Your one-team legal software development company for build, AI, marketing, and talent

Cost depends on scope: a focused intake or document tool is far less than a full practice management and billing platform. We scope each build into milestones, give you a fixed estimate per milestone, and keep pricing roughly 70% below comparable onshore rates because our 200+ experts are in-house. You see the first working milestone typically within 90 days, so you are never funding a long build with nothing to show.

A first usable milestone typically lands within 90 days. The full timeline depends on integrations and data migration: connecting your CRM, calendar, and existing practice tools, and moving historical matters and documents, is usually the longest part. We sequence delivery so your team is using real functionality early, then we expand from there in steps instead of waiting for one big launch.

At minimum: role-based, least-privilege access so people only see the matters they should; encryption in transit and at rest; full audit logging of consequential actions; and data handling built to align with GDPR and any data-residency requirements your jurisdiction imposes. We engineer to these standards as a default. Note that Resourcifi builds to these requirements; we are not a certifying body, so formal certifications stay with you and your auditors.

Yes, when it is built correctly. AI document review is well suited to flagging clauses, extracting terms, and surfacing what a human should read first. On citations, we ground every answer in your approved sources and attach the source behind it, so an attorney can verify before relying on it. We do not let a model assert a case it cannot point to, because ungrounded models can fabricate citations. The accuracy that matters is whether each claim traces to a real source, and that is what we engineer for.

Every extraction is presented next to the source text it came from, with a confidence signal, and routed to a person for sign-off before it becomes part of the record. Low-confidence or high-stakes fields are escalated, not auto-accepted. We log who approved what and when, so the review itself is auditable. The model does the first pass and your team makes the call, which is how AI speeds legal work up while keeping the judgment with your attorneys.

Through documented APIs and connectors. We integrate with your CRM, sync Outlook calendars two ways, and connect to common practice management and document systems so data flows without duplicate entry. Where a tool has no clean API, we build a secure middleware layer. We map your integrations during scoping so there are no surprises, and we test each connection as part of QA before it goes live.

Start with the roadmap, then size the team to it. Through our staff augmentation services you get vetted, English-fluent legal software developers, AI engineers, data scientists, or QA who join your team and work in your sprint cadence. You can scale a dedicated development team up or down as your caseload shifts, use nearshore developers for time-zone overlap, and keep one point of accountability. Pricing runs roughly 70% below onshore because the engineers are in-house, not subcontracted.