RISK-01Manual
Complex OCR Challenges
Tables, charts, and scanned documents resist traditional extraction methods, leading to incomplete data capture.
AI agents that extract key terms from contracts, summarize risks across filings, compare entities and financials, and generate comprehensive diligence reports, in hours, not weeks.
Legal and finance teams are bottlenecked by the sheer volume of contracts, filings, and financial documents.
Tables, charts, and scanned documents resist traditional extraction methods, leading to incomplete data capture.
Critical agreements scattered across thousands of documents in legacy data room systems.
Legal and finance teams manually parse every contract, slowing deal timelines to weeks or months.
Human review misses subtle clauses and cross-cutting obligations that impact deal value or timeline.
assistents deploys a team of AI agents, each optimized for a specific diligence task.
Gathers public market data, comparable transactions, and industry benchmarks to inform valuation.
Extracts key terms, obligations, and conditions from each agreement with full citation trails.
Identifies and ranks material risks, contingent liabilities, and trigger events across all contracts.
Benchmarks financial metrics, debt levels, and operational metrics against peers and market.
Organizes findings into audit-ready reports with supporting evidence and source document links.
Every contract yields dozens of machine-readable data points, organized and cross-referenced.
Structured output cross-referenced citation trail on every field
Let assistents handle the due diligence heavy lifting.