Harvey AILegal AI assistant749 voices on recordlatest Oct 20, 2026204 like · 101 mixed · 359 dislike
Last signal: Oct 20, 2026, a voice. newest voice Oct 20, 2026; newest release on record Sep 1, 2026; newest official statement read Sep 1, 2026. No vendor price is published here.
The most named complaint is accuracy (156 of 749 voices); the most valued thing is time saved (72). The whole band sits below zero: more lawyers on record dislike it than like it. 15 voices come from Hacker News, 730 from Reddit and 4 from Bluesky, Mastodon, Lemmy and Stack Exchange.
What they’re saying · verbatim, newest first
r/Lawyertalk
“Now using Harvey. It is quite worrisome what it can do..”
r/Lawyertalk · Oct 21, 2026ChatGPTCriticizesThe author reported a lawyer to the bar for filings with misleading precedents invented by ChatGPT and for feeding client data into AI. (summary, not a quote)open
r/Lawyertalk · Oct 21, 2026Lexis+ AICriticizes“I’ve caught even Lexis’s AI making mistakes.”open
r/Lawyertalk · Oct 20, 2026ChatGPTCriticizes“Some of the worst lawyering I’ve ever seen has come from lawyers asking ChatGPT how to cross-examine a witness.”open
r/Lawyertalk
“I think they’re amazing and have the potential to save me hundreds of hours on an assignment.”
in “Will AI hurt development of my skills as a litigator?” · 2 voices
r/Lawyertalk · Oct 18, 2026ValuesAI is great for brainstorming at the start and refining at the end of a project, and lawyers should use it while still doing their own thinking. (summary, not a quote)open
r/legaltech
“Both Harvey and Legora are built on sales team, not product quality.”
r/legaltech · Oct 17, 2026HarveyCriticizes“Harvey is the cryptocurrency of legal tech, it survived on belief, marketing, and FOMO when in essence it’s an LLM wrapper now with a post-trained open source model to make better margins for their insane valuation and funding rounds”open
r/legaltech · Oct 16, 2026LegoraCriticizes“At least where I reside, Legora cannot be trusted to do good/accurate research.”open
r/legaltech · Oct 16, 2026LegoraValues“Whilst Legora has its issues, nothing good prompting cannot fix.”open
r/legaltech · Oct 16, 2026HarveyCriticizesHarvey's benchmark standing does not match the experience in practice, and financial losses may lead it to cut corners. (summary, not a quote)open
r/legaltech · Oct 16, 2026LegoraValues“Despite my bitching about Legora, it is still a very good tool and at present I can pass on the whole cost to my clients.”open
r/legaltech · Oct 16, 2026HarveyValues“When you look at the benchmarks, none of the labs most advanced models are close to Harvey for what it does.”open
r/legaltech · Oct 16, 2026ClaudeValues“It runs on our existing gpt or claude subscriptions we already pay for so it has been alot cheaper than Harvey or Legora.”open
r/legaltech · Oct 15, 2026LegoraMixed“I use Legora and the tool is both helpful, and a useless piece of shit that will get you into trouble and waste far more time than it will save.”open
r/legaltech · Oct 15, 2026ChatGPTValues“Both ChatGPT and Claude are better than Legora and Harvey.”open
r/legaltech
“Harvey is the cryptocurrency of legal tech, it survived on belief, marketing, and FOMO when in essence it’s an LLM wrapper now with a post-trained open source model to make better margins for their insane valuation and funding rounds”
r/legaltech · Oct 17, 2026HarveyCriticizes“Both Harvey and Legora are built on sales team, not product quality.”open
r/legaltech · Oct 16, 2026LegoraCriticizes“At least where I reside, Legora cannot be trusted to do good/accurate research.”open
r/legaltech · Oct 16, 2026LegoraValues“Whilst Legora has its issues, nothing good prompting cannot fix.”open
r/legaltech · Oct 16, 2026HarveyCriticizesHarvey's benchmark standing does not match the experience in practice, and financial losses may lead it to cut corners. (summary, not a quote)open
r/legaltech · Oct 16, 2026LegoraValues“Despite my bitching about Legora, it is still a very good tool and at present I can pass on the whole cost to my clients.”open
r/legaltech · Oct 16, 2026HarveyValues“When you look at the benchmarks, none of the labs most advanced models are close to Harvey for what it does.”open
r/legaltech · Oct 16, 2026ClaudeValues“It runs on our existing gpt or claude subscriptions we already pay for so it has been alot cheaper than Harvey or Legora.”open
r/legaltech · Oct 15, 2026LegoraMixed“I use Legora and the tool is both helpful, and a useless piece of shit that will get you into trouble and waste far more time than it will save.”open
r/legaltech · Oct 15, 2026ChatGPTValues“Both ChatGPT and Claude are better than Legora and Harvey.”open
r/biglaw
“You do realize that Harvey was literally just an interface to access Claude since day 1.”
