Casepoint

Casepoint provides a unified platform spanning legal, regulatory, investigative and compliance workflows, publishing an MCP server that connects an organisation's approved AI ecosystem to the platform to extend secure AI access across those workflows.

Publishing an MCP server is the notable technical decision and it addresses a problem that is becoming urgent in legal technology specifically.

Organisations are adopting AI assistants, and legal departments hold some of the most sensitive material in any company. The instinct is to keep AI away from it entirely, which is defensible and increasingly impractical, because the work AI is genuinely good at, summarising large document sets, finding relevant passages, drafting from source material, is exactly what legal teams spend their time on.

An MCP server changes the shape of that problem. Rather than exporting sensitive material into a general AI tool, the organisation's own approved AI connects to the platform as a governed tool, with access controlled by the platform rather than by whoever pasted what into a chat window.

The phrase approved AI ecosystem is doing real work in that sentence. It acknowledges that the organisation has already decided which AI systems it permits, and the platform's job is fitting into that decision rather than introducing another model with its own terms.

Unifying legal, regulatory, investigative and compliance workflows is coherent because the underlying activity is the same: identify relevant material within a large corpus, review it, and produce a defensible account. The differences are in obligation and timescale rather than in mechanics, and running them separately means the same documents are collected repeatedly.

Pricing is published on a pricing page but no figure was captured, so confirm current rates with the vendor.