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AI use case: contract analysis agent
This use case presents the implementation of a contract analysis agent capable of automatically analyzing contracts based on an organization's internal templates and standards.
It is intended for legal departments and law firms seeking to accelerate contract review while improving the consistency and reliability of analyses.
For legal departments and law firms
The problem: lengthy and repetitive contract analysis
Before validating a contract, several checks are necessary:
- Are the mandatory clauses present?
- Do the formulations comply with the firm's or company's standards?
- Are there any deviations from the approved models?
- What are the potential points of negotiation?
For a standard 20-page contract:
- Reading and analysis: 45 minutes to 1 hour 30 minutes
- Writing comments: 15 to 30 minutes
- A total of 1 to 2 hours per contract.
A lawyer or attorney who reviews five contracts per week spends five to ten hours on this repetitive task.
The solution: an AI contract analysis agent based on your standards
The solution is based on a contract analysis agent powered by your own internal models and rules:
- Upload the contract to be analyzed (PDF or Word)
- Automatic extraction of key clauses
- Comparison with your reference models
- Generation of a structured summary report:
- Compliant clauses ✅
- Discrepancies identified ⚠
- Missing clauses ❌
- Points to consider during negotiations
Example of contract analysis agent output
Contract analysis: Confidentiality agreement – Client XYZ
Compliant clauses (8/12)
- Definitionof confidential information
- Term of the obligation (3 years – standard)
- Standard exclusions
- Competent court (Paris)
Discrepancies identified (3/12)
- Non-solicitation clause: duration of 24 months
→ Standard firm: 12 months
→ Recommendation: negotiate downward
- Contractual penalties: €50,000
→ Standard firm: ceiling at twice the contract amount
→ Recommendation: reword
- Audit clause: unlimited access to premises
→ Standard practice: 48-hour notice required
→ Recommendation: add a notice requirement
Missing clauses (1/12)
- Document return clause
→ Add Article 8 of template NDA-2024
Compliance score: 67%
How does a contract analysis agent work?
Technology used: Azure AI Foundry, with a Retrieval-Augmented Generation (RAG) approach on your proprietary document database.
Concrete benefits measured after deployment
Analysis time per contract
Before: 45–90 minutes
After: 10–15 minutes
Deviation detection rate
Before: variable (human fatigue)
After: >95%
Consistency among analysts
Before: low
After: high (single reference system)
For a lawyer analyzing 20 contracts per month:
Estimated gain: 15 to 25 hours per month
That's 180 to 300 hours per year saved for tasks with higher added value.
What IT Systems brings to this AI use case
- Azure AI Foundry expertise
Deployment of RAG solutions on proprietary data. - Experience with law firms
Understanding of confidentiality issues and business requirements
(references: Gide, Bredin Prat, Littler). - Data security
. Contracts remain in your Azure tenant.
. No data is sent to third-party services.
Technical requirements for deploying a contract analysis agent
- Azure subscription with AI Foundry
- Database of contract templates in Word or PDF format
- Optional: Existing classification of clauses (speeds up implementation)
Limits and transparency
This agent is a decision-making tool, not a substitute for a lawyer:
- It does not provide legal advice.
- It may lack certain contextual subtleties.
- Human validation remains essential
Its role is to save time on systematic analysis, allowing lawyers to focus on the real issues at stake in the case.
Implementation period
6 to 10 weeks for an initial scope
(example: a contract type such as an NDA).
Possible extensions:
commercial contracts, leases, employment contracts, etc.
What types of contracts do you analyze most often?
Let's work together to define a pilot scope tailored to your volumes and standards.
Define the pilot scope