r/biglaw · Oct 19, 2026CriticizesLegal SaaS platforms like Harvey and Legora are just wrappers around LLMs, and the author's firm built its own in-house platform and sees their valuations as unjustified. (summary, not a quote)open
r/biglaw · Oct 18, 2026HarveyValues“Boomer here, but I think Harvey is incredible.”open
r/biglaw · Oct 18, 2026HarveyValues“When you know what you are doing and what you want, Harvey is great IMO.”open
r/biglaw · Oct 17, 2026CoCounselNeutral“CoCounsel allows you to build workflows and combine with other sources too, though.”open
r/biglaw · Oct 17, 2026HarveyValues“The US caselaw search is better because you can combine it with other sources so you can have it look through a set of litigation documents and run caselaw research to help figure out their significance at the same time.”open
r/biglaw · Oct 17, 2026ClaudeValues“To be very clear, in my experience having these systems finely tuned to your individual work vs the level of tuning you can get out of harvey/cocounsel/co-pilot can represent 2-3x productivity increases.”open
r/biglaw · Oct 17, 2026HarveyValues“Harvey vault is amazing for working with discovery productions.”open
r/biglaw · Oct 16, 2026HarveyNeutral“Harvey also has a US Caselaw database where whichever model you pick will directly search for cases in the database.”open
r/biglaw · Oct 16, 2026CriticizesSays lawyers will not use raw coding or chat tools and need a wrapper around the model to make it usable. (summary, not a quote)open
r/biglaw · Oct 16, 2026HarveyNeutral“Harvey can be used with Astra 6 or Fable, your firm just has to agree to API pricing.”open
r/biglaw · Oct 16, 2026HarveyNeutral“Harvey uses the Chat GPT and Claude models and you can actually pick which model.”open
r/biglaw · Oct 16, 2026ChatGPTValues“What pisses me off is that our clients ARE using Claude and ChatGPT themselves and we’re stuck using these inferior models.”open
r/biglaw · Oct 16, 2026HarveyNeutral“Alls I know is that I can’t keep track of all the platforms so I stick to my mans Harvey even though the other mans might be better.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Harvey and Legora are inferior products, by magnitudes, and any firm that exclusively relies on these tools is falling behind in productivity and associate satisfaction.”open
r/biglaw · Oct 15, 2026ClaudeValues“If you are using Fable and you give it enough project data, it can function like your associate on that case who has a mastery of facts and super fast turnaround.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Harvey sucks because it's just an API built on top of open-source AI models, which are way behind the models currently available through openAI or Claude.”open
r/biglaw · Oct 15, 2026HarveyCriticizesYounger lawyers who grew up with general AI tools would be disadvantaged by using Harvey, while older lawyers can be forgiven for adopting it. (summary, not a quote)open
r/biglaw · Oct 15, 2026HarveyCriticizes“This is basically a fine tuned version of the Kimi K3 model which they claim is better but is clearly worse”open
r/biglaw · Oct 15, 2026HarveyNeutral“Harvey does have its own propriety model. And yes, if you select a specific model, only the output is generated by that model, not all of the intervening tasks.”open
r/biglaw · Oct 15, 2026HarveyNeutral“There is no “Harvey” model. Harvey just picks one of the models based on your prompt.”open
r/biglaw · Oct 15, 2026HarveyMixed“I like to think of Harvey as an energetic junior, does their best, a fine starting point, but doesn’t produce a product I’d be willing to send a client without a deeeep review”open
r/biglaw · Oct 15, 2026HarveyValues“Harvey's been killing it for me on the transaction side with the rote drafting and title work.”open
r/biglaw · Oct 15, 2026CoCounselValues“I’ve been really impressed and don’t see how a tool could be much better”open
r/biglaw · Oct 15, 2026CoCounselValues“I’ve been really impressed and don’t see how a tool could be much better”open
r/biglaw · Oct 15, 2026HarveyValues“I use Harvey daily and think it’s a fantastic product (as long as you use it to supplement, not replace your work product)”open
r/biglaw · Oct 15, 2026CoCounselValues“I use co counsel for litigation and i find it is much more accurate for litigation research than claude, chatgpt, or gemini.”open
r/biglaw · Oct 15, 2026Westlaw AIValues“I use co counsel for litigation and i find it is much more accurate for litigation research than claude, chatgpt, or gemini.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Even when I add docs to a vault and ask for a review table, getting Harvey to actually “read” the docs is like pulling teeth.”open
r/biglaw · Oct 15, 2026ClaudeValues“Claude code with a syfert.com MCP (or a courtlistener MCP, or ding duff) is 500% better than Harvey and Legora.”open
