Let's actually look at what LegalMind does with a real document, instead of describing it in the abstract.
I gave it a loan agreement and asked it to review it for compliance and risk. Here's what actually happened, step by step.
Step 1: it decides who should even look at this
The document goes to a coordinator first, not straight to one agent. It scores all 9 specialist agents against the document, and picks the ones that actually matter.
For a loan agreement, that turned out to be four: banking, contract review, FEMA, and insolvency. Labour law, IP, real estate, none of those had anything to contribute here, so they don't get run at all. That's not just tidier, it's faster and cheaper too.
Step 2: each relevant agent reviews it independently
The banking agent checks it against RBI lending guidelines. The contract review agent checks general enforceability and standard clause completeness. FEMA checks if there's a cross-border angle. Insolvency checks what happens on default.
They don't see each other's answers first. Each one reviews the document cold, from its own angle.
Step 3: the answers get weighted, not just listed
Banking ends up as the strongest match here, so its read carries the most weight in the final answer, roughly banking 35%, contract review 45%, FEMA 20% in this case, though the exact split depends on the document.
Here's what actually came back:
1{2 "final_answer": {3 "summary": "Loan agreement reviewed by 4 specialist agents",4 "key_issues": [5 "SARFAESI clause missing",6 "Interest rate exceeds RBI guidelines"7 ],8 "recommendations": [9 "Add Section 13(2) notice provision",10 "Revise interest to 12% p.a."11 ],12 "risk_level": "MEDIUM",13 "primary_domain": "banking",14 "contributing_agents": ["banking", "contract_review", "fema", "insolvency"]15 },16 "global_best_domain": "banking",17 "particle_scores": {18 "banking": 0.92,19 "contract_review": 0.78,20 "fema": 0.45,21 "insolvency": 0.2322 }23}Why the SARFAESI thing actually matters
A missing Section 13(2) notice provision under SARFAESI is exactly the kind of thing that's easy to miss in a manual review, because it's not wrong on the page, it's just absent. Nobody flags a clause that isn't there unless they're specifically checking for it.
That's the actual value of running four specialist lenses instead of one general read: the insolvency agent is specifically looking for "what happens if this goes bad", so it catches the gap the banking-only read might walk past.
And the interest rate flag
"Interest rate exceeds RBI guidelines" is a straightforward check on paper, compare a number against a published limit, but it's the kind of check that's easy to skip when you're focused on reading the agreement's actual language rather than cross-checking every number against current regulation.
An AI agent whose only job is comparing numbers against rules doesn't get tired of doing that on document 40 of the day.
What this doesn't replace
To be clear about what this is and isn't: it's a first pass, not a final answer. LegalMind's own disclaimer says exactly that, it's an assistant tool, not legal advice, and every output needs a licensed professional's review before anyone acts on it.
What it's good at is surfacing the things worth double-checking, fast, across multiple domains at once, so the human review starts from a shorter, more specific list instead of a blank page.
Try it yourself
LegalMind is live at legal.anshumansp.com. Upload an agreement and see which agents respond and what they catch.
FAQ
How long does an AI contract review actually take?
Seconds to a couple of minutes for a standard agreement. It still needs a licensed professional to review before anything is acted on.
What kind of issues does an AI legal review actually catch?
Missing standard clauses, terms outside regulatory limits, and cross-domain issues a single-focus review might not think to check.
Is AI contract review a replacement for a lawyer?
No. It's an assistant tool. Every output needs review by a licensed professional before use.
Building or using legal tech? I'd love to hear how you're approaching it. Reach out on LinkedIn.
