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(as of Sep 07, 2026 20:52:04 UTC – Details)
AI-Driven Agreement Intelligence examines how agreements can evolve from static legal documents into intelligent, interactive systems that support search, reasoning, summarization, risk analysis and business decision-making.
The book explains why conventional contract repositories and CLM systems, while useful for storage and workflow, fall short when users need to answer complex questions across large collections of agreements.
Modern AI techniques such as natural language processing, semantic search, retrieval-augmented generation, knowledge graphs, large language models and dialogue systems are presented as the foundations for systems that can understand agreement language, retrieve relevant evidence and generate grounded, explainable answers.
The opening chapters introduce the core problem: why agreements are difficult for machines to interpret, why keyword search is insufficient, and why agreement intelligence requires more than document storage. The text defines AI-Driven Agreement Intelligence (AIgI) as an intelligence layer that works alongside existing CLM systems, extracting meaning from clauses, obligations, entities, timelines, and business context.
The middle chapters develop the technical foundations of agreement intelligence, including document ingestion, OCR, layout-aware understanding, clause extraction, metadata enrichment, embeddings, semantic retrieval, vector search, reranking and retrieval-augmented generation.
Later chapters move into advanced reasoning through knowledge graphs, graph-based retrieval, clause comparison, multi-document summarization, obligation tracking and conversational interfaces. The book also addresses production concerns such as hallucination control, citation quality, evaluation, access control, tenant isolation, auditability, privacy and responsible AI governance.
The final chapters bring these ideas together into end-to-end architectures for agreement-aware dialogue systems and practical enterprise use cases such as risk review, renewal analysis, policy compliance, negotiation support, executive dashboards, redlining assistance and portfolio-level contract intelligence.
A distinctive feature is the recurring Acme Corp. case study, which follows a multinational organization as it transforms scattered contract repositories into a structured, searchable and conversational agreement intelligence layer.
TABLE OF CONTENTS:
1. The Agreement Labyrinth: Beyond Static Documents
2. The Business Imperative for Agreement Intelligence
3. Deconstructing Agreements: Computational Building Blocks of Agreement Intelligence
4. From Document Pile to Knowledge Graph
5. Activating the Data: Core Applications of AIgI
6. Visualizing Intelligence: Dashboards and Reports
7. The Conversational Frontier: From Clicks to Dialogue
8. Architectures for Agreement-Aware Dialogue Systems
9. The Advanced Conversational Use Cases
10. Beyond Analysis: AI as a Co-Pilot for Action
11. Bringing AIgI to Life: Strategy and Implementation
12. The Future of Intelligent Agreements
References
Useful for: Designed for computer science and information technology students, AI and machine-learning practitioners, software engineers, product leaders, legal technology professionals, CLM and contract operations teams, and technical readers interested in enterprise AI systems for intelligent document and agreement management.
Publisher : S Chand and Company Ltd.
Publication date : 16 July 2026
Language : English
Print length : 208 pages
ISBN-10 : 937359589X
ISBN-13 : 978-9373595894
Reading age : 15 years and up
Item Weight : 356 g
Dimensions : 25 x 20.2 x 1.2 cm
Country of Origin : India
Packer : S Chand and Company Ltd., 40/2A Site IV, Sahibabad Industrial Area, Ghaziabad, U.P – 201010 Contact 18001031926, Email id: info@schandpublishing.com
Generic Name : Book
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