r/biglaw · Oct 15, 2026HarveyMixed“It’s usually right but the times it isn’t it’s REALLY wrong.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“I also do not think I’m getting real Opus 5 when I select it in Harvey. And it’s hella slow.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Harvey profits by arbitrating token costs, so they use the cheapest models they think can get away with for the bulk of response.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“They came out years later than Harvey, when firms already adopted Harvey, but yeah, firms should abandon Harveyw”open
r/biglaw · Oct 15, 2026CoCounselValues“My firm has Harvey and CoCounsel, and I just use CC bc it has access to Westlaw.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“It routinely gives me genuinely “lazy” answers that fail to address what are obviously critical aspects of the issue, in a way that is not true of Fable or Astra”open
r/biglaw · Oct 15, 2026HarveyCriticizes“The only reason firms choose Harvey is it doesn’t use our data to train its AI due to confidentiality, or else they are trash”open
r/biglaw · Oct 15, 2026HarveyCriticizes“All other tasks, such as the actual research, review, etc, are handled by whatever model Harvey wants, including their own shitty “proprietary” models.”open
r/biglaw
“It’s usually right but the times it isn’t it’s REALLY wrong.”
r/biglaw · Oct 19, 2026CriticizesLegal SaaS platforms like Harvey and Legora are just wrappers around LLMs, and the author's firm built its own in-house platform and sees their valuations as unjustified. (summary, not a quote)open
r/biglaw · Oct 18, 2026HarveyValues“Boomer here, but I think Harvey is incredible.”open
r/biglaw · Oct 18, 2026HarveyValues“When you know what you are doing and what you want, Harvey is great IMO.”open
r/biglaw · Oct 17, 2026CoCounselNeutral“CoCounsel allows you to build workflows and combine with other sources too, though.”open
r/biglaw · Oct 17, 2026HarveyValues“The US caselaw search is better because you can combine it with other sources so you can have it look through a set of litigation documents and run caselaw research to help figure out their significance at the same time.”open
r/biglaw · Oct 17, 2026ClaudeValues“To be very clear, in my experience having these systems finely tuned to your individual work vs the level of tuning you can get out of harvey/cocounsel/co-pilot can represent 2-3x productivity increases.”open
r/biglaw · Oct 17, 2026HarveyValues“Harvey vault is amazing for working with discovery productions.”open
r/biglaw · Oct 16, 2026HarveyNeutral“Harvey also has a US Caselaw database where whichever model you pick will directly search for cases in the database.”open
r/biglaw · Oct 16, 2026CriticizesSays lawyers will not use raw coding or chat tools and need a wrapper around the model to make it usable. (summary, not a quote)open
r/biglaw · Oct 16, 2026HarveyNeutral“Harvey can be used with Astra 6 or Fable, your firm just has to agree to API pricing.”open
r/biglaw · Oct 16, 2026HarveyNeutral“Harvey uses the Chat GPT and Claude models and you can actually pick which model.”open
r/biglaw · Oct 16, 2026ChatGPTValues“What pisses me off is that our clients ARE using Claude and ChatGPT themselves and we’re stuck using these inferior models.”open
r/biglaw · Oct 16, 2026HarveyNeutral“Alls I know is that I can’t keep track of all the platforms so I stick to my mans Harvey even though the other mans might be better.”open
r/biglaw · Oct 16, 2026HarveyNeutral“You do realize that Harvey was literally just an interface to access Claude since day 1.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Harvey and Legora are inferior products, by magnitudes, and any firm that exclusively relies on these tools is falling behind in productivity and associate satisfaction.”open
r/biglaw · Oct 15, 2026ClaudeValues“If you are using Fable and you give it enough project data, it can function like your associate on that case who has a mastery of facts and super fast turnaround.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Harvey sucks because it's just an API built on top of open-source AI models, which are way behind the models currently available through openAI or Claude.”open
r/biglaw · Oct 15, 2026HarveyCriticizesYounger lawyers who grew up with general AI tools would be disadvantaged by using Harvey, while older lawyers can be forgiven for adopting it. (summary, not a quote)open
r/biglaw · Oct 15, 2026HarveyCriticizes“This is basically a fine tuned version of the Kimi K3 model which they claim is better but is clearly worse”open
r/biglaw · Oct 15, 2026HarveyNeutral“Harvey does have its own propriety model. And yes, if you select a specific model, only the output is generated by that model, not all of the intervening tasks.”open
r/biglaw · Oct 15, 2026HarveyNeutral“There is no “Harvey” model. Harvey just picks one of the models based on your prompt.”open
