Custom AI workflows built specifically for patent prosecution: deep integrations with the ipManager stack, legal-grade privacy, and workflows that pay back in weeks, not years.
AI ingests client documents into ipManager, auto-populates schedules, runs the means test, flags inconsistencies, and drafts the creditor matrix — petition filed in days.
AI runs the conflict check against ipManager, drafts the fee agreement, sends the intake packet, and books the consult — lead-to-consult time drops from 4 days to under 4 hours.
AI ingests the transcript, produces a page-line summary with topic tags and exhibit cross-references, and flags contradictions across witnesses — associate produces a defensible summary in 30 minutes.
AI pre-classifies documents by responsiveness, privilege, and hot-doc signal in ipManager, leaving associates to review only the 15% that actually need judgment — review cost drops 60%.
AI drafts the research memo against the firm's prior work product, pulls current authority from ipManager, and produces a cite-checked first draft of the brief — associate refines, doesn't start from zero.
AI redlines against the firm's playbook in ipManager, flags non-standard terms with a risk rating, and drafts a client-ready summary — 80% of low-risk contracts clear without partner time.
AI drafts personalized case-status updates from live matter state in ipManager on a weekly cadence, and generates on-demand replies when the client asks — client satisfaction climbs, billable hours come back.
AI rewrites narratives to match each client's outside-counsel guidelines in ipManager, flags block-billing, and pre-validates against the portal — write-down rate drops from 12% to under 3%.
For ip attorneys
For ip attorneys
For ip attorneys
For ip attorneys
For ip attorneys
For ip attorneys
The workflows above are starting points. Every patent prosecution operation runs differently — we build what you actually need.
