Autonomous no-code AI legal agent: contract review, research + due diligence for legal teams

Problem

Contract review is manual and slow. Key clauses and risks get missed under time pressure.

Solution

Upload or connect contracts; the agent extracts clauses, flags risks against your playbook, and surfaces deviations. Lawyers focus on negotiation and edge cases.

What you get

• Faster first pass
• Consistent playbook checks
• Fewer missed clauses
• Scalable without more headcount

How to get started

1. Connect playbooks and sources. Load your clause library and risk criteria. Connect doc storage or matter management.
2. Set extraction and flags. Define what to extract (parties, terms, dates) and what risks to flag. Set comparison rules.
3. Review and negotiate. Agent outputs summary and redlines; you review and negotiate. Refine playbook from feedback.

Tools: Casetext CoCounsel, ContractPodAi, Luminance

Problem

Research takes hours. Junior associates and paralegals spend time on precedent and statute lookup.

Solution

Ask in plain language or upload a question; the agent searches case law and statutes, summarizes findings, and cites sources. You verify and cite in memos or briefs.

What you get

• Faster research
• Consistent citation quality
• Broader search
• Less manual digging

How to get started

1. Connect research sources. Link your research platform or use the tool's database. Set jurisdiction and practice area.
2. Query and refine. Enter question or issue. Review results; refine query or filters as needed.
3. Cite and draft. Use summaries and citations in memos or briefs. Verify key holdings before finalizing.

Tools: Casetext, Westlaw AI, Lexis+ AI

Problem

Regulations change constantly across jurisdictions. Legal teams discover new requirements too late, risking fines and operational disruptions.

Solution

The AI agent monitors regulatory feeds, maps changes to your business activities, and alerts the legal team with plain-language summaries and recommended actions. It tracks compliance deadlines and escalates as dates approach.

What you get

• Proactive awareness of regulatory changes
• Reduced risk of missed compliance deadlines
• Plain-language summaries for non-legal stakeholders
• Audit-ready compliance tracking

How to get started

1. Define regulatory scope. Set the jurisdictions, industries, and regulation types relevant to your business.
2. Map to business activities. Connect regulations to your products, operations, and contracts so the agent knows what affects you.
3. Monitor and alert. The agent scans daily, summarizes changes, and sends alerts when action is needed. Review in a dashboard.

Tools: Luminance, Kira Systems, ContractPodAi

Problem

Regulatory requirements change frequently across jurisdictions. Legal teams discover new obligations too late, risking fines, litigation, and operational disruption.

Solution

The AI agent monitors regulatory sources 24/7, maps changes to your specific business operations and contracts, and delivers prioritized alerts with plain-language summaries, affected areas, and recommended compliance steps.

What you get

• Proactive regulatory awareness across jurisdictions
• Plain-language summaries for non-legal stakeholders
• Compliance deadline tracking with automated reminders
• Audit-ready documentation of regulatory monitoring

How to get started

1. Define regulatory scope. Set jurisdictions, industries, and regulation types relevant to your business.
2. Map business activities. Connect regulations to your operations, products, and contracts so the agent knows what applies.
3. Monitor and respond. Receive alerts when regulations change. Review summaries, assign action items, and track compliance deadlines.

Tools: Kira Systems, Luminance, Lexis+ AI

Problem

Drafting legal documents from scratch is time-consuming even for routine agreements. Junior associates spend hours on first drafts that follow standard patterns.

Solution

The AI agent takes a natural-language description of the agreement (parties, terms, special conditions) and generates a complete first draft using your firm's templates and clause library. Lawyers review, redline, and finalize.

What you get

• First drafts in minutes instead of hours
• Consistent use of approved clause language
• Junior associates focus on analysis, not boilerplate
• Template library improves with every document

How to get started

1. Upload templates and clause library. Provide your standard templates, approved clauses, and style guide. The agent learns your firm's conventions.
2. Describe the document. Enter the agreement type, parties, key terms, and any special conditions in plain language.
3. Review and finalize. The agent generates a complete draft. Review, redline, and finalize with client-specific adjustments.

Tools: Casetext CoCounsel, Spellbook, ContractPodAi

Problem

M&A due diligence requires reviewing hundreds or thousands of contracts, leases, and agreements in a data room. Paralegals and junior associates spend 2–6 weeks manually reading documents, extracting key terms, and flagging issues. The cost is enormous ($50K–$200K+ for a mid-market deal), and human fatigue leads to missed risks.

Solution

The AI agent reads every document in the data room, extracts key terms (change of control provisions, assignment clauses, termination triggers, IP ownership, indemnification caps, non-compete terms), flags risks against a configurable checklist, and generates a structured due diligence report with citations to source documents. Lawyers review the AI-generated report and dig deeper on flagged items instead of reading every page.

What you get

• 70% faster due diligence cycle time
• 3–5x more documents reviewed per dollar spent
• Consistent extraction—no terms missed due to fatigue
• Structured output that maps directly to deal risk frameworks

How to get started

1. Configure extraction criteria. Define the key terms and risk factors for this deal type: change of control, assignment, IP, indemnification, non-compete, data privacy obligations, and any deal-specific concerns. Use templates for common deal types.
2. Ingest the data room. Connect to the virtual data room (Intralinks, Datasite, etc.) or upload documents. The agent reads every document, classifies by type (lease, employment agreement, customer contract, etc.), and begins extraction.
3. Review and finalize. Review the structured report: extracted terms organized by risk category, flagged items with citations, and a summary for each document group. Lawyers focus review time on flagged items and edge cases rather than reading every document.

Tools: Harvey AI, Casetext CoCounsel, Kira Systems