r/biglaw · Oct 15, 2026HarveyMixed“I like to think of Harvey as an energetic junior, does their best, a fine starting point, but doesn’t produce a product I’d be willing to send a client without a deeeep review”open
r/biglaw · Oct 15, 2026HarveyValues“Harvey's been killing it for me on the transaction side with the rote drafting and title work.”open
r/biglaw · Oct 15, 2026CoCounselValues“I’ve been really impressed and don’t see how a tool could be much better”open
r/biglaw · Oct 15, 2026CoCounselValues“I’ve been really impressed and don’t see how a tool could be much better”open
r/biglaw · Oct 15, 2026HarveyValues“I use Harvey daily and think it’s a fantastic product (as long as you use it to supplement, not replace your work product)”open
r/biglaw · Oct 15, 2026CoCounselValues“I use co counsel for litigation and i find it is much more accurate for litigation research than claude, chatgpt, or gemini.”open
r/biglaw · Oct 15, 2026Westlaw AIValues“I use co counsel for litigation and i find it is much more accurate for litigation research than claude, chatgpt, or gemini.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Even when I add docs to a vault and ask for a review table, getting Harvey to actually “read” the docs is like pulling teeth.”open
r/biglaw · Oct 15, 2026ClaudeValues“Claude code with a syfert.com MCP (or a courtlistener MCP, or ding duff) is 500% better than Harvey and Legora.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“I also do not think I’m getting real Opus 5 when I select it in Harvey. And it’s hella slow.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“Harvey profits by arbitrating token costs, so they use the cheapest models they think can get away with for the bulk of response.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“They came out years later than Harvey, when firms already adopted Harvey, but yeah, firms should abandon Harveyw”open
r/biglaw · Oct 15, 2026CoCounselValues“My firm has Harvey and CoCounsel, and I just use CC bc it has access to Westlaw.”open
r/biglaw · Oct 15, 2026HarveyCriticizes“It routinely gives me genuinely “lazy” answers that fail to address what are obviously critical aspects of the issue, in a way that is not true of Fable or Astra”open
r/biglaw · Oct 15, 2026HarveyCriticizes“The only reason firms choose Harvey is it doesn’t use our data to train its AI due to confidentiality, or else they are trash”open
r/biglaw · Oct 15, 2026HarveyCriticizes“All other tasks, such as the actual research, review, etc, are handled by whatever model Harvey wants, including their own shitty “proprietary” models.”open
r/biglaw
“When I asked Harvey and Legora the same research question they were basically the same answers.”
r/biglaw · Aug 21, 2026HarveyMixed“Harvey missed the ask one time when I was trying to get it to revise/add a little to a paragraph and it gave me 3 very long paragraphs.”open
r/biglaw · Aug 21, 2026LegoraValues“I think it makes me 30% more efficient generally, but if I am writing briefs or summaries of documents it's much higher”open
Hacker News
“Lawyer here: Harvey was never very good, or useful. It mostly exists so large law firms can say they do AI.”
Hacker News · May 15, 2026ClaudeCriticizes“Everyone is busy discussing how amazing is this collection of markdown files for Claude... which Claude is known to randomly ignore.”open
Hacker News · May 15, 2026ClaudeCriticizes“These companies have marketed their products so badly (or well, depending on your viewpoint) that lawyers think that these tools are glorified search engines. Then they get busted in court because the LLM made up citations, quotations etc.”open
Hacker News · May 15, 2026ClaudeValuesCautiously optimistic about Claude's agent approach for legal drudgery, but lawyers remain accountable, not Anthropic. (summary, not a quote)open
Hacker News · May 15, 2026LegoraCriticizes“I have a friend that runs a firm and uses Legora and can’t stand it.”open
Hacker News · May 15, 2026ClaudeCriticizes“I think we should be realistic here, this is a more advanced version of those "will kits" that spit out a PDF.”open
Hacker News · May 14, 2026HarveyCriticizes“There's other companies that have a much better understanding of the market and compliance issues but you don't hear about them because nobody wants to talk about legal tech.”open
Hacker News · May 14, 2026ClaudeMixed“As a lawyer, I'm excited about this, but there are two roadblocks that I'm not sure how Anthropic will navigate:”open
Hacker News · May 14, 2026ClaudeNeutral“It seems like they ripped out Lexis, which is probably one of the most important tools for lawyers: https://github.com/anthropics/claude-for-legal/pull/5 .”open
Hacker News
“That benchmark in the report clearly shows that there is not much added value or moat in the custom training of Harvey.”
