fresh
Legora is the collaborative AI powering lawyers to review and research faster, draft smarter, and advise with precision. Legora adapts to your ways of working, unlocking team and machine collaboration observed
No person- or entity-level identity check is on record for this company. A name match is not one.
The inclusion bar: two or more independent sourced evidence families. This profile is published and listed. It is a statement about how much evidence we hold, and about nothing else.
We have not established fit. That is not a soft no and not a soft yes — it is unknown, and it is never counted as a qualified prospect.
Counted from the company's own job board — each point a dated observation.
Subdomains appearing in public certificate-transparency logs — infrastructure standing up, dated at detection. Intent labels are deterministic (token map), not guessed.
No standout signal or flag yet.
No single number decides. Layers can disagree — that's the point. New to this? →
The platform's own early signals for this company — hard-to-fake, and where one preceded a real raise, the measured lead.
a demo is one thing but what matters most is an associate who reaches for it at 2 in the morning during a closing or whether a general counsel trusts what it says before the board meeting
today over 100,000 legal professionals at more than 1800 law firms and in-house legal teams in over 50 markets use Legora and when Legora goes head to head with its top competitor and a pilot it wins 70% of the time
every legal team can get access to the same AI models so the models themselves do not give you an edge what you can do with your own data people playbooks that's the whole game
and playbooks every finding is sourced the lawyer directs the work and signs off before the system executes any steps
the product has gotten very powerful in a short period of time a year ago the goal was a good answer from a chatbot with the Legora agent you hand it the work and it comes back with a plan tasks like running diligence on a data room or reviewing a new vendor contract get completed inside the tool you use every day like Microsoft Word and against your own precedents
a couple of thousands of enterprise customers and a hundred thousand users later they still work that way they employ a hundred legal engineers on staff these are lawyers sitting inside of firms and legal departments to deploy Legora onto live situations
the team moved into the office of a big law firm in Stockholm and learned for months how the work actually gets done
I think they are very, you know, in the forefront of how to go about things, which is inspiring for other companies. And I think they also set the bar a bit high, which is great.
people that are, you know, have worked at Lovable and Legora seem to be very entrepreneurial-driven and keen to start their own companies.
Stockholm School of Economics, where they have this incubator where Klarna was founded and sort of incubated in Legora as well, Voi as well.
you still have a huge data warehousing project at a top bank or a telco that's going to be driven by an engineer or developer and there's still going to be a human that's making that architectural decision on are they going to use click house are they going to use snowflake are they going to use databricks
if you can maintain a competitive advantage with your cloud offering or your proprietary features that are very very difficult to replicate then you can maintain that moat
open source aids in that because you can get started without any sort of vendor relationship PLG products like Datadog and ClickHouse aid in the fact that you can just spin up an environment without ever talking to anybody in the sales organization you can have this frictionless experience to where you can evaluate deploy scale the your business
Legora could be a bigger company than Harvey a year from now
So when you're a lawyer and you're talking to your main assistant about legal things, it's immediately just talking to Legora, right? Because, and that might be your work agent, right? If you're a lawyer, because there's a bunch of data privacy and privilege and reasons why your work scenarios need to be handled differently.
the competitor I would worry the most about would be, would be probably for personal use cases, it would be meta and WhatsApp, right? They're going to have a personal assistant that's going to come in WhatsApp.
one of the features of town that users who figure out how to use it, they love it the most is something called agent to agent... that is a network effect. Once you have your whole team on that, it's actually really difficult to imagine moving to a different product.
Town is great, but we have a lot of work to do to make it a true mainstream product.
the prototype, we built a quick prototype in a couple of weeks and it had product market fit almost immediately.
And if it's Harvey or Lagora or the next wave, and I'm literally every hour I'm not in court, and the way you can tell is if at night they're on their laptop with the agent every minute, right, until they go to bed. That's what I think Harry's describing. This is this persistent agent that lives with you.
It might be like Harvey and Legora end up doing 95% of what humans used to do. And the best humans are compressed into the five amount, the 5% that moves the needle versus spending weeks on research and weeks on brief writing and weeks on case law from the 1872 when the SS Jonas fell off, sunk off the coast of North Carolina. How does that impact case law in the Northern districts of California? There's no point in having humans do that crap anymore, right?
