How Logista secures its contract analysis with an AI assistant that detects risky clauses

KEY FIGURES

0 risky clauses overlooked‍

100% of every contract reviewed‍

5 risk categories flagged automatically

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THE CHALLENGE

At Logista, the analysis of supplier and customer contracts (services, purchasing, transport, general terms of sale, general terms of purchase) relied on manual reading, document by document. A tedious, time-consuming process exposed to the risk of oversight: a tacit renewal clause that goes unnoticed, an excessive penalty that isn’t identified, an unbalanced liability accepted without thorough review.

The result: a significant workload for the legal and operational teams, a level of risk coverage that depended on each reader’s availability and expertise, and potential blind spots across a large-scale contract portfolio. A risk well known to Pan Distribution, where a missed option date can cost an entire project.

Before the project began, several key challenges were identified:

• Reducing contract analysis time without sacrificing rigour
• Systematically detecting risky clauses, whatever the length of the document
• Adapting alert criteria to Logista’s legal and business realities
• Producing a usable report that enables fast decision-making

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THE SOLUTION

Qolaig deployed an AI assistant that automatically reads any contract submitted as a PDF or Word file, identifies sensitive clauses based on customised legal and business criteria, and delivers a ready-to-use summary analysis. It doesn’t replace the lawyer, but gives them a structured, reliable starting point.

01. Automatic reading of any type of contract

The tool ingests contracts in their native format (PDF, Word), whatever their length or structure. Supplier contracts, general terms of sale, general terms of purchase, transport agreements: every document is analysed in full, with no selective reading or shortcuts.

02. Detection of risky clauses based on customised criteria

The AI identifies sensitive clauses using a set of criteria defined with Logista’s teams: excessive penalties, unbalanced liabilities, tacit renewals, critical deadlines, warranty limitations. The criteria can be adjusted to fit the specific contractual realities of each type of agreement.

03. Summary analysis report with alerts

For each analysis, the tool generates a structured report listing the sensitive points detected, where they appear in the document and the associated level of risk. Teams know immediately which points to focus on and what to negotiate first.

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RESULTS

• Complete contract analysis in a fraction of the time a manual read takes
• Zero risky clauses overlooked due to fatigue or lack of time
• Detection criteria customised to Logista’s contract types
• A structured alert report generated automatically, ready for the teams to use

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RETURN ON INVESTMENT

A misread clause can cost far more than the time a rigorous analysis would have taken. By automating the detection of contractual risks, Logista reduces its legal exposure, speeds up its review cycles and frees its teams from tedious, low-value reading. Legal expertise remains human, but it is now applied where it’s truly needed: interpretation, negotiation, decision-making. A conviction shared by Dana Avocats: technology should serve the law, not the other way around.

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FAQ

How much does an AI workshop with Qolaig cost?

The AI workshop costs €5,000 excl. VAT for one day on site. 50% of this amount is deducted from development fees if the project moves forward.

How long does it take to deploy a solution?

The first use cases are usually live 2 to 6 weeks after the workshop.

Is our data kept confidential?

Yes. It is never used to train third-party models and stays in your environment, with hosting suited to your GDPR requirements.

What did Qolaig deploy for Logista?

An AI assistant that automatically reads contracts and flags risky clauses in a structured report.

Which types of clauses are detected?

Excessive penalties, unbalanced liabilities, tacit renewals, critical deadlines and warranty limitations.

Does the tool replace lawyers?

No. It gives them a structured starting point: interpretation, negotiation and decision-making remain human.