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Ask the contracts

Every answer names the page it came from. Click a yellow mark to read the clause.

5 agreements in the book
Cites the page

On the page

Ask what the agreement actually says.

Type a question the way you would ask counsel at the table. The answer will mark the clause in yellow so you can read the original words, not a paraphrase of the stack.

5 agreements ready 42 passages indexed
Start with a real risk
Answers cite the page. This is not legal advice — a lawyer still reviews before you sign. 0 / 2000

General

Questions in this room only search the contracts you attached.

Waiting 0
In review 0
Needs attention 0
Signed off 0
0 contracts selected

Compare two agreements

Pick a base copy and a marked-up copy. Red is what left the page. Blue is what was added.

Deal Track:
Agreements in the book 0 Every file currently on the desk
Named value in the book $0 Fees and caps the clauses mention
Average clause risk 0% How far terms sit from your playbook
Playbook match 100% Share of terms that match house standard

Bring a contract onto the desk

PDF, Word, or text. We keep the pages, then you can ask, redline, and pin clauses.

Drop the file here

or (50 MB max)

PDF DOCX TXT

Agreements on the desk

Open one to ask, or send it to Inbox if it still needs a person.

Contract Name Type Pages Chunks Status Uploaded Actions
No agreements on the desk yet. Drop a file above.
Questions asked
0
↑ 100% verified Last 30 days
Time to an answer
0 ms
How long the desk took
How sure the answer is
0.0%
Weighted from the cited pages
Stayed on the page
0.0%
Share of claims found in the contract

Questions over time

Volume of asks, and how long they took

Did the answer stay on the page?

Distribution of grounding scores

What people keep asking

Repeated questions usually mean a clause the book has not settled.

Query Inquiries
No queries recorded yet.
MSA SOW NDA Amendments Parties / Entities
0 Contracts

Termnova — Enterprise AI Contract Intelligence, Knowledge Graph & Clause Diffing

Termnova is an advanced, production-grade legal intelligence platform. Built for corporate legal teams, law firms, procurement managers, and contract administrators to analyze agreements, uncover risks, detect clause modifications, and map multi-contract relationships.

Core Capabilities & Features

  • Contract Studio & Hybrid RAG: Natural language query answering with reciprocal rank fusion (BM25 + Dense Vectors) and verbatim page-level source citations.
  • Document Map & Contract Knowledge Graph: AI-powered entity extraction mapping parent Master Services Agreements (MSAs), Statements of Work (SOWs), Amendments, counterparty entities, and governing jurisdictions with D3.js force layouts.
  • Clause Redline & Side-by-Side Diff: Semantic difference highlighting detecting modifications in financial terms, liability caps, indemnification clauses, and termination windows.
  • Document Vault & Vector Repository: Secure multi-format ingestion supporting PDF, DOCX, TXT, and Markdown files with pgvector partition isolation.
  • Enterprise Guardrails & Safety: Real-time PII redaction, API secret scrubbing, and zero AI model training retention guarantee.

Frequently Asked Questions

What is Termnova?

Termnova is an open enterprise AI contract intelligence platform engineered with LangGraph multi-step reasoning agents, hybrid RAG, and PostgreSQL graph topology.

How does Termnova protect confidential legal documents?

All contract data is processed with zero-retention policies. No customer contract data is ever used to train third-party foundation models. Real-time guardrails sanitize sensitive PII and API keys.

What contract types are supported?

Termnova analyzes MSAs, SOWs, NDAs, Amendments, Addenda, Commercial Leases, Vendor Agreements, and Employment Contracts.