I think on legal, it's about 10%. In other words, I love Harvey and Legora. I love GCAI, right? But the annual subscription per lawyer, it's 10, 12K plus or minus. And these lawyers are getting paid 200K plus. So it's 5%.
I now dramatically think these companies are underpriced. If coding is a half a trillion dollar market, and you have two companies like Harvey and Legora, I don't see why there's not a half trillion dollar market in law.
Gray-market attention, not quality. 2+ HN mentions (peak 1 points). Claim-shaped headlines are rumors until corroborated — a Tier-3 factual claim carries no evidentiary weight on its own. ▲ 1 I built an open source Harvey/Legora in two weeks 2026-04-29 ↗
| Attribute | Value | Kind | Source | Observed | State | Conf. |
|---|---|---|---|---|---|---|
common_name | Ligora | observed | artifact ↗ | 2026-07-18 | normalized | 0.60 |
common_name | Legora | observed | artifact ↗ | 2026-07-18 | normalized | 0.60 |
common_name | Legora | observed | artifact ↗ | 2026-07-24 | normalized | 0.60 |
community.hn.max_points | 501 | observed | artifact ↗ | 2026-07-18 | superseded | 0.20 |
community.hn.max_points | 85 | observed | artifact ↗ | 2026-07-18 | normalized | 0.20 |
community.hn.max_points | 1 | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.mentions | 50 | observed | artifact ↗ | 2026-07-18 | superseded | 0.20 |
community.hn.mentions | 50 | observed | artifact ↗ | 2026-07-18 | normalized | 0.20 |
community.hn.mentions | 2 | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-07-18 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-07-18 | normalized | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-08-16 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-06-18 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-06-18 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-06-18 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-06-18 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-06-18 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=48592589", "title": "A $5.6B valuation and rapid global expansion", "points": 1, "created_at": "2026-06-18", "evidence_type": "rumor", "verification_stat | observed | artifact ↗ | 2026-06-18 | superseded | 0.20 |
community.hn.rumors | [] | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2026-07-18 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=38934270", "title": "SSH-Snake: Automatic traversal of networks using SSH private keys", "points": 85, "created_at": "2024-01-10"} | observed | artifact ↗ | 2026-07-18 | normalized | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2026-08-16 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2022-03-01 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2022-03-01 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2022-03-01 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2022-03-01 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2022-03-01 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=30512512", "title": "Things you don't need JavaScript for", "points": 501, "created_at": "2022-03-01"} | observed | artifact ↗ | 2022-03-01 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=47949270", "title": "I built an open source Harvey/Legora in two weeks", "points": 1, "created_at": "2026-04-29"} | observed | artifact ↗ | 2026-04-29 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=47949270", "title": "I built an open source Harvey/Legora in two weeks", "points": 1, "created_at": "2026-04-29"} | observed | artifact ↗ | 2026-04-29 | normalized | 0.20 |
description | They have forward-deployed lawyers called legal engineers to help transform law firms. | observed | artifact ↗ | 2026-07-18 | normalized | 0.60 |
description | Works with governments and hosts National Secrets and weapons manufacturers' contracts. | observed | artifact ↗ | 2026-07-18 | normalized | 0.60 |
description | Legora is the collaborative AI powering lawyers to review and research faster, draft smarter, and advise with precision. Legora adapts to your ways of working, unlocking team and machine collaboration | observed | artifact ↗ | 2026-07-24 | normalized | 0.70 |
domain | legora.com | observed | artifact ↗ | 2026-07-24 | normalized | 0.95 |
index.ai_tie | PURE_AI | observed | classify | 2026-07-25 | derived | 0.60 |
jobs.board_url | https://jobs.ashbyhq.com/legora | observed | artifact ↗ | 2026-08-28 | normalized | 0.85 |
jobs.postings.engineering | 103 | observed | artifact ↗ | 2026-08-28 | superseded | 0.85 |
jobs.postings.engineering | 104 | observed | artifact ↗ | 2026-08-31 | superseded | 0.85 |
jobs.postings.engineering | 107 | observed | artifact ↗ | 2026-09-02 | superseded | 0.85 |
