Build a reliable AI workflow for your legaltech team.

A legaltech AI integration should make research, document, intake, or matter operations faster while preserving sources, matter boundaries, and qualified human review. The system should assist with preparation and retrieval before it is allowed to draft or send consequential advice.

Yes. The review identifies the bugs, architecture gaps, deployment issues, monitoring gaps, and edge cases that could block a trustworthy release. Implementation is separately scoped.

Yes. It checks identity, authorization, tenant boundaries, RLS where relevant, secrets, sensitive data exposure, API abuse, and prompt or context manipulation when AI behavior is in scope. It is a bounded readiness review, not a penetration test.

Yes. A senior engineer traces the relevant code and configuration, then validates behavior against evidence, including hidden logic defects, unsafe migrations, weak permissions, retry failures, and duplicate actions.

Yes. We inspect existing tests, pull-request checks, CI/CD, staging, monitoring, deployment, and rollback controls that affect the reviewed journey. We do not implement every gap in the review fee.

Yes. APIs, webhooks, payments, CRM and automation workflows, document processing, agents, media pipelines, queues, retries, and recovery are checked when the critical journey depends on them.

Yes. The review is platform-agnostic and can inspect apps built with Lovable, Replit, Base44, Cursor, Claude Code, Codex, v0, Bolt, WordPress, or similar tools. Migration planning or implementation is separately scoped.

Yes, where it affects the reviewed journey. We check architecture, database design, reusable components, documentation, discoverability, platform lock-in, ownership, and the next developer's ability to make a safe change.

Yes, when they affect the launch journey. We check responsive behavior, loading, empty and error states, accessibility, SEO-critical surfaces, and launch-impacting product polish. A full redesign is outside scope.

Custom AI Workflow Integration is $10,000 to $35,000, milestone-based. The final scope depends on the defined workflow, system access, evidence required, and agreed handover.

Matter data and sources stay isolated Every substantive output points back to approved evidence Advice, filing, and client commitments remain subject to human review The engagement should end with an explicit handover and a clear list of remaining risks, not a general claim that the AI is safe.

The work supports legal operations. It does not replace legal judgment or provide autonomous legal advice.