Overview
Legal teams reviewing contracts manually miss industry-standard terms because they rely on static templates. This workflow takes a newly uploaded contract, extracts key clauses (indemnification, liability caps, termination), searches for current market precedents and standard language for each clause type, compiles a context brief with what similar companies typically agree to, and flags any clauses that deviate significantly from market norms. The search layer ensures your review reflects 2026 market standards, not outdated boilerplate.
Trigger
New contract uploaded to review queue
Schedule
On contract upload (event-driven)
Workflow Steps
Extract key clauses
Parse the uploaded contract to identify indemnification, liability, termination, IP assignment, and payment clauses.
Search for precedents
For each clause type, search Google for current standard language and recent legal commentary on market norms.
Compile context brief
Aggregate search results into a per-clause context document showing what comparable deals typically include.
Flag deviations
Compare extracted clauses against the precedent context. Flag terms that fall outside the typical range.
Python Implementation
import requests, os, json
H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}
CLAUSES = [
{"type": "indemnification", "text": "Vendor shall indemnify up to 1x annual contract value"},
{"type": "liability_cap", "text": "Total liability capped at $500,000"},
{"type": "termination", "text": "Either party may terminate with 30 days notice"},
{"type": "payment_terms", "text": "Net 60 payment terms"},
]
def search_precedents(clause_type):
"""Search for current market standards for a clause type."""
r = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
json={"platform": "google",
"query": f"{clause_type.replace('_', ' ')} standard contract terms 2026",
"ai_overview": True}, timeout=10).json()
snippets = [o.get("snippet", "") for o in r.get("organic", [])[:5]]
aio = r.get("ai_overview", {})
return {
"clause_type": clause_type,
"precedents": snippets,
"ai_summary": aio.get("text", "")[:300] if aio else "",
"sources": [o.get("link", "") for o in r.get("organic", [])[:3]]
}
for clause in CLAUSES:
precedent = search_precedents(clause["type"])
print(f"\n--- {clause['type'].upper()} ---")
print(f"Current text: {clause['text']}")
print(f"Market context: {precedent['ai_summary'][:200] if precedent['ai_summary'] else precedent['precedents'][0][:200]}")
print(f"Sources: {', '.join(precedent['sources'][:2])}")JavaScript Implementation
const H = {"x-api-key": process.env.SCAVIO_API_KEY, "Content-Type": "application/json"};
const CLAUSES = [
{type: "indemnification", text: "Vendor shall indemnify up to 1x annual contract value"},
{type: "liability_cap", text: "Total liability capped at $500,000"},
{type: "termination", text: "Either party may terminate with 30 days notice"},
{type: "payment_terms", text: "Net 60 payment terms"},
];
async function searchPrecedents(clauseType) {
const r = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({
platform: "google",
query: `${clauseType.replace(/_/g, " ")} standard contract terms 2026`,
ai_overview: true
})
}).then(r => r.json());
const snippets = (r.organic || []).slice(0, 5).map(o => o.snippet || "");
const aio = r.ai_overview || {};
return {
clauseType,
precedents: snippets,
aiSummary: (aio.text || "").slice(0, 300),
sources: (r.organic || []).slice(0, 3).map(o => o.link || "")
};
}
(async () => {
for (const clause of CLAUSES) {
const p = await searchPrecedents(clause.type);
console.log(`\n--- ${clause.type.toUpperCase()} ---`);
console.log(`Current: ${clause.text}`);
console.log(`Context: ${p.aiSummary.slice(0, 200) || p.precedents[0]?.slice(0, 200)}`);
console.log(`Sources: ${p.sources.slice(0, 2).join(", ")}`);
}
})();Platforms Used
Web search with knowledge graph, PAA, and AI overviews