Paxton Legal AI provides an AI-driven software platform for contract review, document drafting, and legal research. The platform is designed to assist lawyers and business professionals in handling legal tasks.

Paxton Legal AI

HEU is an AI-powered legal platform designed for businesses to create, manage, and sign contracts efficiently.

Paxton AI is an innovative legal technology firm transforming the legal landscape. Utilizing state-of-the-art generative AI, we equip legal professionals with an advanced, intuitive tool that expedites and simplifies legal research, contract drafting and contract review.

Our AI platform compiles a comprehensive spectrum of legal and regulatory information, including all state and federal laws and regulations, court rulings, and provides the capability for users to upload and leverage additional proprietary documents. Paxton AI goes beyond mere search functions. It can answer intricate queries, draft a range of legal materials, and provide insightful feedback on various types of documents.

Paxton AI

“Legal genAI company Paxton AI has announced it has achieved ‘93.82% average accuracy on tasks in the Stanford Legal Hallucination Benchmark’. The company has also launched its own ‘AI Confidence Indicator’ to help lawyers make an informed judgment as to the tool’s responses, (see more [at the link] below).”


https://lnkd.in/eCZgsBq3


#legaltechnology #genai Paxton AI

Adam Ziegler from Goodwin raises crucial points about the rapid evolution of LLMs in legal tech. At Paxton AI, we're actively addressing these challenges to stay at the forefront of AI-powered legal solutions.

We embrace the fast-paced nature of AI development, continuously refining our products to incorporate the latest advancements. Our team is dedicated to rapid iteration and improvement, ensuring that our clients always have access to cutting-edge technology.

Recognizing the potential drawbacks of long-term commitments in a rapidly changing field, we've designed our service models to be agile and adaptable. This approach allows our clients to benefit from ongoing improvements without feeling trapped by outdated technology.

Stability and consistency are paramount in legal tech. That's why we've implemented robust evaluation and observability measures. These protocols help us maintain reliability while pushing the boundaries of what's possible with AI in law.

When it comes to updating our AI engines, we prioritize a smooth user experience. While we're constantly enhancing our underlying technology, we take care to introduce new features gradually, ensuring that our users can adapt comfortably to improvements without disrupting their workflows.

At Paxton AI, we're committed to navigating the dynamic landscape of LLMs while delivering stable, effective, and innovative legal tech solutions.

I think many lawyers would be shocked how accurate AI tools are getting.*

Case in point: Paxton AI this week announced they hit ~94% accuracy on Stanford’s Legal Hallucination Benchmark.

• The Stanford Benchmark includes approx 700,000 legal tasks
• Tasks examples: citation retrieval, authorship, and ‘fake dissent’ trick questions.
• Paxton selected a sample of 1,600 tasks from this  and tested their tool, scoring an accuracy rate of over 93%

The data from these tests is published on Github - everyone can see.

If legal AI is going to work, we need to be able to rely on the outputs.  This level of transparency helps, as do external benchmarks. Further iterations like ‘confidence indicators’ will also help increase trust.

We have a long way to go with Legal AI. 

But honestly, I can’t believe these tools are this good, this early in the journey.

*Caveats:

• Yes - these are largely information extraction tasks. AI is not doing complex legal reasoning particularly well right now. 
• We should always be wary of vendors testing their own tech.
• Benchmarks are evolving - watch this space.

We're thrilled to share that Paxton AI's latest innovation, the Confidence Indicator, has been making waves in the legal tech community!

Here’s what industry experts are saying:

Artificial Lawyer reports on our outstanding 94% accuracy on the Stanford GenAI Benchmark, highlighting the robustness of our legal research tools.
Robert Ambrogi emphasizes our benchmarking data and the new Confidence Indicator, noting its potential to enhance how legal professionals trust AI outputs.
Law.com features insights on our initiative to bring transparency to AI accuracy in legal research, a crucial step forward in the industry.
Above the Law adds a lighter note, likening the Confidence Indicator to the traditional diligence of a meticulous first-year associate.

We are deeply thankful and grateful to be at the forefront of legal technology, providing tools that not only empower but also instill confidence. 🚀

#PaxtonAI #LegalTech #AI #Innovation #LegalResearch #ConfidenceIndicator #TransparencyInAI

Our Product Lead, Eddie Nasser is set to speak at Answering Legal, Inc's Law Firm Summer Reboot Camp in just a few hours!

Be sure to join this engaging panel discussion on the transformative impacts of Generative AI here: https://lnkd.in/ezJ9na3T

Today, Paxton AI announced the release of a new feature, called the Confidence Indicator, which rates every answer that Paxton AI’s legal research solution produces with a confidence level of low, medium or high, and recommends next steps. The company also announced that it has received a nearly 94% accuracy score on the Stanford Legal Hallucination Benchmark.
Article by Isha Marathe for Legaltech News | Law.com.

https://lnkd.in/ehabkpsd

Metric
Company Name	Paxton Legal AI	HEU
Symbol
MSH ID	AI:PAXTON	COM:HEULEGAL
Market	PRIVATE	PRIVATE
Sector	Technology	Commercial & Professional Services
Industry	Legal Technology	Legal Services
Country	US	IT
Stage
Employee Count	17
Website	paxton.ai	heulegal.com
LinkedIn	paxtonai
Founders

Metric
Market Cap
Enterprise Value
Monthly Web Traffic
Web Traffic Growth
Valuation
Raised Capital

Metric
Revenue
Revenue (LTM)
Revenue (NTM)
Gross Profit
EBITDA
Operating Income
Net Income
EPS
Diluted EPS
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

Metric
Revenue Growth (LTM)
Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin
Operating Profit Margin
EBITDA Margin
Net Profit Margin
Return on Equity
Return on Assets
Return on Capital Employed

AI:PAXTON

Paxton Legal AI

Company Overview

Market Metrics

Financial Performance

Growth Metrics

Profitability Ratios

Valuation Multiples

Operational Metrics

Cash Flow Metrics

Balance Sheet Metrics

Efficiency Metrics

Metric
P/E Ratio
P/B Ratio
Revenue Multiple (LTM)
Revenue Multiple (NTM)
EBITDA Multiple (LTM)
EBITDA Multiple (NTM)
Price to Sales Ratio
EV Multiple

Metric
Days Sales Outstanding
Days Payables Outstanding
Days Inventory Outstanding
Operating Cycle
Cash Conversion Cycle
Asset Turnover

Metric
Operating Cash Flow
Free Cash Flow
Cash Flow to Debt
Operating Cash Flow/Sales
Free Cash Flow Yield

Metric
Cash & Equivalents
Accounts Receivable
Inventory
Goodwill
Debt to Capitalization
Debt to Assets
Current Ratio
Quick Ratio

Metric
Rule of 40 (LTM)
Rule of 40 (NTM)
Stock Comp to Revenue
R&D to Revenue
SG&A to Revenue