Hacker News · Nov 28, 2023ValuesGenerative AI can speed lawyer workflow since legal documents are mostly configurable boilerplate; fake-citation cases were careless. (summary, not a quote)open
The newest 300 of 749 voices, one line each
One-line summaries are written by our classifier, not quotes. Follow “open” for the original.
Date
Source
Stance
Task
Summary
Oct 20, 2026
r/Lawyertalk
Values
General use
After a year on premium ChatGPT, which was good but imperfect, the author now uses Harvey and finds its capability striking enough to threaten junior attorneys and paralegals.
Explains that Lexis offers a CoCounsel competitor called Protege, that Harvey queries it as a source, and that Harvey also has its own US caselaw database.
Says Harvey lets users choose only the model for final output while its own models handle research and review, which the author finds misleading and poor.
Harvey is good at certain tasks, about the level of a good second-year associate or paralegal, and usually right, but when it is wrong it is badly wrong.
Even with documents in a vault, getting Harvey to actually read them for a review table is very difficult because it is lazy and complains about long tasks.
Harvey moved to its own proprietary model after losing money on third-party model costs, and the author finds it clearly worse despite Harvey's claims.
The author thinks Harvey's features can be replicated and configured more flexibly with your own LLM, and says the Harvey browser becomes slow and glitchy after about a hundred prompts.
The author describes that their firm's Harvey lets users pick the underlying model, and they choose Claude Fable for complex queries even though it is slower.
The author argues that Harvey is a middleman between users and frontier models and that large firms will go direct once the auditable layer can be replaced.
Harvey is the safest choice for big law because firms are less exposed on confidentiality and disclosure to the court, and its custom agents and workflows make switching costly.
Harvey and Westlaw's AI are the most useful legal research options and better than general chatbots, but they are not good and work best when given a starting point and narrowed step by step.
Harvey completes roughly the first 20% of a task but is often wrong at first, so it suits junior lawyers poorly because they cannot tell what to follow up on.
Legal AI vendors like Harvey depend on third-party models and are unprofitable, so firms relying on them may face large price increases or vendor closure.
Harvey response times range from instant to about 10 minutes on document-heavy tasks, but the notify-me email lets users run many tasks at once and works well.
Says benchmarks for the Thomson Reuters and Harvey proprietary LLMs are rigged against GPT models and that those custom models mainly cut vendor costs rather than serve lawyers.
Harvey and Protege reportedly give very similar outputs, and the author doubts their value at the likely cost when firms can build similar tools with Copilot and MCPs.
A first-year associate says their firm's Harvey can search the document management system from a plain-language request, which has greatly improved how efficiently they find precedent documents.
Sees Harvey as a comfortable but basic wrapper for mid-tier users, regrets losing the Westlaw integration built into the firm's processes, and says staff like Copilot, Gemini and Grammarly for routine drafting.
A veteran legal IT leader says Harvey's demos won over lawyers by going straight to common, lengthy tasks, while rival tools seemed to talk past lawyers and had inflexible pricing.
Harvey has no foundational model of its own and mainly primes ChatGPT for expected tasks such as contract redlines, so it is not original but is marketed well.
After a two-week firm trial, found Harvey hallucinated less and handled nuance better than ChatGPT on research issues, like a young associate versus a law student.
Harvey and Legora's curated databases of public legal sources beat general web search, give precise cited answers, and are easy for everyone at the firm to use.
Thinks it is ironic that firms use Harvey to protect client information when the data still goes to Anthropic and OpenAI, which may train on law firm documents.
The author argues that legal AI research tools are less accurate than vendors claim, citing Stanford findings on hallucination rates, the lack of independent benchmarks for Harvey and CoCounsel, and high costs.
Vendors like Harvey and Legora can change the underlying model without notice, so a firm's evaluation is only a snapshot; contracts should require notice of model changes and a penalty-free exit.
A vendor like Harvey or Legora has solved many problems and carries accountability, whereas a firm that builds its own tool owns every problem and the liability.
Harvey and similar legal tech often do not add enough value over frontier model APIs and custom in-house apps, which are getting faster and cheaper to build.
Harvey is little more than a wrapper around general models whose early edge was zero-data-retention terms, and all LLM citations still need human checking.
After double-checking citations the author was pleasantly surprised, and likes Harvey's document vault, though ChatGPT connected to a drive can do something similar.
Harvey-type tools are justified mainly by matter context, permissions and vendor terms rather than writing quality, so a $30k cost is hard to defend without those, and consumer accounts carry different data terms and all citations need checking.
