The term “contract analysis with AI” refers to applying artificial intelligence (including natural language processing, machine learning, and large language models) to automatically detect, structure, and assess contractual content. The goals are to identify risks and obligations faster, standardize reviews, support negotiations, and ensure compliance reliably.
Document ingestion & OCR: Import of scanned PDFs, emails, and attachments with text and layout recognition.
Contract type & metadata classification: Auto-detection of contract types (e.g., NDA, MSA, DPA) and extraction of parties, terms, amounts, currencies, and jurisdictions.
Clause & entity extraction: Identification of liability, warranties, SLAs, IP rights, data protection, termination, force majeure, etc.
Deviation analysis: Comparison of inbound clauses against playbooks, clause libraries, and internal policies.
Risk scoring & prioritization: Score-based assessment of critical topics (e.g., liability caps, change of control, indemnities).
Obligation & timeline management: Extraction of obligations, milestones, renewal and termination dates with reminders.
Version comparison & redlining: Semantic diffing and automatic highlighting of material changes.
Semantic search & Q&A: Ask questions across the contract corpus (“Which agreements have auto-renewal > 12 months?”).
Multilingual analysis: Support for multiple languages with terminology harmonization.
Compliance checks: Automated validation against regulations (e.g., GDPR/UK GDPR), industry standards, and internal policies.
Negotiation assistance: Suggestions for alternative clauses, auto-completion of standard language, playbook-driven guidance.
Batch review & reporting: Bulk processing of large portfolios, dashboards for risks, cycle times, and KPIs.
Integrations & APIs: Connectors to CLM, DMS/ECM, ERP, CRM, and e-signature systems.
Security & governance: Role-based access, encryption, tenant isolation, PII detection/redaction.
Quality assurance: Confidence scores, explainability of results, human-in-the-loop approvals, and audit trails.
Procurement: Automated review of supplier agreements for SLA, liability, and price-adjustment clauses with risk scoring and recommended actions.
Sales & Legal: Comparing inbound MSAs against the company playbook; AI proposes acceptable alternative wordings.
Data protection: Assessing DPAs for mandatory GDPR content, sub-processor provisions, and data-transfer clauses.
Real estate/facility: Extracting lease start, term, indexation, and operating costs; automated renewal and termination reminders.
M&A due diligence: Portfolio-wide analysis of thousands of agreements to find change-of-control, termination, and most-favored-nation clauses.
Finance: Deriving payment terms, discounts, and price-adjustment clauses for accruals, cash-flow planning, or revenue recognition.
Compliance/IT: Detecting information-security requirements (e.g., ISO 27001 references) and checking against internal policies.
Operations: A Q&A assistant answers ad-hoc questions across the contract repository and produces exportable hit lists.