Zeer EvenUp / intent / evenup

EvenUp

51-250 employees·San Francisco, California, United States·evenuplaw.com

Observed, not inferred · updated weekly

Buying intent

67 tracked signals | Top 15 topics are below | Sales and Operations are carrying most of it.

44signals · 30 days
38topics tracked
34.29%attributed to a team

Attention by team

LinkedIn activity, by team

Where EvenUp's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Hiring
Personal Injury
Venture Capital (VC)
Machine Learning
Software Development
Sales
Medium43% of team Sales to Artificial Intelligence: Medium, 43% of this team's signals
Sales to Hiring: no signal
Medium43% of team Sales to Personal Injury: Medium, 43% of this team's signals
Sales to Venture Capital (VC): no signal
Sales to Machine Learning: no signal
Low14% of team Sales to Software Development: Low, 14% of this team's signals
Operations
Low50% of team Operations to Artificial Intelligence: Low, 50% of this team's signals
Low25% of team Operations to Hiring: Low, 25% of this team's signals
Operations to Personal Injury: no signal
Operations to Venture Capital (VC): no signal
Low25% of team Operations to Machine Learning: Low, 25% of this team's signals
Operations to Software Development: no signal
Engineering
Low100% of team Engineering to Artificial Intelligence: Low, 100% of this team's signals
Engineering to Hiring: no signal
Engineering to Personal Injury: no signal
Engineering to Venture Capital (VC): no signal
Engineering to Machine Learning: no signal
Engineering to Software Development: no signal
Others
High39% of team Others to Artificial Intelligence: High, 39% of this team's signals
High30% of team Others to Hiring: High, 30% of this team's signals
Low4% of team Others to Personal Injury: Low, 4% of this team's signals
Medium13% of team Others to Venture Capital (VC): Medium, 13% of this team's signals
Low9% of team Others to Machine Learning: Low, 9% of this team's signals
Low4% of team Others to Software Development: Low, 4% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
2d ago
Hiring
LinkedIn
Medium volume
92%
last
5d ago
Personal Injury
LinkedIn
Low volume
98%
last
5d ago
Venture Capital (VC)
LinkedIn
Low volume
91%
last
4d ago
Machine Learning
LinkedIn
Low volume
98%
last
17d ago
Software Development
LinkedIn
Low volume
96%
last
2d ago
Third-Party Vendors
LinkedIn
Low volume
94%
last
15d ago
Business Outcomes
LinkedIn
Low volume
98%
last
29d ago
Enterprise Data Management
LinkedIn
Low volume
98%
last
26d ago
Intellectual Property
LinkedIn
Low volume
96%
last
15d ago
Legal
LinkedIn
Low volume
98%
last
23d ago
Angel Investors
LinkedIn
Low volume
83%
last
4d ago
Practice of Law
LinkedIn
Low volume
98%
last
11d ago
Career page
LinkedIn
Low volume
98%
last
5d ago
Insurance Defense
LinkedIn
Low volume
98%
last
9d ago

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We track the full taxonomy across every account in the graph — including themes not shown on this page.

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Who's active at EvenUp

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others13 active
Directorresearching Artificial Intelligence
in
Senior ICresearching Hiring
in
researching Artificial Intelligence
in
Leadershipresearching Venture Capital (VC)
in
researching Artificial Intelligence
in
Senior ICresearching Hiring
in
Senior ICresearching Pharmaceutical
in
researching Hiring
in
Corporate Controller
researching Accounting
in
Legal Nurse Consultant
researching Career Development
in
Account Executive
researching Artificial Intelligence
in
Title not on file
researching Sales Process
in
+ 3 more in Others
Sales6 active
Sales Development Representative
researching Personal Injury
in
Sales Leader - Northeast
Directorresearching Business Outcomes
in
Senior Account Executive
Senior ICresearching Software Development
in
Account Executive
researching Pop-Up
in
Senior Director, Revenue Marketing
Directorresearching Court Reporting
in
Senior Vice President of Sales
researching Artificial Intelligence
in
+ 6 more in Sales
Operations2 active
Workplace Operations Lead
researching Hiring
in
Legal Operations Associate
researching Artificial Intelligence
in
+ 2 more in Operations
Engineering1 active
Senior Software Engineer
researching Artificial Intelligence
in
+ 1 more in Engineering
Support1 active
Enterprise Customer Success Manager
researching Insurance Defense
in
+ 1 more in Support

See everyone, not just the first 10

23 people across every department at EvenUp, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

EvenUp is the leading proactive AI platform for personal injury law, the first of its kind, built on the largest personal injury dataset. Trusted by 2,000+ firms, EvenUp helps legal teams run casework like clockwork—drafting documents, automating workflows, and maximizing the outcome of every case from intake to resolution.