The author says the harness behind Harvey's Legal Agent Benchmark is much simpler than the one in Harvey's real product, so the scores do not reflect actual performance.
The author welcomes Harvey open-sourcing its legal benchmark but found the results hard to reproduce and the scoring unreliable, so would not rely on the scores.
Harvey was good for multi-document review, due diligence and speeding up issues lists, and the author is weighing whether a cheaper tool like Copilot would suffice in-house.
A heavy Harvey user who sees little value in its new model, likes the Harvey II idea but thinks a separate vendor would do it better, and uses Harvey only because the firm allows nothing else.
Harvey's business model rests on the gap between token costs and firm fees, and its model selector is useless because Harvey assigns most tasks to models chosen mainly for its own cost.
Harvey never gave unlimited free Claude; it routed work to a cheap model and only used the selected model for final output, which the author calls a scam.
Harvey's approach of automating fixed lawyer tasks is flawed, general models will outperform specialized ones, and regulated firms relying on Chinese open models face serious risk.
Says Harvey's claims, such as a legal-specific model, are unsupported by evidence and aimed at unsophisticated lawyers, and that its integration features are basic.
Concedes Harvey and Legora are imperfect and must work to keep users, but says a front end is easy to build while optimizing the whole stack and pleasing lawyers is hard.
Argues firms pay Harvey and Legora for privacy, matter-level permissions, verification, auditability and trust, which a raw frontier model does not provide.
Using Harvey daily has been transformative because its library of editable lawyer workflows helps, though workflows and human review points must be mapped out first.
Argues Harvey is just a wrapper with no demonstrated advantage over Claude or ChatGPT, and that big law legaltech purchasing is driven by brand and hype.
Argues Harvey and Legora do far more than wrap a model, handling authentication, data management, integrations and lawyer preferences that a single document dropped into Claude does not.
Says Harvey hallucinated a board action with a wrong DGCL citation on their deal team and that simple tasks should start from the firm's precedent library.
Harvey loses prior work after about a week or after a mid-thread refresh, and the firm mainly cares that no confidential client information goes in without client permission.
Firm administrators can see all Harvey prompts and documents, but the tool has no useful monitoring beyond manual checks and the firm mostly reviews general usage statistics.
Firms can retrieve chats from the firm AI tool for a retention period, but rarely review them unless there is a problem or a litigation hold, so use free public tools for interview preparation.
Harvey offers a convenient interface and ready-made review workflows, but Claude with connectors gives nearly identical reasoning and Harvey's seat fees are high.
Says Harvey and Legora give real value when used correctly, mainly through prebuilt interfaces that help adoption, though other tools can sometimes do more.
Says Claude and ChatGPT suit technically capable firms willing to build custom tools, while Harvey and Legora fit professionals who will not go beyond a chat interface.
Notes Harvey and Legora integrate with iManage and may be refined for legal needs like ethical walls, while the cost of general tools' iManage access remains uncertain.
Chose Harvey because its drafting quality, Word add-in, Lexis integration, bulk document table tool and all-inclusive price make it easy for attorneys to pick up.
A lawyer at an international firm trialing both finds Harvey and Legora basically wrappers with useful features, prefers Harvey for its interface and stability, but sees little difference and notes inconsistent results when the platform picks the model.
Warns that mandatory data collection in the newest frontier model, which wrapper vendors cannot turn off, may be a problem for attorney-client confidentiality.
Harvey and Legora justify their premium price through plug-and-play tools, firm-wide usability, admin-controlled security and dedicated support, which general AI tools like Claude don't match without extra effort.
Loved Harvey in the trial and found it very useful with proper directions, was disappointed by CoCounsel's clunky interface and missing features, yet their firm chose CoCounsel for its data privacy advantage.
Says Harvey and Legora offer real privacy controls, a legal-specific interface and working integrations that general chat tools lack, but considers them overpriced.
Lawyers using consumer AI is unwise, while reputable firms use Harvey, which runs on Claude; the real issue is the terms of service and BAA, not the model.
Harvey does not allow the data sharing that consumer Claude does, so reputable firms ban consumer AI tools for personnel because of privacy and privilege risks.
Harvey is not zero data retention itself, since it only requires that from model providers and its document repository adds another custodian, though it can still be a reasonable choice.
Legal AI tools like Harvey run on underlying LLMs, and without proof that client information reached another person or became public, the client has no claim.
Lack of zero data retention for small enterprise accounts is a deal breaker for many legal uses, and a vendor like Harvey is useful because it has more leverage to obtain it.
The wrapper criticism is fair for simple workflow tools, but paying for legal AI buys citation verification, permissions, audit logs, research database access and a vendor who is accountable.
