While vendors are racing ahead with ambitious visions of autonomous AI agents, the reality for most legal organisations is very different.
Governance, security, permissions, data quality and trust remain the biggest barriers to adoption. As legal teams and law firms begin exploring AI that can act across multiple systems, the question is no longer “Which model should we choose?” but “Is our information infrastructure ready?”
MCP has brought agentic AI closer – AI can now send an email for you and upload or download a document – but with that are inherent risks that people need to prepare for. In this 45-minute webinar, we looked topics including:
– Where iManage customers are at anecdotally in their agentic journeys;
– The impact of MCP and how many iManage customers have swiched on iManage’s MCP Server (at what stage);
– iManage’s five-stage delegation gradient
– a maturity model showing the five levels of change along an agentic AI journey, including the points at which there is less human contact;
– The governance gap when you get further along the delegation gradient curve
– AI has not read your AI policy!;
– The difference by jurisdiction in the number of firms having locked down their documents on a permissioned basis;
– How things are changing and why investment is an easier sell;
– And, within the context of permissioning and ‘need to know’ security, what does ‘good enough’ look like?
Make sure you listen HERE for all the tips and takeaways, plus that delegation gradient slide.
If you would like to continue the conversation with iManage, click here. You can also access the white paper ‘Exploring why trustworthy AI starts with governance, not guesswork’, here.