jobs.postings.engineering | 108 | observed | artifact ↗ | 2026-09-05 | superseded | 0.85 |
jobs.postings.engineering | 107 | observed | artifact ↗ | 2026-09-08 | superseded | 0.85 |
jobs.postings.engineering | 106 | observed | artifact ↗ | 2026-09-10 | superseded | 0.85 |
jobs.postings.engineering | 107 | observed | artifact ↗ | 2026-09-11 | superseded | 0.85 |
jobs.postings.engineering | 109 | observed | artifact ↗ | 2026-09-12 | superseded | 0.85 |
jobs.postings.engineering | 105 | observed | artifact ↗ | 2026-09-14 | superseded | 0.85 |
jobs.postings.engineering | 104 | observed | artifact ↗ | 2026-09-16 | superseded | 0.85 |
jobs.postings.engineering | 103 | observed | artifact ↗ | 2026-09-17 | superseded | 0.85 |
jobs.postings.engineering | 104 | observed | artifact ↗ | 2026-09-18 | superseded | 0.85 |
jobs.postings.engineering | 107 | observed | artifact ↗ | 2026-09-21 | superseded | 0.85 |
jobs.postings.engineering | 109 | observed | artifact ↗ | 2026-09-24 | superseded | 0.85 |
jobs.postings.engineering | 103 | observed | artifact ↗ | 2026-09-28 | superseded | 0.85 |
jobs.postings.engineering | 104 | observed | artifact ↗ | 2026-10-01 | superseded | 0.85 |
jobs.postings.engineering | 106 | observed | artifact ↗ | 2026-10-09 | normalized | 0.85 |
jobs.postings.total | 277 | observed | artifact ↗ | 2026-08-28 | superseded | 0.85 |
jobs.postings.total | 280 | observed | artifact ↗ | 2026-08-29 | superseded | 0.85 |
jobs.postings.total | 281 | observed | artifact ↗ | 2026-08-31 | superseded | 0.85 |
jobs.postings.total | 278 | observed | artifact ↗ | 2026-09-02 | superseded | 0.85 |
jobs.postings.total | 276 | observed | artifact ↗ | 2026-09-03 | superseded | 0.85 |
jobs.postings.total | 282 | observed | artifact ↗ | 2026-09-04 | superseded | 0.85 |
jobs.postings.total | 283 | observed | artifact ↗ | 2026-09-05 | superseded | 0.85 |
jobs.postings.total | 282 | observed | artifact ↗ | 2026-09-07 | superseded | 0.85 |
jobs.postings.total | 280 | observed | artifact ↗ | 2026-09-08 | superseded | 0.85 |
jobs.postings.total | 282 | observed | artifact ↗ | 2026-09-10 | superseded | 0.85 |
jobs.postings.total | 283 | observed | artifact ↗ | 2026-09-11 | superseded | 0.85 |
jobs.postings.total | 286 | observed | artifact ↗ | 2026-09-12 | superseded | 0.85 |
jobs.postings.total | 281 | observed | artifact ↗ | 2026-09-14 | superseded | 0.85 |
jobs.postings.total | 279 | observed | artifact ↗ | 2026-09-15 | superseded | 0.85 |
jobs.postings.total | 282 | observed | artifact ↗ | 2026-09-16 | superseded | 0.85 |
jobs.postings.total | 276 | observed | artifact ↗ | 2026-09-17 | superseded | 0.85 |
jobs.postings.total | 275 | observed | artifact ↗ | 2026-09-19 | superseded | 0.85 |
jobs.postings.total | 280 | observed | artifact ↗ | 2026-09-21 | superseded | 0.85 |
jobs.postings.total | 282 | observed | artifact ↗ | 2026-09-22 | superseded | 0.85 |
jobs.postings.total | 284 | observed | artifact ↗ | 2026-09-23 | superseded | 0.85 |
jobs.postings.total | 280 | observed | artifact ↗ | 2026-09-24 | superseded | 0.85 |
jobs.postings.total | 277 | observed | artifact ↗ | 2026-09-25 | superseded | 0.85 |
jobs.postings.total | 273 | observed | artifact ↗ | 2026-09-28 | superseded | 0.85 |
jobs.postings.total | 276 | observed | artifact ↗ | 2026-09-30 | superseded | 0.85 |
jobs.postings.total | 279 | observed | artifact ↗ | 2026-10-01 | superseded | 0.85 |
jobs.postings.total | 282 | observed | artifact ↗ | 2026-10-09 | superseded | 0.85 |
jobs.postings.total | 290 | observed | artifact ↗ | 2026-10-10 | normalized | 0.85 |
sector | emerging | derived | calc | 2026-08-08 | normalized | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "I now dramatically think these companies are underpriced. If coding is a half a trillion dollar market, and you have t | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "I think on legal, it's about 10%. In other words, I love Harvey and Legora. I love GCAI, right? But the annual subscri | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "It might be like Harvey and Legora end up doing 95% of what humans used to do. And the best humans are compressed into | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "And if it's Harvey or Lagora or the next wave, and I'm literally every hour I'm not in court, and the way you can tell | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "the prototype, we built a quick prototype in a couple of weeks and it had product market fit almost immediately.", "st | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "Town is great, but we have a lot of work to do to make it a true mainstream product.", "stance": "neutral", "confidenc | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "one of the features of town that users who figure out how to use it, they love it the most is something called agent t | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "the competitor I would worry the most about would be, would be probably for personal use cases, it would be meta and W | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "So when you're a lawyer and you're talking to your main assistant about legal things, it's immediately just talking to | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "Legora could be a bigger company than Harvey a year from now", "stance": "bullish", "confidence": 0.3, "signal_class": | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "open source aids in that because you can get started without any sort of vendor relationship PLG products like Datadog | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "if you can maintain a competitive advantage with your cloud offering or your proprietary features that are very very d | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "you still have a huge data warehousing project at a top bank or a telco that's going to be driven by an engineer or de | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "Stockholm School of Economics, where they have this incubator where Klarna was founded and sort of incubated in Legora | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "people that are, you know, have worked at Lovable and Legora seem to be very entrepreneurial-driven and keen to start | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "I think they are very, you know, in the forefront of how to go about things, which is inspiring for other companies. A | observed | artifact ↗ | 2026-10-08 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "I now dramatically think these companies are underpriced. If coding is a half a trillion dollar market, and you have t | observed | artifact ↗ | 2026-09-10 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "I think on legal, it's about 10%. In other words, I love Harvey and Legora. I love GCAI, right? But the annual subscri | observed | artifact ↗ | 2026-09-10 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "It might be like Harvey and Legora end up doing 95% of what humans used to do. And the best humans are compressed into | observed | artifact ↗ | 2026-09-10 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "And if it's Harvey or Lagora or the next wave, and I'm literally every hour I'm not in court, and the way you can tell | observed | artifact ↗ | 2026-09-10 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "the prototype, we built a quick prototype in a couple of weeks and it had product market fit almost immediately.", "st | observed | artifact ↗ | 2026-09-07 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "Town is great, but we have a lot of work to do to make it a true mainstream product.", "stance": "neutral", "confidenc | observed | artifact ↗ | 2026-09-07 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "one of the features of town that users who figure out how to use it, they love it the most is something called agent t | observed | artifact ↗ | 2026-09-07 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "the competitor I would worry the most about would be, would be probably for personal use cases, it would be meta and W | observed | artifact ↗ | 2026-09-07 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "So when you're a lawyer and you're talking to your main assistant about legal things, it's immediately just talking to | observed | artifact ↗ | 2026-09-07 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "Legora could be a bigger company than Harvey a year from now", "stance": "bullish", "confidence": 0.3, "signal_class": | observed | artifact ↗ | 2026-08-31 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "open source aids in that because you can get started without any sort of vendor relationship PLG products like Datadog | observed | artifact ↗ | 2026-08-31 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "if you can maintain a competitive advantage with your cloud offering or your proprietary features that are very very d | observed | artifact ↗ | 2026-08-31 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "you still have a huge data warehousing project at a top bank or a telco that's going to be driven by an engineer or de | observed | artifact ↗ | 2026-08-31 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "Stockholm School of Economics, where they have this incubator where Klarna was founded and sort of incubated in Legora | observed | artifact ↗ | 2026-08-26 