Shadow analyzes your entire Oracle PL/SQL codebase against any legal amendment — detecting impact, generating fix patches, and routing approvals. In under 30 seconds.
Every time a law changes — tax rates, data protection rules, capital requirements — your PL/SQL breaks somewhere. Finding it manually takes weeks.
DBAs grep through thousands of procedures hoping to find all affected code. They miss things.
A typical regulatory impact assessment: $300K–$1M, delivered in 3 months. Shadow does it in 30 seconds.
MAS notices, GST amendments, Basel III updates — the enforcement date is fixed. You can't be late.
Upload your code, tell Shadow what changed, get a full impact report with patches.
Point Shadow at your Oracle source files — packages, procedures, functions, triggers. No database connection required.
Choose from built-in law dictionaries (MAS, PDPA, GST, tax code, employment law) or define your own. Shadow maps every changed term to your code.
Shadow returns: a risk-scored impact map, auto-generated fix patches for each affected location, and a governance approval queue. Review, approve, commit.
Real output from analyzing a financial services codebase against a GST amendment and three other regulatory changes.
◈ Shadow v1.0 — Regulatory Impact Analyzer ───────────────────────────────────────────────────── 📚 Dictionaries loaded JP 消費税法 184 terms · 30 patterns JP 民法 89 terms · 20 patterns JP 労働基準法 74 terms · 15 patterns JP 金融商品取引法 80 terms · 25 patterns SG MAS/PDPA/GST 50 terms · 10 patterns Total: 477 terms / 100 patterns across 5 dictionaries 🔍 Phase 1–3: Static analysis PKG_ORDER_MANAGEMENT ████████████ 75/100 [CRITICAL] PKG_PAYMENT_PROCESSING ██████████░░ 60/100 [HIGH] PKG_CUSTOMER_DATA ████████░░░░ 45/100 [MEDIUM] 📊 Amendment: GST (Amendment) Act 2026 [HIGH · SG] Direct impact 21 locations Indirect impact 2 locations Risk score 60/100 PKG_ORDER_MANAGEMENT.func_calc_gst line 312 CRITICAL → v_gst_rate := 0.09; ← hardcoded rate, must update to 0.10 PKG_ORDER_MANAGEMENT.func_calc_gst_inclusive line 330 CRITICAL → p_amount * 1.09 ← multiplier reflects old 9% rate PKG_ORDER_MANAGEMENT.proc_sg_aml_check line 358 HIGH → PDPA consent validation requires updated retention period 🔧 Auto-fix patches generated ✓ GST rate:0.09→0.10strategy: master_lookup ✓ GST inclusive:1.09→1.10strategy: master_lookup ✓ Retention constant update strategy: const_replace 🏛️ Governance: STRICT policy applied (tax/rate change) auto-approved 0 senior review 3 pending ← GST patches require senior sign-off compliance 0 ━━━ EXECUTIVE SUMMARY ━━━ Amendments analyzed 4 (3× JP, 1× SG) Impact locations 45 Auto-fix patches 8 Compliance grade D 59/100 → target B by Q2 Without Shadow ¥130M/year (consulting) With Shadow ¥11M/year Annual savings ¥119M · ROI 3,819% · payback < 1 month Tests: 15 pass / 0 fail
If your Oracle database is subject to legal compliance requirements, Shadow is built for you.
MAS regulations, PDPA data protection, GST amendments — Shadow ships with SG law dictionaries out of the box.
Embed Shadow's API into your delivery pipeline. Automate compliance checks for all your Oracle clients at once.
SOX, Dodd-Frank, Basel III updates hit Oracle PL/SQL hard. Shadow's custom dictionary feature covers any jurisdiction.
消費税法、民法改正、最低賃金改定、金融商品取引法 — built-in JP dictionaries covering major law amendments.
All plans include full impact analysis. No hidden fees, no procurement process, no annual commitments.
Start with the free tier. Upload one package. See how many lines are affected by the last amendment you know about.
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