack. Unearth and test inconsistencies which break deals across document suites.
From contracts you read to contracts you run.
Ontolus is in early access. Request an account today.
Ontolus— Test your contracts like software
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