Mitsui & Co. manages large international projects and contracts, including overseas bidding documents that can run to hundreds of pages.The company uses generative AI on AWS to help employees review these documents more efficiently and with fewer errors.The approach is aimed at improving productivity and freeing staff for higher-value work.
Use case type
Contract analysis
Reviews contracts to extract terms, identify risks, and compare clauses against standards. It helps legal and business teams speed review and reduce errors in agreement handling.
14
14
7
10 mo
Adoption over time
Documented cases per month
By case publish month · completed months only
12 cases documented across 37 months (Jun 23 – Jun 26), peaking at 2 in March 2025.
1 earlier case before Jun 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
10 shown from 14 use cases
Amazon FinTech uses Amazon Bedrock & SageMaker to accelerate regulatory insights and contract review
Amazon Finance Technology (Amazon FinTech) built generative AI solutions for finance and compliance workflows.World Wide Watch tracks VAT regulatory updates, summarizes policy changes, and highlights impacts and risks.CRISP reviews contracts by storing documents in Amazon S3, indexing with Amazon OpenSearch Service, and analyzing chunks with Claude 3 Sonnet on Amazon Bedrock.
Major Law Firms Streamline Contract Review and Analysis with AI Automation
Law firms and legal departments globally face the challenge of efficiently processing and analyzing vast numbers of legal contracts—a historically manual, error-prone, and resource-intensive process. IBM Consulting's Global Intelligent Workflows on Azure leverages advanced Azure AI services, IBM Content Intelligence, PowerAutomate, and Power Platform to automate and digitize legal contract analysis. The platform is designed for rapid prototyping, scaling, and global deployment, and integrates seamlessly with local enterprise systems. Human-in-the-loop controls help maintain regulatory compliance and oversight for compliance-critical workflows. A reference architecture underpins each deployment, with prebuilt flows and domain-specific connectors ensuring flexibility across industries. The solution has demonstrated substantial operational benefits, including reducing manual effort and errors while providing robust digitization and content understanding. A key reported benefit includes a dramatic reduction in operational costs and significant improvements in processing speed and accuracy for legal contract analysis, including deployments in Belgium.
Service Sector Customer Streamlines Tender Review with Automated AI Platform
A confidential service sector customer faced operational bottlenecks due to the manual review of unstructured tender documents received in numerous file formats. Dataciders developed WILMA, a custom intelligent platform built on Azure AI Foundry to fully automate tender intake, content analysis, and extraction of key information for rapid business evaluation. Users can upload documents in batches, with relevant content quickly surfaced, structured, and presented through a user-friendly web interface. The system features advanced AI-driven analytics, filtered search, prioritization support, and context-aware Q&A via embedded chat. As a result, the customer significantly increased both the speed and quality of tender handling, enabling faster responses and boosting competitiveness in acquiring new business. The automated workflow reduced manual labor and decision cycle times while improving overall document management efficiency.The transformation demonstrates how Azure AI Foundry can be leveraged to solve real-world process automation challenges in service industries.
KPMG pilots Agentspace and Vertex AI Agent Builder for AI-assisted contract review and other client services
KPMG is expanding its AI collaboration with Google Cloud to deploy Agentspace and Vertex AI Agent Builder for client-facing and internal use cases.The article highlights AI-assisted contract review, legal research, contract lifecycle management, and internal employee productivity improvements.KPMG is also developing a commercial lending assistant and multi-agent solutions for finance, procurement, risk, and compliance workflows, using Google Cloud AI capabilities.
Leading organizations scale AI-powered operations with Azure Cosmos DB
At Azure Cosmos DB Conf 2025, industry leaders like DocuSign, H&R Block, and QVC showcased real AI-powered applications built on Azure Cosmos DB. DocuSign applies Cosmos DB's AI vector search for scalable contract management, serving over 1.6 million customers and a billion signers. H&R Block modernizes tax preparation with Cosmos DB-based analytics, improving performance and customer experience. QVC built a solution for real-time centralized inventory tracking across channels. The conference included discussions on predictive maintenance, enterprise AI agent orchestration, and integrations with Microsoft Fabric for scalable AI workflows, as well as demonstrating innovations like DiskANN for high-performance vector search. These examples underline the scalability, security, and cost-effectiveness of Cosmos DB for real-world, agentic, and retrieval-augmented generation (RAG) AI applications.
