Document AI and Contract Intelligence

Version 1.0.19 introduces AI-powered contract analysis across the platform's Contract Lifecycle Management module. The Document AI engine automatically processes contracts at upload and surfaces structured intelligence — reducing manual review time and lowering the risk of missed obligations or compliance gaps.

Overview

Document AI applies large-scale language understanding to your contracts to deliver five core capabilities:

Capability	Description
Risk Assessment	Scores contracts for risk and highlights problematic clauses
Key Term Extraction	Identifies and indexes commercially significant terms
Compliance Monitoring	Continuously checks contracts against policy and regulatory rules
Critical Date Detection	Tracks expiry, renewal, notice, and milestone dates
Obligation & Issue Tracking	Surfaces party obligations and flags anomalous or missing provisions

Risk Assessment

Each contract receives an automated risk score based on the content of its clauses. The AI flags:

Unfavourable liability or indemnity terms
Unusual or non-standard provisions
Missing protective clauses (e.g. limitation of liability, IP ownership)
Jurisdiction or governing-law concerns

Risk findings are presented in a structured report attached to the contract record, allowing legal and commercial teams to prioritise their review queue.

Key Term Extraction

The extraction engine reads the full contract text and automatically identifies and categorises key terms, including:

Payment terms — amounts, schedules, late-payment penalties
Renewal and expiry conditions — auto-renewal clauses, opt-out windows
SLAs and performance obligations — uptime commitments, response times
Liability caps — maximum exposure amounts
Confidentiality and IP — ownership, permitted use, non-disclosure scope
Governing law and jurisdiction

Extracted terms are stored as structured metadata on the contract record and are fully searchable.

Compliance Monitoring

Compliance monitoring runs continuously against your active contract portfolio. It evaluates contracts against:

Internal policy templates (e.g. mandatory data processing clauses, approved jurisdiction list)
Configurable regulatory rule sets

When a contract drifts out of compliance — or when a new policy rule is published — affected contracts are automatically flagged and owners are notified.

Critical Date Detection

Document AI extracts and registers the following date types into the platform's calendar and alert system:

Contract expiry / end date
Renewal notice deadlines — the latest date by which a party must act to prevent auto-renewal or trigger termination
Milestone and delivery dates
Review and audit dates
Payment due dates

Dates are visible on the contract record timeline and trigger configurable advance notifications.

Obligation Tracking

The AI identifies explicit obligations assigned to each contracting party and creates structured obligation records. These include:

Deliverable commitments with associated deadlines
Reporting and notification duties
Consent and approval requirements

Obligation records can be assigned to internal owners and tracked through to completion.

Issue Detection

The issue-detection layer proactively surfaces potential problems before they become disputes:

Conflicting clauses — internally inconsistent provisions within the same document
Missing standard provisions — absence of clauses that your policy templates require
Anomalous terms — terms that deviate significantly from your organisation's standard positions

Detected issues are listed in the contract's AI Analysis panel with a severity rating and a plain-language explanation.

Availability

Document AI and Contract Intelligence is available as part of the Contract Lifecycle Management module from v1.0.19 onwards. Analysis runs automatically when a contract is uploaded or when an existing contract record is updated with a new document version. Re-analysis can also be triggered manually from the contract record.