Clause
Clause is a full-stack CLM platform that empowers legal teams, business users, and freelancers to draft, analyze, negotiate, approve, and sign contracts — all in one place
Web Design
Sep 23, 2025
Problem Statement
We struggle with contract complexity, and are often overwhelmed by volume , compliance demands, and review cycles. A Limited legal budget, means we can’t handle lengthy contracts. Often end up operating based on trust. Facing gaps in usability, explainability, and AI transparency.
Research Context
84% of Indian MSMEs struggle with contract complexity,
yet over 70% lack dedicated legal support during drafting and review.
Research Insights Metrics
51%
Of firms already using AI
54%
Increase in customer experience
66%
Increse in daily productivity.
$58bn*
Projected scale of AI agent market.
Pain Points
Universal
Manual contract searching and information retrieval - Daily productivity drain, decision delays. Data security concerns with new technology adoption - Innovation blocking, regulatory risk.
High Impact
System fragmentation and lack of integration - Workflow inefficiency, data silos Repetitive manual template customization - Resource waste, human error risk. Lack of contract portfolio visibility - Strategic blindness, risk exposure
Role Specific User Flows
Client wants drafting & core contract help, not a full CLM replacement disrupting their existing tools. Entire teams (even non legal) are used to apps like docusign for e-signing and verifying, don’t need to replace that.
Decisions Made
Co-Pilot Drafting
AI powered drafting with complete user control to speed up repetitive workflows.
Tradeoffs:
May over-assist and reduce user trust if not transparent. Risk of hallucinated legal content.
Constraints:
Must preserve user control and editing capabilities
Needs legal-quality generation (e.g., tone, accuracy, structure).
Result:
AI drafts content in user’s tone/style, but always user-reviewed before finalizing. Enhances speed without sacrificing oversight.

Clause Analysis Features
Automatically identify clauses and flag risky, biased, or uncommon ones with a visual rating per clause and entire document & suggest changes for problematic clauses.
Tradeoffs:
Too many highlights can overwhelm users
False positives/negatives may confuse or mislead
Constraints:
Must be explainable, visual, and clause-specific
Needs reliable legal dataset and tuning
Result:
Clear clause-by-clause analysis with severity tagging and suggestions. Drives confidence in legal review without needing a lawyer.

Voume Management System
A cloud or local contract CMS with version control, filters, tags, and smart folders. All contracts indexed and searchable by semantics, with custom tags, contract types, and metadata for organization.
Tradeoffs:
Complex interface if too many organization tools.
Constraints:
Needs to support high-volume contract search/filtering. Must allow secure tagging and retrieval
Result:
Tag-based, semantically indexed CMS with smart folders, aiding contract tracking, audits, and sorting across departments.

SOC II Compliance
Hosted on secure, SOC 2-compliant cloud infrastructure with end-to-end encryption, with audit logs to ensure compliance, especially for enterprise legal standards.
Tradeoffs:
Increases infrastructure cost and complexity
Slower initial deployment cycles due to compliance audits
Constraints:
Enterprise clients require compliance for legal use
No user data should be stored without encryption
Result:
Clause is built on secure infra with audit logs and encryption by default. Enables trusted use in enterprise and legal teams.
Open To Integrations
Clause exports in standard formats, and can integrate into any pipeline without disrupting workflows across teams, like e-signing, negotiation, etc.
Tradeoffs:
Needs extensive API compatibility
Harder to support in a closed system with visual UX tools
Constraints:
Must support formats like .docx, .pdf, .json, and connect to tools like DocuSign or Slack
Result:
Clause outputs in open formats and can plug into external tools. Avoids becoming a closed CLM system, making it easy to adopt.
Outcome Post Testing
65%
faster first-draft generation
upto 40%
fewer missed redlines or risky clauses
80%
adoption rate over manual drafting
$58bn*
Projected scale of AI agent market.