Sonian AI
Sonian provides an AI contract and compliance review platform that checks contracts, policies, and regulatory documents against a company's internal playbooks, surfacing findings with citations linked to the exact source passage. The platform converts documents into structured data, extracting clauses, dates, parties, and risks, and supports side-by-side comparison of multiple files to identify differences and inconsistencies. It is EU-hosted, does not use customer documents to train AI models, and is currently in private beta for legal, compliance, and insurance teams.
- Legal Technology
- Regulatory & Compliance Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Legal, compliance, and insurance teams manually review contracts and regulatory documents against their internal playbooks, a process that is time-consuming and error-prone. Findings are often buried in lengthy documents, making it difficult to quickly identify deviations from required standards and extract structured data across multiple files.
Solution
Sonian provides an AI contract and compliance review platform that checks contracts, policies, and business documents against a company's established requirements, surfacing important findings with traceable citations. Users upload files, specify what the system should check, and receive structured findings with references back to the original documents. The platform converts documents into structured data by extracting clauses, dates, parties, risks, and other key information. It also supports side-by-side comparison of multiple files to identify differences, missing information, and inconsistencies, all presented in a consistent, structured format rather than buried in lengthy AI responses.
Target Audience
Primary users are legal, compliance, and insurance teams that need to review contracts and regulatory documents against internal requirements with verifiable, cited findings.
Features
- Every finding links directly back to the exact passage in the source document for verification
- Structured output format presents results consistently instead of long-form AI responses
- Document review against user-defined playbooks to surface important deviations and findings
- Extraction of clauses, dates, parties, risks, and other key information from documents
- Multi-document comparison to identify differences, missing information, and inconsistencies across files
- EU-hosted infrastructure for data residency compliance; documents are not used to train AI models