New capability sought

Employee posts (LinkedIn)

Venture Capital (VC)

Top accounts researching EvenUp

names withheld on the public page

These are companies whose own people brought up EvenUp unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

EvenUp's own team shows 15 signals on this topic. No one outside EvenUp has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Hiring66,174 cos · 318,882 people
  • Personal Injury552 cos · 1,739 people
Sign up to see which companies →

Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching EvenUp.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Sales — 6 people; HR / Talent — 3 people; Operations — 2 people; Finance — 1 person; Customer Success — 1 person; Engineering — 1 person

What's been said

public posts mentioning EvenUp

Up to 9 public excerpts naming EvenUp from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedIn

What does it look like when a PI firm goes from firefighting to 400% revenue growth in a year? @ELG Injury Lawyers has been building with @EvenUp since 2021, and their story is one of our favorites. Read it here!

May 2026
LinkedIn

TORONTO TORONTO TORONTO! Why I love this city so much is because THEY SHOW UP, AND THEY SHOW LOVE! Back in late March, Saam Mashhad threw out an idea of running our first-ever hackathon here at EvenUp . To be honest, I had never thrown one and had no clue what to expect. But what I did know is two things: the team here just makes things happen, and Toronto is filled with engineers who want to show up and show out. And show out they did. We had over 400 people reach out about the hackathon, and we ended up inviting 42 members to solve real-life challenges within the legal tech space. We were super impressed with what teams of complete strangers were able to build in just 8 hours. It was truly something to marvel at. There are many more to come here at EvenUp . We are just getting started.

May 2026
LinkedInArtificial Intelligence

Let's Get Ready to Rumble!!!!!! 🥊 What a week at the Texas Lawyer Rumble! 🥂 Between hosting our happy hour and teaching firms about the latest AI breakthroughs for Personal Injury, the EvenUp team had a blast. It’s inspiring to see so many firms ready to embrace the future of legal tech to drive better results for their clients. Shoutout to everyone who came through! Hope you enjoyed the EvenUp swag and let’s keep the conversation going! If you missed us at the event and want to chat about AI for PI, my DMs are open. S/O to my amazing colleagues: Aaron Michalowski , Ben Zats , Ashley Owens - Networking Concierge®️ , Ali Abdulghani #TexasLawyerRumble #EvenUp #AIforPI #LegalTech #PersonalInjury

Apr 2026
LinkedIn

Toronto engineers and ML/GenAI builders: if you want to ship GenAI that’s reshaping legal at a company in hypergrowth, come hang with us at Raise the Bar: Engineering the Future at EvenUp (Thu, Feb 19 · 6–8pm · 37 Front St E). Food + drinks on us, and several EvenUp leaders will be in town. Spots are limited. RSVP: https://luma.com/1f4bkesk #Engineering #MachineLearning #GenAI

Jan 2026
LinkedIn

Deploying customer-facing AI agents that actually work in the wild is still one of the hardest open problems in our field. That’s why I’m thrilled to share that Dr. Zhou (Jo) Yu — CS Professor at Columbia University and Co-founder of Arklex.ai — will be joining us for the next EvenUp Distinguished Speaker Series to talk about: “Deploying Customer-Facing AI Agents That Actually Work” 📅 Thursday, December 11 ⏰ 12:00 PM – 1:00 PM PST 📍 Virtual (Zoom) Most companies are stuck in the AI “pilot loop”: endless POCs, flashy demos, and agents that never quite reach human-level performance. Dr. Yu has actually broken that loop. Her work spans award-winning dialogue systems (including the Amazon Alexa Prize), best-paper-winning research at top NLP venues, and real-world AI products through Arklex.ai. This talk is for you if you’re: - Building or owning customer experience in retail, fintech, or services Leading GenAI / ML teams and tired of “demo-ware” - An engineer or researcher working on LLM agents, dialogue systems, or automation 🔗 Registration: The event is free but registration is required. Please register via the link in the comments / description to receive the Zoom details. Hope to see you there.

