How can artificial intelligence automate complex operational processes?

AI can analyze unstructured data, compare information from multiple sources, and automate repetitive validations while maintaining a high level of accuracy.

What types of processes can be automated with AI in an organization?

Processes such as email handling, document validation, order processing, or request classification can be automated to reduce delays and manual effort.

What concrete benefits does AI-driven automation provide to teams?

Automation reduces low-value tasks, improves processing speed, and allows teams to focus on customer service and priority activities.

How does AI contribute to reducing operational costs?

By reducing processing time, manual errors, and the need for human intervention, AI helps lower costs while improving operational efficiency.

Why work with a partner like COFOMO for an AI initiative?

A partner like COFOMO helps align the AI project with business priorities, streamline integration, and ensure measurable and sustainable results.

When the legal sector takes a strategic turn toward data and AI.

Case study

2026.01.01

Finance & Insurance

A Quebec-based law firm with more than 300 professionals and collaborators across several offices throughout Quebec. The firm provides comprehensive legal services to businesses, public institutions, and organizations across various industries. It stands out through its proximity, agility, and strong understanding of business realities.

Industry

Legal

Company size

+350 employees

Localisation

Quebec

Expertises

Artificial intelligence (AI)
Data value creation and governance
Intelligent automation
AI and analytics maturity assessment
Digital transformation strategy and roadmap
Change management and team training

Technologies

Microsoft Azure (Cloud Functions, Logic Apps)
Serverless automation and system integrations
Process automation tools (RPA)
Cloud databases and data integration
Similarity algorithms and text data processing
Integration with internal data sources and external registries (e.g., REQ)

Key facts

50% reduction in file opening time (from 2h45 to 1h30 on average)
1h30 saved per file, up to 45 hours gained when onboarding a new lawyer (20 to 30 files)
15 administrative employees positively impacted through reduced manual tasks and a stronger focus on higher-value activities

Talk to an expert.

Lawyers walking and discussing data valorization and artificial intelligence in the legal sector.

A key player in the legal sector sought to better leverage the strategic potential of its data. Faced with a growing volume of unstructured information and challenges related to decision-making performance, the organization aimed to structure, analyze, and enhance the value of its information assets.

Videns, powered by COFOMO, supported this transformation by implementing artificial intelligence approaches tailored to the legal environment. This enabled the organization to move from traditional document management to structured, analytics-driven value creation.

The result: a law firm positioned as a pioneer in AI within the legal sector, with automated, reliable, and scalable processes.

Context and challenges

Manual processes under pressure from growth.

This key player in the legal sector manages large volumes of data generated from case files, contracts, case law, and internal communications. However, this information was often dispersed, inconsistently structured, and difficult to leverage effectively.

The main challenges included:

Lack of standardized data structuring
Difficulty quickly extracting relevant information
Limited visibility into trends and performance
Manual and time-consuming analytical processes
Need to improve strategic decision-making.

Solution

From strategic vision to concrete use cases.

The project explored high-potential use cases. Two initiatives were analyzed in depth to demonstrate how AI could impact legal operations:

Conflict-of-interest searches
Automation of the client file opening process

These activities, previously manual and time-consuming, showed potential to reduce administrative time by approximately 50%. These initiatives grounded the strategic reflection in tangible examples while highlighting key success factors for future implementation. A tailored training program was also designed to strengthen internal capabilities and support AI adoption across the firm.

Videns, powered by COFOMO, acted as both strategic and technology partner. The team supported the client in defining its AI vision, strengthening data governance, and prioritizing high-value use cases.

A multidisciplinary team (data strategy, data engineering, delivery) collaborated closely with internal stakeholders through workshops, process analysis, and continuous validation.

The approach included:

AI and analytics maturity assessment
Prioritized roadmap
Progressive and secure integration aligned with legal sector requirements

Outcome: A clear and structured roadmap for data and AI value creation, with concrete high-value use cases delivering:

Approximately 50% in efficiency gains
Reduced risk of human error
A solid foundation for sustainable and responsible digital transformation

Results

Measurable gains and sustainable foundations for AI

The organization was able to:

Reduce file opening time by approximately 50% through automation
Accelerate validations and conflict-of-interest detection by connecting multiple data sources
Decrease repetitive manual tasks and reduce risk of human error
Improve administrative team productivity and workflow fluidity
Strengthen data governance and establish solid AI-ready foundations

Strategically, the initiative embedded AI into tangible use cases, aligned teams around a shared vision, and positioned the client for responsible, secure, and sustainable digital transformation.

A sustainable transformation driving efficiency and innovation.

The project enabled them to modernize key processes while ensuring alignment between technological, organizational, and legal requirements. By combining a clear roadmap, concrete use cases, and change management, the firm now has strong foundations to integrate AI progressively, securely, and sustainably, in line with its compliance standards and business reality.

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FAQ

How can AI support processes in a demanding legal environment?
AI can automate the analysis of information from multiple sources, detect similarities between entities, and accelerate complex validations while meeting strict confidentiality and compliance requirements.

Which legal processes are best suited for intelligent automation?
Structured, repetitive processes such as file opening, conflict-of-interest searches, client data validation, and internal database updates are well suited for automation due to their data-intensive and manual nature.

What are the tangible benefits of AI for a law firm?
AI reduces administrative workload, improves validation accuracy, lowers the risk of human error, and frees teams to focus on higher-value activities, while creating long-term foundations for innovation.