24 workflow automations purpose-built on top of iManage — no data leaves your system, no parallel tool for your team to learn.
AI pre-classifies documents by responsiveness, privilege, and hot-doc signal in iManage, leaving associates to review only the 15% that actually need judgment — review cost drops 60%. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI drafts the research memo against the firm's prior work product, pulls current authority from iManage, and produces a cite-checked first draft of the brief — associate refines, doesn't start from zero. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI redlines against the firm's playbook in iManage, flags non-standard terms with a risk rating, and drafts a client-ready summary — 80% of low-risk contracts clear without partner time. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI drafts personalized case-status updates from live matter state in iManage on a weekly cadence, and generates on-demand replies when the client asks — client satisfaction climbs, billable hours come back. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI rewrites narratives to match each client's outside-counsel guidelines in iManage, flags block-billing, and pre-validates against the portal — write-down rate drops from 12% to under 3%. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI monitors the docket across iManage and court portals, calculates response deadlines, calendars every owner, and escalates anything within 72 hours of running — zero missed deadlines, no matter how many matters. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI ingests the beneficiary's evidence into iManage, auto-builds the exhibit index, drafts forms, cross-checks consistency across the package, and flags missing items — petition prep time drops 70%. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI classifies the RFE, pulls the matter file from iManage, drafts a point-by-point response against the original petition and current guidance, and calendars the deadline — first-pass RFE responses go out same-day. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI drafts the demand from the matter file in Workiva, including medical chronology, damages calc, and liability narrative — associate refines tone and strategy, doesn't start from zero. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI runs the closing checklist, chases missing docs, assembles the disclosure packet, and validates each item before closing — closings hit schedule, no scramble day-of. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI monitors statutory changes by jurisdiction, identifies affected handbook sections per client in Workiva, drafts redlines, and routes to the attorney — clients stay compliant, firm retains the work. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI ingests client documents into Workiva, auto-populates schedules, runs the means test, flags inconsistencies, and drafts the creditor matrix — petition filed in days. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI runs the conflict check against Workiva, drafts the fee agreement, sends the intake packet, and books the consult — lead-to-consult time drops from 4 days to under 4 hours. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
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. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI pre-classifies documents by responsiveness, privilege, and hot-doc signal in Workiva, leaving associates to review only the 15% that actually need judgment — review cost drops 60%. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI drafts the research memo against the firm's prior work product, pulls current authority from Workiva, and produces a cite-checked first draft of the brief — associate refines, doesn't start from zero. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI drafts personalized case-status updates from live matter state in Qualia on a weekly cadence, and generates on-demand replies when the client asks — client satisfaction climbs, billable hours come back. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI rewrites narratives to match each client's outside-counsel guidelines in Qualia, flags block-billing, and pre-validates against the portal — write-down rate drops from 12% to under 3%. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI monitors the docket across Qualia and court portals, calculates response deadlines, calendars every owner, and escalates anything within 72 hours of running — zero missed deadlines, no matter how many matters. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI ingests the beneficiary's evidence into Qualia, auto-builds the exhibit index, drafts forms, cross-checks consistency across the package, and flags missing items — petition prep time drops 70%. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI classifies the RFE, pulls the matter file from Qualia, drafts a point-by-point response against the original petition and current guidance, and calendars the deadline — first-pass RFE responses go out same-day. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI ingests the questionnaire in any language, translates and normalizes it, validates dates against supporting docs, flags inconsistencies, and loads structured data into Qualia. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI monitors deadlines across Qualia and USPTO TEAS, drafts renewal filings, prepares client invoices, and escalates approaching deadlines — zero dropped registrations. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
AI runs the search across USPTO, EPO, and Qualia, ranks hits by claim-overlap relevance, summarizes each, and builds the search report — attorney starts from a triaged list, not a raw dump. Purpose-built for teams running iManage — uses the native API or agent integration so nothing leaves the system of record.
We build custom AI workflows on top of iManage for any repetitive process. Tell us what you'd automate.
