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“Deterministic” is one of those words that gets used a lot in legal automation conversations, especially now that AI is becoming embedded in everyday workflows. It sounds technical, maybe even slightly intimidating. But the concept itself is.

For the past two years, legal AI has largely been framed as a productivity story. Draft faster. Research quicker. Summarise in seconds. And it worked. AI workspaces proved their value by helping lawyers move more efficiently through familiar tasks..

If you lead innovation or knowledge management at a large law firm, chances are you’re seeing the same pattern play out. New AI tools arrive with big promises. Pilots get approved. Early demos look impressive. Lawyers draft faster, review quicker,.

A new genie has been unleashed on legal. We have been on a journey towards ‘legal product’: improved, structured legal delivery and allocation of legal work to the best resource at the right cost. We utilise templates, playbooks, understand the.

Structured data The fuel of the future Law firms have access to volumes of data. Data about themselves, their people, how they practice, metrics regarding utilisation and profitability and also an immense amount of client data. However almost all.

With economic uncertainty, remote working now a reality and a drive for productivity gains and ultimately profitability, many law firms are focused on automation and workflow optimisation to drive practice efficiency. This often manifests itself in.

The State of Play: Workflow Automation for Legal The latest time warp between social media feeds and our day to day experience talking to customers and prospects about workflow is upon us. On the one hand the promise that generative AI will take.