The next phase of Legal Ops is about making high quality legal delivery repeatable, measurable, and scalable across teams, so clients get faster turnaround, cost certainty, and defensible risk decisions. The advantage comes from combining standard workflows, strong governance (including AI controls), and decision-grade data to run legal delivery as an operating platform. Legal Ops operates as a true centre of excellence, driving automation, GenAI, and agentic AI across workflows, owning configuration and management, supporting co-execution, and applying governance that validates outcomes.
What clients are asking for
Across sectors, clients need legal support that is faster, more transparent, and easier to scale, while still delivering quality, consistency, and strategic insights. Clients ask for:
- Speed with confidence: We can commit to clear service levels and predictable cycle times, answering the challenge that many clients face to provide accurate results faster.
- Cost certainty: Legal Ops makes scope, assumptions, and pricing transparent. We manage change control consistently and measure success through the impact derived.
- Defensible decisions: We can evidence quality gates, review points, and audit-ready outputs, especially where automation or AI is used, with a human-in-the-loop governance protocol embedded into delivery workstreams.
Why legal functions must act now
Legal functions should act now to redesign service delivery, workforce roles, and governance for an AI-enabled operating model.
- Strategic shift: The market is moving towards AI-enabled delivery, where legal teams increasingly build, oversee, and quality-assure solutions rather than provide advice alone.
- Operating model implications: Firms are likely to evolve toward knowledge-as-a-service and productised legal offerings, with competitive advantage coming from workflow redesign and scalable delivery models rather than tool adoption alone.
- Board focus: Leadership should prioritise decisions on where human expertise remains critical, how performance will be measured in an AI-enabled environment, and what risk, accuracy, and governance standards are required to scale adoption safely.
- Bottom line: This is not simply a technology shift; it is a structural redesign of legal work. Organisations that move early to reshape delivery, talent, and controls will be best positioned to lead.
Why now?
Regulatory complexity is rising, cost pressure remains constant, and AI in legal is mainstreaming. This means clients and panel reviews will increasingly test how delivery is run: the controls, the data, and the ability to scale with quality. This drives demand for scalable, tech-enabled solutions. Technology alone, however, is not enough – differentiation comes from an operating model that connects process, people, technology, and data end-to-end, and we operate most effectively at this intersection.
What is changing in our Legal Ops
- Capability evolution – Multidisciplinary by design: The war for talent is intensifying, requiring lawyers to go beyond technical expertise to curate knowledge, build client relationships, and adopt a growth mindset. Proficiency in technology and data is now essential, with delivery increasingly driven by multidisciplinary teams as knowledge becomes embedded within systems.
- Productisation – From bespoke to scalable services: DWF will scale by converting repeatable work into clearly defined offerings with standard scope, structured intake, playbooks, QA, and reporting, enabling predictable, client-ready services that are easy to procure and deliver consistently.
- Workflow-led delivery: The shift to a workflow-first model embeds technology across end-to-end processes, ensuring consistent, value-driven delivery across teams, locations, and channels, while improving efficiency and reducing cycle times.
- AI governance – A strategic differentiator: DWF will scale AI responsibly through defined use cases, including embedding quality controls, audit trails, and structured human oversight, ensuring outputs are reliable, defensible, and aligned with regulatory and client expectations.
- Supervised agentic AI – Controlled orchestration: Legal delivery is moving towards supervised agentic systems that orchestrate multi-step workflows (e.g. intake, drafting, updates). Scale will be enabled through clear task boundaries, permissions, human review, and robust audit and exception handling.
- Decision-grade data – From reporting to insight: DWF will report on decision-grade insights across demand, cycle time, cost-to-serve, quality, and outcomes, enabling client-ready dashboards and more informed, value-driven decision-making.
Looking ahead: A technology-first, intelligence-led future
Our Legal Operations is moving towards technology-led execution at scale, embedding intelligence directly into core delivery.
As we look ahead, here are some of our key initiatives:
- Agentic AI-driven delivery: We will provide scaled, supervised agentic AI workflows across legal processes using the Microsoft ecosystem, with human-in-the-loop oversight, auditability, and defensibility embedded by design.
- Expanded AI integration across workstreams: Our global team will extend group-approved AI tools beyond current use cases into broader contractual, regulatory, and data-intensive services to improve speed, consistency, and commercial outcomes.
- Horizon Scanning 2.0: We will be launching a secure, client-facing portal with an AI-enabled assistant, providing real-time, interactive regulatory intelligence and embedding insights into client governance and risk frameworks.
- Legal Operations intelligence (Microsoft Fabric): We will establish a unified data and analytics platform bringing together delivery, financial, and performance data, integrated with Copilot to enable real-time, natural language-driven insights.
Evolution
For DWF, the future of Legal Ops, sitting within our Global Capability Centre, is a shift to a disciplined delivery platform: product-led, data-led, and AI-governed. Legal Ops will be crucial in helping legal teams succeed by showing, case by case, how we control risk, measure quality, and improve performance over time, while freeing senior lawyers’ time to focus on the judgement-heavy work only they can do.
AI is driving increased demand rather than reducing it. Faster delivery is expanding scope and surfacing new work. Maintaining the revision of playbooks is crucial, and expectations around quality and speed from law firms are paramount.
Legal Ops remains perfectly positioned as a core growth engine and delivery accelerator for practice areas, driving measurable value, freeing up advisory capacity, and creating a repeatable model that can be scaled across the business.