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "people that are, you know, have worked at Lovable and Legora seem to be very entrepreneurial-driven and keen to start | observed | artifact ↗ | 2026-08-26 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "I think they are very, you know, in the forefront of how to go about things, which is inspiring for other companies. A | observed | artifact ↗ | 2026-08-26 | superseded | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "I now dramatically think these companies are underpriced. If coding is a half a trillion dollar market, and you have t | observed | artifact ↗ | 2026-09-10 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "I think on legal, it's about 10%. In other words, I love Harvey and Legora. I love GCAI, right? But the annual subscri | observed | artifact ↗ | 2026-09-10 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "It might be like Harvey and Legora end up doing 95% of what humans used to do. And the best humans are compressed into | observed | artifact ↗ | 2026-09-10 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EAMVPX2BM5846AS36T948S", "signals": [{"quote": "And if it's Harvey or Lagora or the next wave, and I'm literally every hour I'm not in court, and the way you can tell | observed | artifact ↗ | 2026-09-10 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "the prototype, we built a quick prototype in a couple of weeks and it had product market fit almost immediately.", "st | observed | artifact ↗ | 2026-09-07 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "Town is great, but we have a lot of work to do to make it a true mainstream product.", "stance": "neutral", "confidenc | observed | artifact ↗ | 2026-09-07 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "one of the features of town that users who figure out how to use it, they love it the most is something called agent t | observed | artifact ↗ | 2026-09-07 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "the competitor I would worry the most about would be, would be probably for personal use cases, it would be meta and W | observed | artifact ↗ | 2026-09-07 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EHF1AA0T3CW899BFEA6P2R", "signals": [{"quote": "So when you're a lawyer and you're talking to your main assistant about legal things, it's immediately just talking to | observed | artifact ↗ | 2026-09-07 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "Legora could be a bigger company than Harvey a year from now", "stance": "bullish", "confidence": 0.3, "signal_class": | observed | artifact ↗ | 2026-08-31 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "open source aids in that because you can get started without any sort of vendor relationship PLG products like Datadog | observed | artifact ↗ | 2026-08-31 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "if you can maintain a competitive advantage with your cloud offering or your proprietary features that are very very d | observed | artifact ↗ | 2026-08-31 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4EMNT3SDBRYPAQ1RCZZ7T4G", "signals": [{"quote": "you still have a huge data warehousing project at a top bank or a telco that's going to be driven by an engineer or de | observed | artifact ↗ | 2026-08-31 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "Stockholm School of Economics, where they have this incubator where Klarna was founded and sort of incubated in Legora | observed | artifact ↗ | 2026-08-26 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "people that are, you know, have worked at Lovable and Legora seem to be very entrepreneurial-driven and keen to start | observed | artifact ↗ | 2026-08-26 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4ER1W3Y863T0C10WHDTGCQE", "signals": [{"quote": "I think they are very, you know, in the forefront of how to go about things, which is inspiring for other companies. A | observed | artifact ↗ | 2026-08-26 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4GMPKZ5G4BVWS8GW0K3R6V8", "signals": [{"quote": "the team moved into the office of a big law firm in Stockholm and learned for months how the work actually gets done", | observed | artifact ↗ | 2025-07-16 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4GMPKZ5G4BVWS8GW0K3R6V8", "signals": [{"quote": "a couple of thousands of enterprise customers and a hundred thousand users later they still work that way they employ | observed | artifact ↗ | 2025-07-16 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4GMPKZ5G4BVWS8GW0K3R6V8", "signals": [{"quote": "the product has gotten very powerful in a short period of time a year ago the goal was a good