Industries · Legal
Privilege stays in the building.
Firms and in-house teams handle documents they cannot send to consumer AI tools, at volumes that make manual review the bottleneck. Ontolith models review, extract, and classify inside your perimeter, tuned to your precedent base and your playbook.
The value
What the numbers look like.
10–50×
Lower cost per document than frontier-API review
100%
Of privileged material stays inside your infrastructure
80%+
Of first-pass clause extraction automated within pilot scope
Weeks
To a model tuned on your precedent base and playbook
Representative targets from pilot scoping. Every evaluation sandbox defines success criteria against your own baseline before anything is deployed.
Where we start
The workflows we convert first.
The wedge is always one high-volume workflow, converted to an owned model with success criteria agreed up front.
Contract review & clause extraction
First-pass review against your playbook: clause identification, deviation flagging, and structured summaries with every finding linked to its source text.
Due diligence triage
Classifying and prioritizing data-room documents at deal speed, so associates read the documents that matter, not the folder tree.
eDiscovery classification
Responsiveness and privilege classification with confidence scores and consistent, defensible criteria, inside your review environment.
Matter intake & conflicts
Structured intake from engagement letters and correspondence, checked against your ontology of clients, parties, and matters.
What you get
Beyond the pilot.
Defensibility
Consistent criteria, confidence scores, and signed model lineage give you an AI-assisted process you can explain to a court or a client.
Your playbook, encoded
The ontology carries your clause taxonomy, risk positions, and escalation rules, so review reflects how your firm practices, not a generic standard.
Leverage without leakage
The economics of AI review without sending a single privileged document to a third-party API.
Evaluation sandbox
Start with the review work nobody wants.
A sandbox converts one document-heavy matter type and measures extraction quality against your own senior-reviewed baseline.