
LawGeex
Automate contract review and redlining with AI that follows your company's unique legal playbook.

The next generation of contract intelligence: Generative AI for enterprise-grade contract lifecycle management.

Icertis ExploreAI represents the pinnacle of Generative AI integration within the Icertis Contract Intelligence (ICI) platform. Built upon the proprietary Icertis Data Lake—which contains trillions of data points from millions of contracts—ExploreAI utilizes Large Language Models (LLMs) via Microsoft Azure OpenAI to provide a conversational interface for contract management. By 2026, the tool has evolved from a simple chatbot to a proactive 'Contract Copilot' that manages the entire lifecycle: from risk-aware drafting and automated negotiation to post-execution obligation tracking. Technically, it leverages a sophisticated Retrieval-Augmented Generation (RAG) architecture tailored for legal semantics, ensuring that AI responses are grounded strictly in the user's specific contract corpus and corporate playbooks. This architecture minimizes hallucinations while maximizing the precision of clause extraction and risk assessment. Market-positioned as an elite enterprise solution, ExploreAI integrates deeply with SAP, Salesforce, and Microsoft Dynamics 365, transforming contracts from static documents into dynamic strategic assets that drive revenue, ensure compliance, and mitigate supply chain vulnerabilities in a volatile global economy.
Icertis ExploreAI represents the pinnacle of Generative AI integration within the Icertis Contract Intelligence (ICI) platform.
Explore all tools that specialize in extract contractual obligations. This domain focus ensures Icertis ExploreAI delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze contract data. This domain focus ensures Icertis ExploreAI delivers optimized results for this specific requirement.
Explore all tools that specialize in automate contract workflows. This domain focus ensures Icertis ExploreAI delivers optimized results for this specific requirement.
Explore all tools that specialize in risk identification. This domain focus ensures Icertis ExploreAI delivers optimized results for this specific requirement.
Explore all tools that specialize in extract key insights from contracts using ai. This domain focus ensures Icertis ExploreAI delivers optimized results for this specific requirement.
Uses a vectorized database of contract semantics to provide responses grounded in corporate history rather than general public data.
Extracts complex contractual attributes (e.g., indemnity limits, termination triggers) without requiring pre-labeled training data.
Generates real-time redline suggestions based on a company’s preferred legal playbooks during active negotiations.
Enables querying across a global contract repository in over 40 languages using cross-lingual embeddings.
Aggregates contract data to visualize concentration risk across vendors, geographies, or clause types.
Automatically identifies 'must-do' tasks within contracts and links them to external workflow engines.
Allows enterprises to fine-tune the AI behavior based on specific industry jargon (e.g., Pharma, Aerospace).
Initial consultation to define contract corpus scope and user hierarchy.
Provisioning of Icertis Contract Intelligence (ICI) instance on Azure.
Secure ingestion of legacy contracts into the Icertis Data Lake with OCR processing.
Configuration of Enterprise Playbooks and standard clause libraries.
Integration with Single Sign-On (SSO) and existing IAM protocols.
Mapping of metadata fields for automated extraction and indexing.
Testing of RAG performance against specific legal and procurement domains.
Admin training on 'Guardrail' settings and AI policy management.
Pilot rollout to a select group of legal and sales power users.
Enterprise-wide deployment with continuous model fine-tuning.
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Verified feedback from other users.
"Users praise the tool for its deep enterprise integration and ability to handle massive contract volumes, though some note a steep learning curve for advanced prompt engineering."
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