16 workflow automations purpose-built on top of Everlaw — no data leaves your system, no parallel tool for your team to learn.
AI drafts the research memo against the firm's prior work product, pulls current authority from Relativity, and produces a cite-checked first draft of the brief — associate refines, doesn't start from zero. Purpose-built for teams running Everlaw — 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 Relativity, leaving associates to review only the 15% that actually need judgment — review cost drops 60%. Purpose-built for teams running Everlaw — 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 Relativity 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 Everlaw — uses the native API or agent integration so nothing leaves the system of record.
AI redlines against the firm's playbook in Relativity, 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 Everlaw — 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 Relativity, flags block-billing, and pre-validates against the portal — write-down rate drops from 12% to under 3%. Purpose-built for teams running Everlaw — uses the native API or agent integration so nothing leaves the system of record.
AI monitors the docket across Relativity 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 Everlaw — uses the native API or agent integration so nothing leaves the system of record.
AI ingests the beneficiary's evidence into Relativity, 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 Everlaw — uses the native API or agent integration so nothing leaves the system of record.
AI classifies the RFE, pulls the matter file from Relativity, 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 Everlaw — 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 Relativity, leaving associates to review only the 15% that actually need judgment — review cost drops 60%. Purpose-built for teams running Everlaw — 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 Everlaw — 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 Relativity, drafts redlines, and routes to the attorney — clients stay compliant, firm retains the work. Purpose-built for teams running Everlaw — uses the native API or agent integration so nothing leaves the system of record.
AI ingests client documents into Relativity, auto-populates schedules, runs the means test, flags inconsistencies, and drafts the creditor matrix — petition filed in days. Purpose-built for teams running Everlaw — uses the native API or agent integration so nothing leaves the system of record.
AI runs the conflict check against Relativity, 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 Everlaw — 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 Everlaw — 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 Relativity, and produces a cite-checked first draft of the brief — associate refines, doesn't start from zero. Purpose-built for teams running Everlaw — uses the native API or agent integration so nothing leaves the system of record.
AI redlines against the firm's playbook in Relativity, 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 Everlaw — uses the native API or agent integration so nothing leaves the system of record.
We build custom AI workflows on top of Everlaw for any repetitive process. Tell us what you'd automate.
