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Analyses et tendances

AI and automation: strategic allies

The article emphasizes that artificial intelligence and automation are strategic tools for law firms, allowing them to reduce the time spent on non-billable administrative tasks and improve productivity. AI also transforms legal drafting and optimizes internal workflows while enhancing the client experience. Adopting these technologies is essential to differentiate oneself in a competitive market and attract new talent.

Author
Tomorrow Solutions
Published
June 17, 2025
Reading
4 min
AI and automation: strategic allies

Current Challenges in the Legal Sector

Law firms operate in a high-pressure professional environment. Facing increased competition and declining margins, they must meet new client expectations: speed, transparency, and cost control.

An alarming observation: 20% of lawyers' time is spent on non-billable administrative tasks, according to the National Bar Council. Other studies suggest that up to a third of working time is lost on these activities that add no legal value.

This situation directly impacts:

  • The profitability of firms
  • The quality of professional life
  • The time available for legal expertise

In this context, artificial intelligence and automation become essential strategic responses.

Automating Repetitive Tasks: A Proven Efficiency Lever

AI excels at handling routine tasks that occupy lawyers' daily lives:

  • Legal research
  • Document review
  • Email sorting
  • Legal monitoring

McKinsey estimates that automation can generate up to a 50% productivity gain in law firms. Impressive real-world examples include JPMorgan, which developed software capable of performing legal work equivalent to 360,000 human hours in just seconds.

The benefits are tangible for all structures:

  • 15% productivity gains per employee (equivalent to 5 hours saved per week)
  • 20 to 30% reduction in time for repetitive procedures
  • Up to 70% on certain specific tasks

Lawyers thus regain time to focus on their true value-added activities: advising, strategizing, negotiating, and litigating.

Legal Drafting Transformed by Generative AI

Language models like GPT-4 are revolutionizing legal document production. In just seconds, these tools generate:

  • Draft contracts
  • Legal memos
  • Conclusions
  • Arguments

Specialized legal tech companies like Harvey and Luminance confirm this potential. Luminance's legal service has reduced its contract review time by 60% while retaining over 90% of the work in-house.

More than half of legal professionals are already using generative AI as a drafting assistant. The gain is substantial: a standard contract that used to take several hours can now be generated in minutes.

Optimizing Internal Workflows of the Firm

Automation affects all administrative processes of the firm:

  • Opening and tracking files
  • Onboarding new clients
  • Reporting and timelines

Platforms like Make allow for connecting business software and creating intelligent workflows without complex programming.

Practical examples:

  1. A new client fills out an online form? The system automatically creates their file, generates a draft engagement letter, and sends a welcome email.

  2. Incoming emails are analyzed by AI, sorted, and even automatically responded to for standard requests.

  3. Automated dashboards provide real-time key indicators of the firm.

These automations enhance organizational coherence while eliminating the risks of error or oversight.

A Client Relationship Optimized by Technology

AI improves the client experience on several dimensions:

  • Immediate responsiveness via legal chatbots 24/7
  • Personalization of services through data analysis
  • Increased transparency with automated client portals
  • Broader accessibility with cost-optimized services

Clients appreciate this modernization that meets their expectations for speed and real-time tracking.

Equip Yourself Now: A Strategic Choice

Adopting AI today offers decisive competitive advantages:

  • Differentiation in a saturated legal market
  • Enhanced attractiveness for young talent
  • Positioning as an innovative firm
  • Preparation for future sector developments

The numbers speak for themselves: 77% of legal professionals believe that generative AI will increase the efficiency of the profession.

Tomorrow Solutions supports law firms in this transformation with a pragmatic approach:

  • Raising awareness of relevant use cases
  • Identifying priority processes for improvement
  • Developing tailored solutions
  • Secure integration respecting data confidentiality

Take Action This Week

  1. Identify a time-consuming task in your firm (email sorting, contract generation, legal monitoring)

  2. Test an AI tool on a pilot case and measure the gains achieved

  3. Train your teams on the new tools for successful adoption

The lawyer augmented by AI remains a legal expert but becomes more efficient, more available, and more effective in facing their clients' challenges.

Would you like to explore how AI can transform your practice? Let's take 30 minutes to discuss your specific needs for free: https://cal.com/tomorrow-solutions

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Other perspectives on enterprise AI adoption

  1. 01

    AI at Work: The Real Issue is No Longer the Tool, but the Organization

    The article emphasizes that the successful integration of AI into the professional environment depends less on the tools themselves and more on the ability of organizations to restructure their processes, roles, and modes of collaboration around AI. It identifies four models of collaboration between humans and AI, ranging from occasional assistance to complex orchestration, and stresses the importance of managerial support and organizational culture in maximizing the value created by AI. Ultimately, the competitive advantage will come from companies that can learn and adapt quickly, integrating AI consistently into their operational model.

    May 15, 2026
  2. 02

    Comparison of Enterprise AIs 2026: ChatGPT, Claude, Copilot, Gemini

    Choosing a language model (LLM) for a company is not solely dependent on technical performance, but also on integration into the work environment, governance, business use cases, and team adoption. Each solution, such as Microsoft Copilot, ChatGPT, Claude, Gemini, or Mistral, has its own advantages and limitations depending on the organizational context and specific needs. Instead of seeking a universal model, companies should consider a portfolio of models tailored to different uses, while ensuring effective governance and adoption.

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  3. 03

    AI Operating Model: How to Structure AI Adoption

    The article emphasizes the importance for large companies to structure AI adoption through a clear operational model, rather than limiting themselves to scattered and uncoordinated initiatives. An effective "AI operating model" should include an executive sponsor, straightforward governance, a backlog of use cases, a network of AI champions, targeted business enablement, and continuous value measurement to transform AI into a sustainable organizational capability. AI adoption should be managed as a transformation program, integrating measurable and secure practices, rather than merely deploying tools.

    May 1, 2026

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