✍️ Introduction
Legly is a European contract review AI built for small and mid-size businesses — the kind of team that reviews the same NDAs, sales agreements, and supplier contracts over and over without a full-time legal department to lean on. It reads an uploaded contract, flags risky or missing clauses against review guidelines, and returns a plain-language summary in minutes. This review covers what it does well, where it falls short, what it costs, and — the question every buyer now asks first — how it handles your contract data.
The short version: Legly is a reasonable, low-friction pick for an SMB that wants fast first-pass review and a visual overview of its contract portfolio, with a genuinely free tier to test it. But its published security documentation is thin, which matters a lot for confidential legal work — so for now it earns a cautious recommendation, not an unqualified one. If data-safety leads your decision, see how it stacks up against tools with stronger postures in our full contract review AI comparison.
What Legly Does
Legly focuses on the review end of the contract workflow rather than the full lifecycle. Upload a contract and it scans for deal-breakers, missing clauses, and hidden costs, checks the document against review guidelines, and produces a summary a non-lawyer can act on. Its higher tiers add a visual portfolio overview and pre-signature review, and enterprise plans offer customized guidelines, SSO, and integrations. In practice it sits alongside tools like goHeather and Gavel Exec in the affordable, self-serve SMB tier — not against enterprise platforms like Ivo or Harvey.
🎯 Who Should Use Legly AI?
- Law Firms – Accelerate due-diligence and contract review processes.
- Startups & SMEs – Ensure legal compliance without hiring full-time counsel.
- Enterprise Teams – Automate repetitive document tasks and risk analysis.
- Freelancers & Consultants – Draft or verify agreements quickly and securely.
Legly makes the most sense for a small or mid-size business that reviews recurring B2B contracts NDAs, supplier and sales agreements and wants a fast, affordable first pass without hiring counsel for every document. Freelancers and consultants verifying agreements will get value from the free tier. It’s a weaker fit for enterprise legal departments needing deep playbook customization and hard security guarantees, for teams working in languages other than English, and for anything headed toward litigation, where full legal review is non-negotiable.
🧪 How Legly AI Works
Using Legly AI is simple: upload a contract (PDF, DOCX, or text), and the system instantly scans for key terms, potential risks, and compliance gaps. You’ll receive an AI-generated summary, recommended edits, and a clause-by-clause confidence score.
Because it’s cloud-based, you can collaborate securely with team members and export reviewed documents with tracked changes.
💰 Pricing & Availability
Legly AI offers:
- Free Trial – Limited document uploads per month.
- Pro Plan – Ideal for freelancers and startups.
- Business Plan – Includes multi-user collaboration and API access.
Transparent pricing and strong data-privacy policies (including GDPR compliance) enhance its trustworthiness under Google E-E-A-T.
⚙️ Benefits of Using Legly AI
🎯 Save Time – Review contracts in minutes, not hours.
🧠 Improve Accuracy – Identify hidden risks human reviewers might miss.
💰 Reduce Costs – Lower reliance on external legal consultations.
🔒 Ensure Compliance – Stay ahead of deadlines and policy changes.
📂 Work Efficiently – Centralized storage and collaboration in one dashboard.
🧠 Final Verdict: Is Legly AI Worth It?
Legly is a solid, low-friction contract review AI for small and mid-size teams, and the free tier makes it genuinely easy to try before you decide. Its main gap isn’t the product it’s the thin public security documentation, which holds back both its Trust Score and our confidence in recommending it for sensitive work. If Legly publishes (or sends us) its SOC 2 status, data-training policy, and sub-processor details, this becomes an easy recommendation in the SMB tier; until then, test it on non-confidential documents and get data terms in writing before you scale up.