Overall Winner: Casetext·75/ 100

Casetext vs Relativity

In-depth comparison — valuation, funding, investors, founders & more

Winner
C
Casetext

🇺🇸 United States · Jake Heller

AcquiredAI LegalEst. 2013

Valuation

$650M

Total Funding

$64M

75
Awaira Score75/100

120 employees

Full Casetext Profile →
R
Relativity

🇺🇸 United States · Andrew Sieja

PrivateAI LegalEst. 2001

Valuation

$3.6B

Total Funding

N/A

75
Awaira Score75/100

1750 employees

Full Relativity Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Casetext and Relativity compete directly in the AI Legal space, making this a head-to-head matchup within the same market segment. Casetext is an AI-powered legal research and document automation platform founded in 2013. Relativity is a cloud-based legal technology platform founded in 2001 that provides software solutions for legal discovery, case management, and document review.

Relativity carries a valuation of $3.6B, which is 5.5x higher than Casetext's $650M. Casetext has raised $64M in disclosed funding.

Relativity has 12 years more market experience, having been founded in 2001 compared to Casetext's 2013 founding. In terms of growth stage, Casetext is at Acquired while Relativity is at Private — a meaningful difference for investors evaluating risk and upside.

Both companies are headquartered in 🇺🇸 United States, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, both companies are closely matched — Casetext scores 75 and Relativity scores 75.

Metrics Comparison

MetricCasetextRelativity
💰Valuation
$650M
$3.6BWINS
📈Total Funding
$64M
N/A
📅Founded
2013WINS
2001
🚀Stage
Acquired
Private
👥Employees
120
1750
🌍Country
United States
United States
🏷️Category
AI Legal
AI Legal
Awaira Score
75
75

Key Differences

💰

Valuation gap: Relativity is valued 5.5x higher ($3.6B vs $650M)

📅

Market experience: Relativity has 12 years more (founded 2001 vs 2013)

🚀

Growth stage: Casetext is at Acquired vs Relativity at Private

👥

Team size: Casetext has 120 employees vs Relativity's 1750

⚔️

Direct competitors: Both operate in the AI Legal market segment

Which Should You Choose?

Use these signals to make the right call

C

Choose Casetext if…

Top Pick
  • Stronger investor backing — raised $64M
  • Casetext is an AI-powered legal research and document automation platform founded in 2013
R

Choose Relativity if…

  • More established by valuation ($3.6B)
  • More market experience — founded in 2001
  • Relativity is a cloud-based legal technology platform founded in 2001 that provides software solutions for legal discovery, case management, and document review

Funding History

Casetext raised $64M across 3 rounds. Relativity raised N/A across 1 round.

Casetext

Series C

Jun 2021

Lead: Menlo Ventures

$36M

Series B

Sep 2018

$13M

Series A

Jan 2017

Lead: Greycroft Partners

$15M

Relativity

Series A

Jan 2008

Lead: Thoma Bravo

$50M

Investor Comparison

No shared investors detected between these two companies.

Unique to Casetext

Menlo VenturesGreycroft Partners

Unique to Relativity

Thoma Bravo

Users Also Compare

FAQ — Casetext vs Relativity

Is Casetext bigger than Relativity?
By valuation, Relativity is the larger company at $3.6B versus $650M — a 5.5x difference. Size can also be measured by team: Casetext employs 120 people while Relativity has 1750 employees.
Which company raised more funding — Casetext or Relativity?
Casetext has raised $64M in disclosed funding across 3 known rounds. Relativity's funding history is not publicly available.
Which company has a higher Awaira Score?
Both Casetext and Relativity share the same Awaira Score of 75/100. The Awaira Score is a composite metric that factors in valuation, total funding raised, company stage, employee count, and market category.
Who founded Casetext vs Relativity?
Casetext was founded by Jake Heller in 2013. Relativity was founded by Andrew Sieja in 2001. Visit each company's profile on Awaira for a full founder biography.
What does Casetext do vs Relativity?
Casetext: Casetext is an AI-powered legal research and document automation platform founded in 2013. The company develops software that assists legal professionals with legal research, contract analysis, and document drafting through machine learning and natural language processing technologies. Its flagship product, CoCounsel, is an AI legal assistant that helps attorneys perform legal research, due diligence, and document review more efficiently. The platform integrates generative AI capabilities to analyze case law, statutes, and legal documents, enabling lawyers to reduce time spent on routine tasks and focus on higher-value work. Casetext positions itself in the legal AI market alongside competitors like LexisNexis, Westlaw, and newer entrants focused on AI-assisted legal work. The company has built its technology on proprietary legal databases and machine learning models trained on legal content. Its customer base includes law firms, in-house legal departments, and corporate legal teams seeking to modernize their research and document workflows. Founded with $64M in total funding, Casetext achieved a $700M valuation before being acquired, demonstrating significant growth in the legal technology sector. The acquisition reflects the increasing consolidation in legal AI as larger players and investors recognize the market opportunity. The company represents broader trends toward AI adoption in professional services, particularly in knowledge-intensive industries like law. Casetext pioneered accessible AI-assisted legal research for attorneys by combining generative AI with specialized legal training data. Relativity: Relativity is a cloud-based legal technology platform founded in 2001 that provides software solutions for legal discovery, case management, and document review. The company's core product, Relativity One, is a SaaS platform that enables law firms, corporations, and government agencies to manage large-scale document collections during litigation and investigations. The platform uses artificial intelligence and machine learning to automate document review, predict document relevance, and identify patterns across unstructured data. Relativity's RelativityAssist AI suite incorporates generative AI capabilities for legal workflows, including document summarization and contract analysis. The company serves major law firms, Fortune 500 companies, and government organizations globally. With a valuation of $3.6 billion as a private company, Relativity has established significant market presence in the legal tech sector. The platform processes billions of documents annually and handles complex eDiscovery workflows. Relativity competes against platforms like Everlaw, LexisNexis, and Thomson Reuters' legal solutions. The company has expanded beyond traditional eDiscovery into contract lifecycle management and legal operations. Growth has been driven by increasing demand for AI-assisted legal work and digital transformation in law departments. Relativity's ecosystem includes integrations with third-party applications and a developer community supporting customization and extension of platform capabilities. Relativity dominates the legal tech AI space by processing billions of documents annually through its cloud-native platform, making it essential infrastructure for large-scale legal operations.
Which company was founded first?
Relativity was founded first in 2001, giving it 12 years of additional market experience. Casetext was founded later in 2013. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.
Which company has more employees?
Casetext has approximately 120 employees, while Relativity has approximately 1750. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Casetext and Relativity competitors?
Yes, Casetext and Relativity are direct competitors — both operate in the AI Legal space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.