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BP-014Risk & Compliance

AI Contract Analyzer

Extract terms, flag risky clauses, and compare against your playbook in seconds.

Project range
$6,000–14,000
AWS running cost
$50–260/mo
Time to deploy
3–5 weeks
Best-fit industries
Law firms, Real estate

Executive summary

A tool that reads contracts the way an experienced reviewer would: it extracts parties, dates, obligations, and financial terms, then compares each clause against your negotiation playbook and flags deviations, missing protections, and unusual language — with citations. Reviewers focus their judgment on what actually matters instead of reading every line.

Business problem

Manual contract review is slow, expensive, and uneven. Key dates and obligations get missed, risky clauses slip through under deadline pressure, and there is no consistent record of how a given contract compares to the company's standard positions.

Architecture

AWS services

Amazon API Gateway

Networking
  • Upload and review endpoint
  • Rate limiting

AWS Lambda

Compute
  • Orchestrate extraction, comparison, and flagging
  • Apply the negotiation playbook

Amazon S3

Storage
  • Encrypted contract storage
  • Versioning and retention

Amazon Textract

AI / ML
  • Extract text, tables, and clause structure from PDFs

Amazon Bedrock

AI / ML
  • Classify clauses and identify risky or missing terms
  • Summarize deviations in plain language

Amazon DynamoDB

Database
  • Extracted terms, obligations, and deviation records
  • Review status

Amazon EventBridge

Messaging
  • Schedule renewal and obligation reminders

CLM / calendar adapters

Integration
  • Sync to contract lifecycle tools and calendars

Amazon CloudWatch

Observability
  • Logs, metrics, and cost alarms

Data flow

  1. 1

    A contract is uploaded, stored encrypted in S3, and parsed by Textract into structured clauses.

  2. 2

    Bedrock classifies clauses and, against your playbook rules, flags deviations, risky terms, and missing protections.

  3. 3

    Extracted terms, obligations, and flags are stored in DynamoDB with citations to the source text.

  4. 4

    Key dates feed EventBridge, which schedules renewal and obligation reminders into calendars or a CLM.

  5. 5

    The reviewer receives a marked-up summary and works only the exceptions.

Security considerations

  • Contracts encrypted at rest and in transit; access restricted and logged.
  • Every flag cites the exact clause — reviewers verify, the tool never auto-signs.
  • Least-privilege IAM; CLM and calendar credentials in Secrets Manager.
  • Retention and deletion policies aligned to matter and client requirements.

Cost considerations

  • Textract (per page) and Bedrock (per contract) are the main variable costs.
  • S3 and DynamoDB are inexpensive at rest with lifecycle tiering.
  • Batch processing amortizes cost across large document sets.

Scalability

  • Serverless throughout; handles bulk uploads and due-diligence surges.
  • New contract types and playbooks are configuration, not code.
  • Multi-language and jurisdiction support extend via prompt and rule packs.

Deployment roadmap

Phase 1 — Capture the playbook

Week 1
  • Document standard positions and risk thresholds
  • Provision AWS foundation and secure storage

Phase 2 — Build & integrate

Weeks 2–4
  • Build extraction, comparison, and flagging
  • Wire CLM, calendar, and notification adapters

Phase 3 — Validate

Week 5
  • Benchmark against attorney-reviewed contracts
  • Tune flags and summaries for signal over noise

Future enhancements

  • Redline suggestions drafted against the playbook.
  • Obligation tracking dashboard across the active portfolio.
  • Cross-contract analytics to spot systemic risk.
  • Integration with e-signature and approval workflows.