The Big Shifts in Legal AI 2026 - 2027
About the webinar
From AI Assistance to Controlled Execution
The next phase of Legal AI is not about better answers. It is about AI beginning to execute legal work — under company standards, within defined boundaries, and with measurable quality. Legal AI is moving fast. Agents can carry out multi-step legal tasks, company knowledge is becoming executable, and Legal is increasingly expected to define how AI should act across the organisation. At the same time, the bar is rising: plausible outputs are no longer enough when AI starts participating in legal workflows. In this session, we examine four major shifts reshaping Legal AI in 2026–2027 — and show what they mean in practice through concrete legal use cases.
What you will learn in this session
- How company knowledge becomes an executable standard: see how existing policies, templates and contract history can be turned into a proposed Contract Playbook for Legal approval.
- How Legal can define the rules an AI agent executes: follow a supplier contract workflow in which the agent applies company standards, performs defined tasks and escalates when Legal judgement is required.
- How Legal can measure and improve AI-enabled work: see how reporting reveals recurring escalations, gaps in playbooks and areas where new company standards are needed.
Along the way, we will connect these practical examples to the four major shifts shaping Legal AI: from assistance to controlled execution, from legal knowledge to company judgement, from processing legal work to designing how it gets done, and from plausible outputs to measurable performance.
Join the session to see what the next phase of Legal AI already looks like in practice — and what it means for your legal department.
Register now.
Speaker
Dennis G. Jansen is a lawyer and software developer based in Berlin. He holds an LL.M. from the University of California, Berkeley, School of Law with a Certificate in Law and Technology and passed the Second State Examination in law in Germany. He served as Chief Legal Officer at CoachHub and as interim Chief Legal Officer at Staffbase, and founded the forensic software company Devidence and the AI-native law firm J-Law. He is a member of the LegalQuants network.
Celia Geering is a revenue leader in enterprise B2B SaaS with responsibility for commercial strategy, sales execution and RevOps. She spent five years building rready's international sales organisation, growing ARR by 500 per cent. As VP Sales at rready she reported to the Board and built the sales and RevOps teams across Europe, with enterprise growth in finance, energy, insurance, automotive and pharma. She closed long-term SaaS contracts with global enterprises and introduced the forecasting and pipeline governance behind predictable scaling.
Katarina Lechner bringt über 10 Jahre Erfahrung in der Leitung erfolgreicher Product- sowie Data Science & BI-Teams mit. Mit ihrem fundierten Hintergrund in Product Management, Projektmanagement, Data Science und AI setzt sie sich dafür ein, komplexe Daten in wirkungsvolle, umsetzbare AI-Produkte zu übersetzen, die Nutzer:innen dabei helfen, intelligenter statt härter zu arbeiten.
