Overview
Kyndryl Agentic Contract Management System leverages the best of Amazon Bedrock foundation models and Cloudera's AI platform to transform the enterprise contract management lifecycle. By delivering end-to-end automation from intelligent drafting and automated redlining to electronic execution, the solution accelerates contract velocity, minimizes compliance risks, and reduces operational overhead.
How it works on AWS
Users authenticate via enterprise-grade identity management powered by Amazon Cognito, supporting seamless corporate SSO. The React frontend and FastAPI backend run on AWS App Runner for automated scaling and zero infrastructure management overhead. An intuitive five-step wizard guides contract generation (action selection, metadata entry, governing law, signatory definitions, and core clause configuration).
Amazon Bedrock agents orchestrate the workflow: a Draft Agent generates optimized text, while a Risk Agent iteratively reviews clauses against compliance benchmarks. Finalized documents and metadata are stored securely in Amazon S3 and Amazon Aurora PostgreSQL. For portfolio intelligence, Amazon Bedrock agents ingest bulk document uploads to deliver structured, multi-contract summaries instantly.
Intelligent contract operations with Cloudera
Contracts are seamlessly sent to Cloudera Agent Studio running on Cloudera Machine Learning (CML). A specialized Redlining Agent leverages native tools to review contract clauses against corporate legal playbooks, exporting standard track-changes formats (additions in green, removals in red strikethrough) directly to Amazon S3.
For context-rich discovery, Cloudera RAG Studio utilizes Amazon Titan for vector embeddings and Claude Sonnet for inference, establishing per-session isolated knowledge bases. This allows teams to query contracts using natural language and receive grounded answers complete with precise source citations.
Key AWS services
- Compute & Hosting: AWS App Runner, Amazon ECR.
- Generative AI & NLP: Amazon Bedrock (Claude Sonnet models), Amazon Titan.
- Storage & Database: Amazon S3, Amazon Aurora PostgreSQL.
- Security & Identity: Amazon Cognito (with Enterprise SSO support).
Key Cloudera services
- Agent Studio: Orchestrates CML-based automated redlining and S3 document modifications.
- RAG Studio: Powers per-session isolated knowledge bases for conversational document Q&A.
- CML Workbench: Provides managed compute for model serving, Bedrock proxying, and auto-scaling infrastructure.
What buyers get
- Accelerated contract processing: Generates tailored legal agreements in minutes via automated, iterative draft-and-review AI agent workflows.
- Automated legal redlining: Replaces manual legal markups with AI-driven compliance checks completed in seconds using standard track-changes formatting.
- Instant contract intelligence: Enables conversational, natural language Q&A across isolated agreement databases with verified source citations.
- Bulk document summarization: Extracts key obligations, milestones, and risk factors from multiple agreements simultaneously.
- Integrated electronic signatures: Features a native signing workflow with drag-and-drop fields and secure sharing links, alongside enterprise e-sign integration options.
- Enterprise-grade compliance: Ensures data isolation, SSL-encrypted database connections, and pre-signed S3 URLs for secure lifecycle security.
Typical flow
- User authenticates via enterprise SSO through Amazon Cognito;
- Dashboard displays contract portfolio analytics from Amazon Aurora PostgreSQL;
- Five-step wizard captures contract requirements and clause preferences;
- Amazon Bedrock agents draft and review text with iterative quality loops;
- Documents persist in Amazon S3 with secure pre-signed URLs and version tracking;
- Cloudera Agent Studio automates redlining against corporate legal playbooks;
- Cloudera RAG Studio provides natural language Q&A with precise text citations;
- Bulk uploads trigger Bedrock agents to generate instant structured summaries;
- Built-in electronic signature workflow manages secure execution and tracking;
- Signed PDFs and complete audit logs are permanently stored in Amazon S3.
Deployment & fit
Designed for legal departments, corporate counsel, compliance teams, procurement, and contract management offices. Applicable across financial services, healthcare, technology, manufacturing, and professional services where contract velocity and compliance are critical.
**Expected outcomes: **
Contract drafting time reduced from days to minutes, legal redlining turnaround cut from hours to seconds, instant situational awareness via bulk summarization, and 100% auditable contract execution trails.
Highlights
- End-to-end AI contract lifecycle automation on AWS: - A five-step wizard drafts custom agreements via Amazon Bedrock agents with iterative review loops. - Amazon Bedrock powers bulk document summarization to extract terms instantly. - Amazon S3 securely manages the entire document lifecycle (uploads, drafts, redlines, and execution records). - AWS App Runner provides seamless, auto-scaling frontend and backend container hosting with zero infrastructure management overhead.
- AI-powered redlining and document intelligence with Cloudera: - Cloudera Agent Studio automates legal redlining against corporate playbooks, returning track-changed DOCX files to Amazon S3. - Cloudera RAG Studio utilizes Amazon Titan embeddings for isolated, context-aware natural language Q&A with direct source citations. - Cloudera CML Workbench supplies managed compute for model serving, while Amazon Aurora PostgreSQL tracks metadata, workflows, and complete audit states.
- Enterprise security, compliance, and e-signatures: - Amazon Cognito enables seamless enterprise SSO authentication. - Data is protected via SSL-encrypted database connections and pre-signed Amazon S3 URLs. - A fully integrated electronic signature system features drag-and-drop placement, customizable signature styles, and secure signing links for external parties. - Secure deployment pipelines leverage Amazon ECR and AWS App Runner for isolated workloads.
Details
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