Landfall

Landfall is built on a simple bet: regulation and engineering have to be the same conversation.

Today they aren't. Compliance teams read 200-page regulations and translate them into Word docs. Engineers read the Word docs and translate them into tickets. Somewhere in that double-translation, the regulation's intent gets lost, the engineer's implementation choices go undocumented, and when a regulator asks "show me how you addressed Article 28(b)," the answer is a Slack search.

Landfall collapses that gap. The same workflow that ingests the regulatory text produces the engineering work items, and every ticket carries its regulatory provenance back to the source clause. Acceptance criteria are written in engineering language but signed off against legal obligations. Ambiguities aren't resolved silently in someone's head; they're surfaced, interpreted with documented rationale, and approved by a human with separation of duties. AI drafts; humans decide.

The output isn't just a list of tickets. It's a bidirectional contract between legal and engineering. Push tickets to Jira or Linear with full obligation lineage. Generate YAML compliance contracts that live in your repo and fail CI when a PR drifts from a regulated requirement. Hand a regulator a SHA-256-sealed audit package that traces every line of shipped code back to the clause it satisfies.

319+ obligations. 15 jurisdictions. GDPR, DSA, OSA, COPPA, CAADCA, LGPD, and more, with 64 cross-regulation harmonizations so you implement once and satisfy many. One tool where the lawyer and the engineer are finally reading the same document.

Regulation-to-ticket pipeline - Generate Jira/Linear backlog items with acceptance criteria, edge cases, QA tests, and logging requirements 319+ obligations across 15 jurisdictions - GDPR, DSA, OSA, COPPA, CAADCA, LGPD, PDPA, AADC, and more Cross-regulation harmonization - 64 mapped relationships between equivalent requirements; implement once, satisfy many AI-assisted interpretation, human approval - AI-powered analysis with confidence scores; no silent interpretation, every interpretive step is human-approved Cryptographic audit trail - Append-only decision journal with hash chaining and SHA-256 integrity verification Audit certification packages - Self-contained HTML reports with executive summary, evidence collection, and full traceability Compliance contracts for CI/CD - Generate YAML contracts, verify compliance in your pipeline, detect drift on PRs that touch regulated areas Implementation pattern library - Pre-built patterns with code examples for Next.js, React, and Python Separation of duties - Multi-stage approvals where approver ≠ analyst Regulatory monitoring - Automated tracking of 30+ official sources with AI summaries and a compliance calendar for deadlines

Looking for pilot partners: product or compliance teams operating under GDPR, DSA, OSA, COPPA, or CAADCA who want to test the regulation-to-backlog workflow against a real product context and give honest feedback on the obligation mapping and ticket quality.

Also welcoming:

Legal/regulatory reviewers to sanity-check the obligation library and interpretation rationale across the 15 covered jurisdictions Engineers with views on the Jira/Linear export format, compliance contracts (YAML), and CI/CD drift detection Feedback on the audit certification package: is it something a regulator or external auditor would actually accept?

Especially keen to hear from anyone who has lived through "how did you address obligation X?" with a regulator and has scars to share.