Legal Firms Streamline Document Review with AI Automation
Legal services firms in Australia are leveraging Microsoft Copilot integrated with Microsoft 365 applications (Word, Excel, Outlook) to revolutionize contract analysis, document review, and case preparation processes. Traditionally, legal teams laboriously combed through contracts, policies, and legal documents—a process marked by significant manual effort, risk of oversight, and inefficient collaboration. With Copilot, legal professionals now enjoy end-to-end automation: document upload and instant processing, AI-powered clause identification and tagging, comparative analysis with industry standards, and rapid risk assessment. In addition, Copilot supports comprehensive legal research, summarization of complex case law, and streamlined case management (timelines, filings, and deadlines). Real-time collaboration and secure cloud-based sharing enhance productivity and compliance, freeing up legal staff to focus on strategy and client advisory. Integration with existing Microsoft authentication practices bolsters security and confidentiality. The adoption of Copilot is shaping new best practices in the legal industry for data-driven, AI-augmented services.
Skanska streamlines contract and project knowledge management with AI-powered assistant
Skanska, a leading construction and development company based in Sweden, piloted an AI-powered chatbot called 'Sidekick' to enhance project and contract knowledge management. This initiative leverages generative AI, including Microsoft Copilot, allowing employees to retrieve critical information from unstructured data such as contracts, RFIs, and reports using natural language queries. The AI assistant integrates with Microsoft 365 platforms like Teams and SharePoint, enabling project teams and legal professionals to efficiently summarize, search, and review contracts, generate compliance checklists, and identify risks directly within existing work environments. Early results from this deployment show significant productivity gains, enhanced compliance, and improved safety adherence. The pilot aligns with broader trends in construction, where AI-driven knowledge work automation is delivering substantial value and increasing competitive advantage.
AI Agents Accelerate Trading Decisions and Risk Management in Germany's Energy Sector
Microsoft 365 Copilot Studio Agents, deployed in the energy trading sector, support traders in Germany by automating and enhancing processes related to market insight collection, risk assessment, contract drafting, and internal communications. Traders use Copilot Studio Agents to gather reliable commodity trading data from trusted external sources, summarize market prices and trends, and generate market sentiment analyses. Risk managers conduct detailed credit risk assessments by integrating data from regulatory databases and company reports, while Copilot streamlines settlement contract draft creation and meeting recap documentation in Microsoft Teams. The result is improved decision making, compliance, and operational efficiency, contributing to faster trading and safer contracts in a highly regulated and competitive environment. The deployment showcases how intelligent agents can drive productivity and compliance for energy trading organizations.
Clifford Chance leverages Azure OpenAI to transform legal operations
Clifford Chance, a global leader in the legal sector, integrates Microsoft's Azure AI services to enhance its legal workflows. Leveraging Azure OpenAI capabilities, the firm accelerates e-discovery, enhances document review using natural language processing, and tackles complex legal contracts efficiently. These technologies offer substantial benefits, including risk management, compliance assurance, and improved communication through AI-driven translation. Clifford Chance stands out as a pioneer in the adoption of AI-driven legal solutions, reshaping operational workflows, advancing smarter legal processes, and showcasing responsible AI practices in line with Microsoft's ethical guidelines.
Common questions
Contract analysis at a glance
- How many contract analysis use cases are documented?
- The AI Use Case Hub documents 14 real contract analysis deployments across 7 industries, with 14 detailed company examples you can browse.
- Which industries adopt contract analysis the most?
- Contract analysis is most common in Legal (43%), Professional Services (21%) and Real Estate (7%).
- Which countries lead in contract analysis?
- United States leads documented contract analysis deployments, followed by United Kingdom and Germany.
- What technologies are used for contract analysis?
- Teams most often build contract analysis with Azure OpenAI, Azure AI and Copilot.
- What AI capabilities power contract analysis?
- Across the documented deployments, the most common capability patterns are Agent (43%), RAG (29%) and Copilot (29%).
- What results do companies report from contract analysis?
- Across the 14 deployments reporting outcomes, companies most often cite risk & compliance (71%), speed & agility (64%) and new product / capability (57%). Where impact is quantified, the strongest evidence is in time & speed: a median −40% across 3 reported metrics.