LexiContract AI

Intelligent Contract Review & Abstraction

Series A Funding Round | Q1 2025

The Problem

Legal teams are drowning in contracts they can't process fast enough.

9.5 hrs
Avg. time to review one contract
$450/hr
Associate attorney cost
71%
GCs say volume is unmanageable

Time Drain

Associates spend 60% of billable hours on routine contract review instead of strategic work

Risk Exposure

Human fatigue leads to missed clauses, costing enterprises an average of $2.5M annually in legal disputes

Our Solution

AI that thinks like your best attorney

LexiContract AI Platform

Intelligent Extraction

  • Automatically identifies 150+ clause types across contract categories
  • Extracts key terms, dates, obligations, and renewal conditions
  • Maps clauses to your company's playbook and risk thresholds

Risk Scoring

  • Proprietary ML model trained on 2M+ legal documents
  • Flags non-standard language and deviation from preferred terms
  • Prioritizes review queue by risk level and deal value

Automated Abstraction

  • Generates structured summaries in minutes, not hours
  • Exports to CLM systems, spreadsheets, or custom formats
  • Full audit trail for compliance requirements

Redlining Assistant

  • Suggests revisions based on negotiation history
  • Auto-generates comparison against standard templates
  • Learns from attorney feedback to improve over time

How It Works

1. Upload

Drag & drop contracts in any format (PDF, Word, scans). Batch upload supported.

2. Analyze

Our AI extracts clauses, identifies risks, and maps to your playbook in under 2 minutes.

3. Review

Attorneys validate flagged items. Human-in-the-loop ensures accuracy and builds trust.

4. Execute

Export abstracts, track obligations, and integrate with your CLM or ERP systems.

Result: Reduce contract review time by 85% while improving accuracy to 99.2%.

Market Opportunity

A massive, underserved market ready for AI disruption

Market Size

$50B
Total Addressable Market

Global legal services spend on contract-related work

$12B
SAM

Enterprise legal tech spend in NA & EU

$850M
SOM (5-Year)

Attainable with current go-to-market

Sources: Thomson Reuters Legal Market Report 2024, Gartner Legal Tech Forecast

Business Model

SaaS subscription with usage-based pricing tiers

Starter
$2,500/mo
  • Up to 100 contracts/month
  • 5 user seats
  • Standard clause library
  • Email support
  • Basic integrations
Professional
$8,500/mo
  • Up to 500 contracts/month
  • 25 user seats
  • Custom playbook configuration
  • Priority support + CSM
  • CLM integrations
Enterprise
Custom
  • Unlimited contracts
  • Unlimited seats
  • Dedicated model training
  • On-premise deployment option
  • White-glove onboarding

Expansion Revenue: 140% NRR from seat expansion and tier upgrades

Unit Economics: CAC payback of 14 months, LTV:CAC ratio of 5.2x

Traction & Metrics

$4.2M
ARR
47
Enterprise Customers
18%
MoM Growth
94%
Logo Retention

Competitive Landscape

Why LexiContract wins

Competitive Advantage

Capability LexiContract Kira Systems Luminance DocuSign AI
Custom Clause Training
Playbook Integration
Real-time Collaboration
Risk Scoring Engine
Avg. Price (Enterprise) $100K $250K+ $300K+ $75K

Our Moat

  • Proprietary training data from 2M+ contracts across 40+ industries
  • Legal domain expertise with former BigLaw partners on team
  • Enterprise relationships with 3 of the Am Law 50

Go-to-Market Strategy

Target Segments

  • Primary: Fortune 1000 in-house legal teams (5-50 attorneys)
  • Secondary: Am Law 200 firms with high-volume practices
  • Expansion: Mid-market legal ops via channel partners

Channel Strategy

  • Direct sales: Enterprise AEs for $100K+ deals
  • Partnerships: CLM vendors (Ironclad, Agiloft) as referral partners
  • Consultants: Big 4 legal transformation practices

Growth Levers

Land & Expand: Start with one practice group, prove ROI in 90 days, expand enterprise-wide

Product-Led Growth: Free clause extraction tool drives 3,200 monthly qualified leads

Community: LexiContract Academy certifies 500+ legal ops professionals quarterly

Our Team

Built by legal tech veterans and AI researchers

Leadership Team

Sarah Chen
CEO & Co-Founder
Former VP Product at Kira Systems. 12 years in legal tech. Harvard Law JD, Stanford MBA.
Dr. Marcus Webb
CTO & Co-Founder
Ex-Google AI Research. Led NLP teams at DeepMind. PhD in Computational Linguistics, MIT.
Jennifer Park
Chief Legal Officer
Former Partner at Skadden. 18 years M&A experience. Reviewed 10,000+ contracts in her career.
David Okonkwo
CRO
Built sales at Ironclad from $5M to $80M ARR. 15 years enterprise SaaS experience.

32 employees across SF, NYC, and London

Key hires planned: VP Engineering, VP Marketing, 8 AEs

Advisors: Former GCs from Microsoft, Salesforce, and Goldman Sachs

The Ask

$25M
Series A

18-month runway to profitability

Use of Funds

45%

R&D & Engineering

Expand AI capabilities, build integrations, scale infrastructure

35%

Sales & Marketing

Triple sales team, expand to EMEA, launch brand campaign

15%

Customer Success

Build world-class onboarding and support organization

5%

G&A

Legal, finance, and operations infrastructure

Milestones: $15M ARR by Q4 2025 | 150 enterprise customers | Break-even by Q2 2026

Current Investors

Sequoia Capital

Seed Lead

a][ Capital

Seed

Emergence

Seed

Legal Tech Angels

Seed

"LexiContract has cracked the code on making AI actually useful for legal teams. Their accuracy rates are unmatched, and the ROI our portfolio companies see is remarkable."

Partner, Sequoia Capital
$8.5M
Total Raised to Date
$45M
Post-Money (Seed)
3.5x
Revenue Multiple Growth

The Future of Legal Work

Every contract reviewed in minutes, not hours.
Every risk identified before it becomes a problem.
Every legal team empowered to do their best work.

Sarah Chen, CEO

sarah@lexicontract.ai | (415) 555-0142

www.lexicontract.ai