AI Agent for Contract Review | Deploy in Hours with Nagent
An AI agent for contract review automatically reads, extracts, and flags contract clauses against your defined playbook — without manual review queues. Nagent's multi-agent orchestration runs clause comparison, risk scoring, and redline suggestions in parallel, cutting first-pass review time from hours to minutes.
How it works
- Define your contract review playbook in Smriti
Open Nagent's Smriti memory layer and upload your standard contract playbook — acceptable clauses, red-flag terms, and fallback positions. Smriti stores these as persistent, queryable rules that every agent references on every review. No re-prompting required across sessions.
- Spin up your contract review agent in Build Craft
Use Build Craft to configure your agent's scope: contract type (NDA, MSA, SOW), jurisdiction, and output format. Select pre-built contract-review skills or compose custom logic with point-and-click tools. No code is required to go from blank canvas to a working agent.
- Connect your document sources
Integrate your contract intake channel — email, SharePoint, Google Drive, or a contract lifecycle management tool — using Nagent's native connectors. Contracts land in the queue and the agent picks them up automatically, without manual uploads or copy-paste handoffs.
- Run multi-agent orchestration with Helix
Helix, Nagent's orchestration engine, assigns parallel sub-agents to distinct review tasks: clause extraction, risk scoring, and redline generation run simultaneously rather than sequentially. This parallel execution is what compresses multi-hour reviews into a single-digit-minute turnaround.
- Score risk and surface exceptions with KARMIC
KARMIC, Nagent's reasoning and context module, applies your playbook rules to every extracted clause and produces a risk score with an evidence trail. High-risk clauses are surfaced with the exact contract language and the specific rule they violate, so your legal team reviews exceptions — not the entire document.
- Deliver redlines and summaries to your team
The agent outputs a structured review packet: an executive summary, a clause-by-clause risk table, and a tracked-changes redline document. Outputs route to your preferred destination — Slack, email, or your CLM — so reviewers receive context-rich findings without logging into another tool.
- Monitor, retrain, and improve over time
Nagent's feedback loop lets legal reviewers accept, reject, or override agent suggestions directly in the output. Each override updates Smriti, sharpening the agent's playbook alignment with every contract it processes. Accuracy improves continuously without manual model retraining.
Frequently asked questions
What types of contracts can the Nagent AI agent review?+
The Nagent contract review agent supports any text-based contract type — NDAs, MSAs, SOWs, vendor agreements, employment contracts, and more. You configure the agent's scope in Build Craft by specifying contract type and jurisdiction, so the same platform handles multiple contract categories without separate deployments.
How accurate is an AI agent for contract review compared to a human lawyer?+
Nagent's agent performs consistent, rule-based clause extraction and risk flagging against your defined playbook with high repeatability — it does not miss clauses due to fatigue or volume. That said, the agent is designed to surface exceptions for human legal review, not to replace attorney judgment on complex or novel legal questions.
How long does it take to deploy a contract review AI agent on Nagent?+
Most teams deploy a working contract review agent in under two hours using Build Craft and pre-built contract-review skills. Full integration with a document source and CLM typically takes one additional business day, depending on your existing tooling.
Does the AI agent for contract review require coding or IT involvement?+
No code is required to configure, deploy, or maintain the agent. Build Craft provides a point-and-click interface for agent logic, and Smriti accepts plain-language playbook uploads. IT involvement is only needed if your document source requires a custom API connector not already in Nagent's native library.
How does Nagent keep contract data secure during AI review?+
Nagent processes contract data within your designated environment and does not use customer contract content to train shared models. Data handling complies with enterprise security standards, and access controls are configurable at the agent, team, and document-source level. Contact Nagent for a detailed security and compliance brief specific to your jurisdiction.
Can the AI agent learn our company's specific contract preferences over time?+
Yes. Every time a legal reviewer accepts, rejects, or overrides an agent suggestion, that signal is written back to Smriti and updates the active playbook. The agent's clause assessments align more closely with your team's preferences with each contract processed, without requiring manual model retraining or prompt engineering.
How is Nagent's contract review agent different from a general-purpose LLM?+
A general-purpose LLM generates responses based on broad training data and has no persistent memory of your playbook or prior decisions. Nagent's agent combines Helix multi-agent orchestration, Smriti persistent memory, and KARMIC contextual reasoning to apply your specific rules consistently, produce auditable evidence trails, and improve accuracy over time — capabilities a standalone LLM does not provide.