Harvey running on the latest GPT model performs very strongly, but associates must master it because it raises rather than lowers expectations for work product.
Harvey and Legora offer trusted, secure environments, and building legal AI yourself carries risk because judges are sanctioning wrong AI content and the exposure falls on the builder.
General models like ChatGPT hallucinate citations and miss jurisdiction-specific nuances, so purpose-built legal tools such as Harvey are better though expensive.
Harvey's value is its turnkey integration with firm document systems, prebuilt legal workflows and compliance, while a small firm can replicate many tasks in Claude more cheaply.
The author explains that Westlaw bills through because searches are metered by matter, while flat per-seat AI tools lack a per-matter record, and suggests routing AI use through one logged channel that requires a matter number.
Uses Harvey regularly, not for primary research, but finds it very good at checking facts against a record, adjusting tone, summarizing briefs and assessing arguments.
No convincing case has been made for Harvey or other big legal AI vendors, and they may not survive if the underlying model providers expand into legal work.
The author at a large firm says firms buy tools like Harvey partly because competitors do and to meet client expectations, and that a license fee is easily justified by lawyer time saved if adoption is there.
Has Harvey access and says real use changed their mind: strong document editing with redlines, very large context handling, agentic workflows and review tables that cannot reasonably be rebuilt.
Harvey offers little over Claude as a model, but its access to LexisNexis content is a critical difference for case law citations that Claude plugins cannot match.
Harvey can process over 10,000 documents in a grid and offers workflow builders, reporting, firm-tool integrations and stronger governance controls for large firms.
The author, who works at an AI-native law firm, says Harvey does not solve their real problems and that its output is something that still has to be reviewed.
Harvey works like a very good first-year associate, giving on-point research and faster agreement review and mark-up, though its output must be reviewed.
Enterprise direct and wrapped accounts are equivalent on security, but a bespoke product like Harvey is an easier, safer rollout for a large firm and worth its premium price.
Privilege and confidentiality cannot be preserved when using tools like Harvey or Claude, and the author would seek discovery of chats and prompts in litigation.
Harvey sends client data through its own infrastructure and to multiple model providers and stores it long term, so it cannot offer zero data retention, which is worse for confidentiality than going direct.
Harvey once advertised training on client data and changed course only when it became an ethical breach, while CoCounsel's terms have the strongest protections the author has seen.
Harvey and commercial-grade Claude and ChatGPT align closely on emerging confidentiality standards, and Harvey uses Anthropic and OpenAI as sub-processors.
Harvey's custom model training could reduce sub-processor dependence and improve confidentiality control, but firms need the right to opt out and assurance their practice know-how is not reused for other firms.
Harvey's published terms do not say nobody can monitor data, since it can access data for service and support, and review by confidentiality-bound personnel resembles email spam scanning, which is not treated as waiver.
Relaying what practicing lawyers report, the author says Harvey mainly speeds up review, drafting and summarizing through ready-made workflows, and the gap with ChatGPT or Claude narrows if a firm builds its own setup.
Finds Harvey's aim to be the law firm's central system interesting but wants more done with billing and time data such as Aderant without manual exports or custom APIs.
Harvey improved the author's litigation work product, editing and transcript review in much less time, but its legal analysis is often wrong so it is not used for research.
Harvey is solid for discrete drafting and proofreading tasks on purchase agreements, such as moving provisions between agreements and flipping representations, as long as the lawyer keeps reviewing the work.
The author says they have become very dependent on Harvey and worry they have lost the ability to think critically, though they conclude they are fine.
As in-house transactional counsel, the author finds Harvey excellent for drafting, flipping clauses, proofreading, checking counterparty paper against playbooks and inserting redlines through the Word plugin.
Custom Harvey agents for due diligence, drafting and housekeeping save time at scale and allowed the firm to move to fixed fees, provided the tool is used correctly.
Harvey, Legora and Westlaw AI have no real value because an attorney can build a better custom tool on frontier models for a fraction of the subscription cost.
Calls Harvey's custom-model announcement mostly marketing and not novel, but says orchestration tools add real value on complex, multi-step research and document review.
Based on former colleagues' experience, the author thinks Harvey has no real competitive advantage and expects Claude to displace it at a fraction of the cost.
Says partners and innovation leads with personal financial interests push Harvey and Legora, citing a firm-wide licence sitting unused, and calls legal tech a scam.
A senior lawyer says a junior quoted Harvey output in work product, and fixing AI-generated work with invented content is harder than fixing weak junior work.
Sees Harvey and Legora following the classic play of locking customers in and then raising prices, with their firm not discussing vendor lock-in or cost increases.
