As artificial intelligence moves from early experimentation to practical application, the legal industry is undergoing a significant transformation.
Grégoire Miot, Product Management Director of Legisway at Wolters Kluwer Legal Software, explores the key trends in legal AI, from automating routine tasks to enabling data-driven decisions. Discover how the Legisway suite is at the forefront of this evolution, empowering legal departments to shift their focus from manual work to high-value strategic contributions and shaping the future of legal work.
With 2025 coming to a close, what are the main trends for in-house legal teams and what can we expect moving forward?
Grégoire Miot: In-house legal teams are shifting from experimentation to progressive adoption of AI, while anchoring every deployment in measurable business outcomes. Legal teams are standardizing end-to-end workflows, accelerating self-service for the business, and turning their data into an operational asset that informs decisions, not just activity reports. Day-to-day work is beginning to benefit from generic AI assistants in small but meaningful ways, supporting tasks like drafting, intake triage, and research. These early steps are helping legal teams explore the potential of automation without disrupting established processes. Outside counsel management is also evolving gradually, with selective use of AI for invoice review and a growing emphasis on disciplined scoping, benchmarking, and alternative providers. Looking ahead, we expect proactive AI agents to orchestrate steps across procurement, finance, privacy, and security; richer interoperability to keep legal in the flow of business; stronger explainability to preserve trust; and analytics that tie legal work directly to cycle-time reduction, risk avoidance, and cost savings.
What is your overarching vision for AI in the Legiway suite?
Grégoire Miot: Our vision is to fundamentally transform the legal workspace for in-house teams. We are not simply adding generative AI capabilities to Legisway, we are reimagining the entire experience, so it becomes proactive, intelligent, and expert-driven. The Legisway suite will learn from each organization’s context, anticipate needs, and guide users through complex workflows with transparency and control. Security and privacy are designed from the start, and every AI-assisted action remains human-in-the-loop with citations, versioning, and full auditability. In short, the product evolves into a dependable expert teammate that understands the legal department’s DNA.
How are you approaching AI in the short term?
Grégoire Miot: In the short term, our focus is on delivering tangible, high-impact AI solutions that integrate seamlessly into our customers’ daily workflows. We have already introduced Legal AI in Legisway, which helps corporate legal teams by analyzing, summarizing, reorganizing, and extracting key data from documents–such as contracts, board minutes, and internal policies. This enables legal professionals to quickly access structured insights like key dates, clauses, and co-signatories, without manually combing through pages. It is a powerful tool for answering business questions, preparing reports, and gaining visibility across legal files.
We are also introducing our first contract redrafting and proofreading solution before the end of 2025 to accelerate authoring and negotiation through clause redrafting, fallback suggestions, and playbook-aligned changes with tracked edits.
In parallel, easyQuorum will soon benefit from generative AI capabilities to assist in drafting minutes, agendas, and convocations for corporate meetings, streamlining governance processes.
Overall, we are guiding our customers toward a new kind of experience where Expert AI does not just respond to queries, but proactively supports legal workflows with contextual intelligence and domain-specific expertise.
How is that aligned with the evolution of lawyers’ work?
Grégoire Miot: Our product roadmap is designed to reflect the legal profession’s shift from manual review toward more strategic decision-making. As we continue to develop our Expert AI capabilities, the goal is for it to handle the first pass on repetitive tasks, so lawyers can focus on negotiation strategy, risk trade-offs, and stakeholder alignment. We are working toward preserving context across contracting, governance, and compliance, so that the Legisway suite can link previously siloed steps into coherent, auditable workflows that are easier to manage and improve. Knowledge will increasingly shift from individual memory into playbooks, clause libraries, and structured data models, making quality more consistent and onboarding faster. Crucially, human oversight will remain central throughout this evolution, so professional responsibility is never compromised. Finally, deep integrations will allow lawyers to work seamlessly in email, documents, and collaboration tools minimizing disruptive context switching and enhancing productivity.
What makes our AI approach different from generic tools?
Grégoire Miot: We differentiate through legal-grade context, expert use cases, governance, and defensibility. Rather than relying on generic content, our Expert AI is grounded in each customer’s contracts, entities, corporate records, and compliance data, all governed by a consistent permission model. This ensures outputs are relevant to the organization’s actual policies and risk appetite, while protecting confidentiality through fine-grained access controls set in Legisway. Moreover, the Legisway suite relies on decades of deep understanding of our customers’ work with deep expert use cases in multiple practice areas reflected in our Expert AI solutions. We also apply legal ontologies and standardized data models so that results are consistent, reusable, and easier to audit.
What are your long-term goals for AI?
Grégoire Miot: Our long-term goal is to build a fully intelligent legal ecosystem that elevates legal from a set of tools to an adaptive workspace. We want to support a secure indexation of our customers’ legal data so the system can deliver precise, context-aware outputs rather than generic suggestions. Proactive AI workflow agents will monitor signals such as renewals, obligations, governance events, and policy changes, then trigger appropriate next steps with configurable approvals. The user experience will evolve into an instruction-based model where users describe the desired outcome and the system orchestrates steps. Open interoperability with ERP, CRM, security, and collaboration platforms will keep legal in the flow of business.
How are you expecting to build trust with technologies that are raising so many questions and concerns?
Grégoire Miot: At Wolters Kluwer, trust is the foundation of everything we do, and our approach to AI reflects that commitment. We design and deploy Expert AI solutions guided by principles of privacy, security, transparency, and accountability. Customer data is protected through strict privacy controls, encryption, and secure environments, ensuring it is never used to train shared models. Our systems are built to be transparent and explainable, so users understand how outputs are generated and can make informed decisions. We embed governance and accountability throughout the AI lifecycle, from design to deployment, with clear processes for risk management and issue remediation. Fairness and human-centricity are core to our approach: AI is developed to support legal professionals, not replace them, ensuring that human judgment remains central. Finally, we prioritize responsible innovation, balancing advanced capabilities with safeguards that uphold ethical standards and regulatory compliance. This is how we ensure that our Expert AI is a trusted, reliable partner for our customers.