answer from a chatbot wi | observed | artifact ↗ | 2025-07-16 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4GMPKZ5G4BVWS8GW0K3R6V8", "signals": [{"quote": "and playbooks every finding is sourced the lawyer directs the work and signs off before the system executes any steps" | observed | artifact ↗ | 2025-07-16 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4GMPKZ5G4BVWS8GW0K3R6V8", "signals": [{"quote": "every legal team can get access to the same AI models so the models themselves do not give you an edge what you can do | observed | artifact ↗ | 2025-07-16 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4GMPKZ5G4BVWS8GW0K3R6V8", "signals": [{"quote": "today over 100,000 legal professionals at more than 1800 law firms and in-house legal teams in over 50 markets use Leg | observed | artifact ↗ | 2025-07-16 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4GMPKZ5G4BVWS8GW0K3R6V8", "signals": [{"quote": "a demo is one thing but what matters most is an associate who reaches for it at 2 in the morning during a closing or w | observed | artifact ↗ | 2025-07-16 | promoted | 0.50 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/The_Trio_EP.73.mp3 — legora", "source_id": "01M3V4FSDNEY3F5JEQCBAM7CT4-m-22dc02488a037639", "extract_ref": "artifact:sha256:80 | observed | artifact ↗ | 2026-10-01 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/Jean-Denis_Greze__Town.mp3 — legora", "source_id": "01M3VBBFQWA9WQ9R74GWX2ZSB6-m-22dc02488a037639", "extract_ref": "artifact:s | observed | artifact ↗ | 2026-10-01 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/Aaron_Katz__ClickHouse.mp3 — legora", "source_id": "01M3VWGSXQZKSE9N13PK2FE5NS-m-22dc02488a037639", "extract_ref": "artifact:s | observed | artifact ↗ | 2026-10-01 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.megaphone.fm/TCML1990412598.mp3 — legora", "source_id": "01M3W3CHRS0MXDV35ZQ1RWWTQ3-m-22dc02488a037639", "extract_ref": "artifact:sha256:355a117f7210ff18e2abe9ff0 | observed | artifact ↗ | 2026-10-01 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/The_Trio_EP.73.mp3 — legora", "source_id": "01M3V4FSDNEY3F5JEQCBAM7CT4-m-22dc02488a037639", "extract_ref": "artifact:sha256:80 | observed | artifact ↗ | 2026-09-10 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/Jean-Denis_Greze__Town.mp3 — legora", "source_id": "01M3VBBFQWA9WQ9R74GWX2ZSB6-m-22dc02488a037639", "extract_ref": "artifact:s | observed | artifact ↗ | 2026-09-07 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/Aaron_Katz__ClickHouse.mp3 — legora", "source_id": "01M3VWGSXQZKSE9N13PK2FE5NS-m-22dc02488a037639", "extract_ref": "artifact:s | observed | artifact ↗ | 2026-08-31 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.megaphone.fm/TCML1990412598.mp3 — legora", "source_id": "01M3W3CHRS0MXDV35ZQ1RWWTQ3-m-22dc02488a037639", "extract_ref": "artifact:sha256:355a117f7210ff18e2abe9ff0 | observed | artifact ↗ | 2026-08-26 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/The_Trio_EP.73.mp3 — legora", "source_id": "01M3V4FSDNEY3F5JEQCBAM7CT4-m-22dc02488a037639", "extract_ref": "artifact:sha256:80 | observed | artifact ↗ | 2026-09-10 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/Jean-Denis_Greze__Town.mp3 — legora", "source_id": "01M3VBBFQWA9WQ9R74GWX2ZSB6-m-22dc02488a037639", "extract_ref": "artifact:s | observed | artifact ↗ | 2026-09-07 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/Aaron_Katz__ClickHouse.mp3 — legora", "source_id": "01M3VWGSXQZKSE9N13PK2FE5NS-m-22dc02488a037639", "extract_ref": "artifact:s | observed | artifact ↗ | 2026-08-31 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "traffic.megaphone.fm/TCML1990412598.mp3 — legora", "source_id": "01M3W3CHRS0MXDV35ZQ1RWWTQ3-m-22dc02488a037639", "extract_ref": "artifact:sha256:355a117f7210ff18e2abe9ff0 | observed | artifact ↗ | 2026-08-26 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "The Jamie Dimon Interview — legora", "source_id": "01M4GFPHZZFQ9PT6EESV4RGGD1-m-22dc02488a037639", "extract_ref": "artifact:sha256:4efce043a54861cd3b00380ac22472d9db498aa | observed | artifact ↗ | 2026-10-09 | superseded | 0.95 |
source.document.reference | {"kind": "podcast", "title": "The Jamie Dimon Interview — legora", "source_id": "01M4GFPHZZFQ9PT6EESV4RGGD1-m-22dc02488a037639", "extract_ref": "artifact:sha256:4efce043a54861cd3b00380ac22472d9db498aa | observed | artifact ↗ | 2025-07-16 | normalized | 0.95 |
website_url | https://legora.com | observed | enrichment | 2026-07-24 | normalized | 0.75 |
website_url | https://legora.com | observed | artifact ↗ | 2026-07-24 | normalized | 0.95 |
website.homepage.has_pricing_link | false | observed | artifact ↗ | 2026-07-24 | normalized | 0.80 |