Harvey's value is in integrations and grounded citations, though reviews of its consistency are mixed; base Claude suffices for summarizing and drafting but not for citable research.
Harvey is good at document review, first-pass research and case summaries, but it is often wrong on nuanced or jurisdiction-specific points, so human review is essential.
Their large firm uses Harvey and Copilot for drafting, with client consent needed for Harvey uploads, and they see physical office access as a likelier confidentiality risk than the AI tools.
Likes Harvey's prompt-improvement button and its useful second-look and devil's-advocate answers, but dislikes inconsistent redline handling and loss of context in long conversations.
Harvey has no real advantage over Claude, and a solo attorney can build better workflows, with only Westlaw and Lexis keeping an edge through their data.
Harvey and Legora are very good tools, and buying from a vendor that handles onboarding and can be held accountable is safer for busy in-house teams than building.
Harvey is not easily replaced by open-source tools built on frontier models, and much of its value is helping slow-moving legal organizations adopt it.
Finds AI useful for clause drafting that gets reviewed anyway, but says Harvey's fine-tuning does not solve hallucination, so risk stays high beyond first drafts without verifiable cited sources.
After six months with Harvey, the author says the return on cost only works at scale under a flat rate and that the firm's risk committee wants to diversify tools.
The author considers Harvey a good deal compared with Legora and with using ChatGPT or Claude directly for large document reviews, but expects token-based pricing to come.
Harvey and Legora have no lasting advantage over general models like Claude Enterprise, apart from easy model switching that a router app could replicate.
Harvey contracts are fixed-term and firms adopt slowly, so cancellations are unlikely soon, and a seat pays for itself quickly for many big-firm users.
The author describes heavy use of Harvey at a law firm, running several models on the same prompt for verification, and estimates monthly usage costs at about 15k.
Harvey reviewed a year of social media posts for threatening content in about 30 minutes instead of days, and an associate then verified the flagged posts.
Smaller firms want the workflow gains of tools like Harvey or Legora but cannot justify enterprise pricing, so differentiation will come from workflow, retrieval quality and trust.
Harvey and Legora are good and useful for non-technical lawyers, but the author thinks they are overpriced, create lock-in risk and cost the firm its own IP.
Harvey offers law-firm-grade security, multiple models, internal documents and LexisNexis access in one easy app, which justifies it as more than a wrapper.
The author uses Harvey for first drafts, comparing filings and analysing disclosures in IP litigation and considers it well worth the cost, noting its closed environment protects client data.
The author asks whether Harvey learns from firms' workflows and considers its closed-environment feature standard for enterprise users rather than a differentiator.
Other tools filed under Legal AI assistant, ordered by net score (like minus dislike per 100 voices), each with its 90% band and how many voices it rests on. A tool under 10 voices is listed, not rated. No one pays for a place here.
Only what the vendor or the model provider says on its own pages, read on Oct 22, 2026. “Not disclosed” means we found no official statement.
Tool
Model
Status
Period
What the official page says
Harvey
Anthropic Claude Fable 5.1
Offers
as of 2026-09-01
Harvey announced Anthropic's Claude Fable 5.1 is available in Harvey. Source Fable 5.1, Now Live in Harvey, Sep 1, 2026
Harvey
Claude Opus 4.6, GPT-5.2, Sonnet 4.6, Gemini 3 Flash (Anthropic, OpenAI, Google)
Uses
as of 2026-03-10
Harvey describes a multi-model setup with foundation models from Anthropic, Google DeepMind and OpenAI, naming Opus 4.6, GPT-5.2, Sonnet 4.6 and Gemini 3 Flash. Source Why Harvey is Multi-Model by Design, Mar 10, 2026
Harvey
Anthropic and Google models added alongside OpenAI
Uses
since 2025-05
Harvey announced adding Anthropic and Google models, via AWS Bedrock and Google Vertex, to supplement its existing OpenAI models. Source Expanding Harvey's Model Offerings, May 13, 2025
Harvey
OpenAI o1
Used
2024-09
Harvey said it would build legal agents and workflows with OpenAI's o1 reasoning series. Source Harvey is building legal agents and workflows with OpenAI o1, Sep 12, 2024
What lawyers asked Harvey to add, and what shipped
7 distinct asks from 9 voices; 2 followed by an official release note we could verify. An ask with no match means we found no official page, not that nothing shipped. Official pages re-read: Oct 22, 2026.
Where this answer continues
The voices above are what lawyers post after using Harvey. What it does, who it is built for and how it is sold, read from Harvey’s own announcements, is in the Harvey AI review on aivortex.io.