Nov 2025
LinkedIn

The EvenUp Distinguished Speaker Series is back with an unmissable event! If you’re passionate about fine-tuning large language models (LLMs), optimizing model behavior, or improving data quality, this is the talk you can’t miss. 🔥 We’re thrilled to host Dr. Andrew Ilyas from Carnegie Mellon University to dive deep into the cutting-edge work on predicting and optimizing the behavior of ML models. 🗓 Date: Thursday, Oct 30 ⏰ Time: 11:00 AM–12:00 PM PDT 📍 Location: Zoom (link in the comments) Why Attend? 🧐 * Data Counterfactuals: Learn how modifying training data changes model behavior, and how this can be used to your advantage. * Outcome-Driven Design: Discover how to craft datasets to get the exact behavior you want from your models. * State-of-the-Art Tools: Explore data selection, attribution, and cutting-edge poisoning detection methods. If you’re serious about LLM quality, fine-tuning strategies, or MLOps, this is a MUST-ATTEND session. 🔁 Spread the word: Share this with your team, colleagues, and anyone else in the GenAI field! 📝 Don’t wait — REGISTER NOW (link in the first comment). Let’s optimize together! 👇 #GenAI #MachineLearning #FineTuning #LLMs #DataQuality #MLOps #AIResearch #CMU #EvenUp

Oct 2025
LinkedIn

GenAI companies, EvenUp included, often win or lose on fine-tuning LLMs. That’s exactly why our EvenUp Distinguished Speaker Series is bringing in one of the best minds in the field. Speaker: Dr. Andrew Ilyas (Carnegie Mellon University) Talk: Predicting and Optimizing the Behavior of ML Models 📅 Thursday, Oct 30 | ⏰ 11:00 AM–12:00 PM PDT | 📍 Zoom Why this matters (and why you should come): • Counterfactuals for data — quantify how changing training data shifts model behavior • Design for outcomes — craft datasets to elicit the behaviors you actually want • State-of-the-art tools — selection, attribution, and even poisoning detection/robustness If you care about LLM quality, fine-tuning strategy, data flywheels, or MLOps impact, this is a must-attend. 🔁 Please share with your team and network. 📝 Registration link in the first comment. #GenAI #MachineLearning #FineTuning #LLMs #DataQuality #MLOps #AIResearch #CMU #EvenUp

Oct 2025
LinkedIn

Reminder: Thursday, Oct 16 EvenUp is kicking off our Distinguished Speaker Series — a new public program bringing leading thinkers, researchers, and innovators directly to you. Join us live on Zoom! 🎙️ Inaugural Speaker: Prof. Jimeng Sun (UIUC) — one of the world’s foremost researchers in Healthcare AI 🧠 Topic: Clinical Predictive Modeling & Patient Journey Prediction 📅 Date: Thursday, Oct 16 🕚 Time: 11:00 AM – 12:00 PM PDT 🔗 Register: https://luma.com/vi4r4u67 Why you should attend: With the rise of Generative AI, breakthroughs like patient journey prediction are moving from research to real-world impact. These advances promise to transform: - Legal tech — stronger evidence and fairer case outcomes - Patient outcomes — earlier, more accurate insights - Healthcare delivery — smarter, data-driven decisions Don’t miss this chance to hear from a world-class expert and explore how GenAI is reshaping both healthcare and law. #AI #HealthcareAI #GenerativeAI #LegalTech #EvenUp #SpeakerSeries

Oct 2025
LinkedIn

Across industries — from law and healthcare to insurance and finance — the lifeblood of business remains trapped in documents: PDFs, scans, charts, handwritten notes, and screenshots. In personal injury law, a single case can span thousands of pages of police reports, medical records, bills, and adjuster notes. EvenUp’s AI reads and reasons across these documents to extract facts, timelines, and evidence at scale. By transforming unstructured information into structured data, we lay the groundwork for the insights, automation, and actions that will define the next era of legal operations. Discover how we’re advancing document intelligence in our latest blog: 👉 https://lnkd.in/gGXhqmAJ

Oct 2025

About this data. EvenUp (evenuplaw.com). Department attribution is 34.29%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries