Zeer DISCO / intent / disco

DISCO

501-1000 employees·Austin, Texas, United States·csdisco.com

Observed, not inferred · updated weekly

Buying intent

74 tracked signals | Top 15 topics are below | Sales and Engineering are carrying most of it.

44signals · 30 days
45topics tracked
75%attributed to a team

Attention by team

LinkedIn activity, by team

Where DISCO'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
Legal Operations
Go to Market
Buyer Intent Data Tools
Document Review
Intent Data
Sales
High20% of team Sales to Artificial Intelligence: High, 20% of this team's signals
High27% of team Sales to Legal Operations: High, 27% of this team's signals
Medium13% of team Sales to Go to Market: Medium, 13% of this team's signals
Medium13% of team Sales to Buyer Intent Data Tools: Medium, 13% of this team's signals
Medium13% of team Sales to Document Review: Medium, 13% of this team's signals
Medium13% of team Sales to Intent Data: Medium, 13% of this team's signals
Engineering
High100% of team Engineering to Artificial Intelligence: High, 100% of this team's signals
Engineering to Legal Operations: no signal
Engineering to Go to Market: no signal
Engineering to Buyer Intent Data Tools: no signal
Engineering to Document Review: no signal
Engineering to Intent Data: no signal
Support
Medium100% of team Support to Artificial Intelligence: Medium, 100% of this team's signals
Support to Legal Operations: no signal
Support to Go to Market: no signal
Support to Buyer Intent Data Tools: no signal
Support to Document Review: no signal
Support to Intent Data: no signal
HR
Low100% of team HR to Artificial Intelligence: Low, 100% of this team's signals
HR to Legal Operations: no signal
HR to Go to Market: no signal
HR to Buyer Intent Data Tools: no signal
HR to Document Review: no signal
HR to Intent Data: no signal
Others
High43% of team Others to Artificial Intelligence: High, 43% of this team's signals
Others to Legal Operations: no signal
Low14% of team Others to Go to Market: Low, 14% of this team's signals
Low14% of team Others to Buyer Intent Data Tools: Low, 14% of this team's signals
Low14% of team Others to Document Review: Low, 14% of this team's signals
Low14% of team Others to Intent Data: Low, 14% 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
10d ago
Legal Operations
LinkedIn
Medium volume
98%
last
9d ago
Go to Market
LinkedIn
Low volume
98%
last
4d ago
Buyer Intent Data Tools
LinkedIn
Low volume
94%
last
4d ago
Document Review
LinkedIn
Low volume
97%
last
11d ago
Intent Data
LinkedIn
Low volume
96%
last
4d ago
Hiring
LinkedIn
Low volume
96%
last
18d ago
Cloud Computing
LinkedIn
Low volume
98%
last
31d ago
Career Development
LinkedIn
Low volume
91%
last
2d ago
Agentic AI System
LinkedIn
Low volume
98%
last
18d ago
Generative AI
LinkedIn
Low volume
98%
last
15d ago
Professional Development
LinkedIn
Low volume
98%
last
15d ago
Conversational AI Platform
LinkedIn
Low volume
98%
last
13d ago
Conversational AI
LinkedIn
Low volume
96%
last
13d ago
AI Platform
LinkedIn
Low volume
96%
last
13d ago

Need intent for a specific topic or industry?

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 DISCO

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.

Sales7 active
researching Legal Research Software
in
researching Account Executive
in
Executiveresearching Hiring
in
Directorresearching Legal Operations
in
researching Agentic AI System
in
researching Sales Enablement
in
Others6 active
researching Project Management
in
researching Intent Data
in
researching Artificial Intelligence
in
Senior Director of Engineering
Leadershipresearching Half-Life
in
Corporate Counsel
researching Artificial Intelligence
in
CEO and Board Director
researching Document Review
in
+ 3 more in Others
Engineering3 active
Machine Learning Scientist II
researching Generative AI
in
Senior Software Engineer
Senior ICresearching Artificial Intelligence
in
Principal Machine Learning Scientist
researching Career Development
in
+ 3 more in Engineering
Support1 active
Vice President, Customer Success
VPresearching Artificial Intelligence
in
+ 1 more in Support
HR1 active
Manager, Recruiting
Senior ICresearching Software Development
in
+ 1 more in HR

See everyone, not just the first 10

18 people across every department at DISCO, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

DISCO is a litigation technology company that helps top law firms and corporations take on their biggest cases. We streamline everything from data collection to fact investigation to document review — with AI-powered technology and a world-class services team.

New capability sought

Employee posts (LinkedIn)

Intent Data; Agentic AI System; Career Development; Cloud Computing; Legal Operations

Top accounts researching DISCO

names withheld on the public page

These are companies whose own people brought up DISCO 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

DISCO's own team shows 12 signals on this topic. No one outside DISCO has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Legal Operations559 cos · 1,242 people
  • Go to Market10,177 cos · 27,278 people
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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 DISCO.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Sales — 6 people; Leadership — 3 people; Data / Analytics — 2 people; Engineering — 2 people; HR / Talent — 1 person; Customer Success — 1 person

What's been said

public posts mentioning DISCO

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

LinkedIn

Just recently hit 4 Years at DISCO . In those 4 years ive become a go to resource for Construction, Intellectual property, In house counsel, and Antitrust litigation teams. People call me to get all things eDiscovery done. And the mustache still grows! Thank you to Meesha Gore and Bryant Consultants an Aperture Company for providing free headshots to the American Bar Association Forum on Construction Law .

May 2026
LinkedInArtificial Intelligence

Litigators don't just need to work faster—they need to win. The problem? Facts and law often live in separate silos, forcing legal teams to piece the puzzle together manually. Generic AI might help with speed, but it wasn't built for the complexities of a courtroom strategy. At DISCO, we are focused on seamlessly integrating your facts with the law. It’s not just about efficiency; it’s about giving litigators the context and clarity they need to build a winning case. See why "good enough" isn't enough for modern litigation: https://lnkd.in/gQsKJsSq #LegalTech #Litigation #AI #LawTech #DISCO

May 2026
LinkedIn

DISCO is the longest relationship I've ever had...coming up on 8 years and this is why... We'll always chart our own path. We'll never follow. And we do it together with some of the best minds in tech, product and legal. It's a great time to be in legal tech -- and it's about to get better.

May 2026
LinkedIn

Last month, we gathered 14 of DISCO 's top performers in the Grand Cayman Islands for our annual Circle of Excellence trip. The most rewarding part of this trip by far was getting to just be together and acknowledge the incredible work this team has put in. It’s truly a privilege to work alongside such a fabulous team, and while we still have a lot of road ahead in 2026, I couldn't be more excited for what’s to come. If you are a high-performer and are searching for a team that celebrates and invests in its people, I encourage you to check out our careers page: https://lnkd.in/ekVz4WZD #DISCO #Careers #LegalTech

May 2026
LinkedIn

View my verified achievement from DISCO .

May 2026
LinkedIn

We’re taking the DISCO Supper Club on the road again! Our Manchester event proved that some of the best insights happen over a great meal. I’m looking forward to connecting with Birmingham’s law firm leaders on 10 June to discuss the challenges and wins we’re seeing with GenAI. Hope to see you there! Register here: https://lnkd.in/gptGMzsc

May 2026
LinkedIn

Another great quarterly result for DISCO! Legal tech is changing fast, but DISCO is evolving even faster. A waiting list for Cecilia Advanced Research and AI interest generated a far better than expected uptake on the new DISCO Platform. More to come as we build AI for Litigators.

May 2026
LinkedInArtificial Intelligence

If you're working within the legacy world of ediscovery, Early Case Assessment (ECA) means managing two separate databases: one for the "Waiting Room" and one for your actual review. To get data into either one, you’re stuck paying some combination of "processing," "ingestion," and/or "promotion" fees. If the issues in the case change or the scope widens, you have to go back to the vendor and wait days for the data you already collected to be moved into your review database. ECA is a static decision made at the moment of maximum ignorance. At the start of a case, you know the least about your facts. Yet, that is exactly when legacy software forces you to make culling decisions. If a deposition six months from now reveals a new oral contract or a defective valve, your culled data is sitting in a completely separate database. People often fear AI because it feels like a "black box." But culling data into a separate silo based on a guess you made at the start of the case is the most dangerous black box of all! The industry told us we needed a Waiting Room for data and a Review Room. But that wall is a liability. In DISCO , ECA isn't a separate database; it's just a different tier in the same database. You load everything on day one. And just to be clear: we don’t charge an ingestion fee to get your data into ECA. So there’s no downside to having it all at your fingertips. You can run analytics, search, and tag across the entire collection. If the theory of your case changes, you just move it from ECA to Active. It takes a couple of minutes, happens in the same platform, and you don’t pay a "promotion" fee to do it. Culling becomes an informed decision you make after you've seen your data, not a blind bet you make before.

Apr 2026
LinkedInArtificial Intelligence

You shouldn’t have to move your documents just to use AI. Most "new school" legal AI products are largely just expensive wrappers around the same basic AI you can already get yourself. They take a model like Claude, put a nice-looking interface on it (it’s a pretty UI, I’ll give them that!), and charge you a premium for the convenience. Worse, they operate outside your actual ediscovery database. You have to upload your documents to their tool just for it to work. That's annoying, tedious, and, frankly, unnecessary. We take a different approach with DISCO . First of all, our AI, Cecilia, isn't built around a single model with a UI slapped on top. We use a variety of models within a custom-engineered framework specifically designed for evidence review. And, crucially, Cecilia lives inside the database where your ediscovery documents are already hosted. It works at ediscovery scale. (Of course, Cecilia supports scoping, so you can choose to limit it to a specific witness's documents, a production, or any other subset.) It's also agentic: it can perform multi-step investigations across the entire corpus—but, importantly, without you ever having to move data. Want Cecilia to review millions of emails with messy threads and then, a minute or two later, create a chronology for a certain issue based on those documents? It can do that—right within the review platform itself.

Apr 2026
Straight from DISCO: 4 earnings calls and filings read in full. Leadership's own words on the public record — not analyst commentary.

Budget pressure / cost-cutting signal

Earnings call; SEC filings

Cost of Revenue: 1,10,32,000 USD

About this data. DISCO (csdisco.com). Department attribution is 75%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries