Building sidekick for lawyers, inside Microsoft Word.

Joined April 2009
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Fair point. However, the IT services and consulting folks do need to answer why has there been not even a SINGLE product/company/startup investments coming out in other areas of AI. Its not just about foundation models or implementation services. What about: 1. Designing custom harnesses for industry specific usecases. Build / buy / invest in startups / incubate, etc. There should be a communication around it at the rate of once per week. 2. Thought leadership around key enterprise issues like data privacy, local vs cloud AI models? Not claude generated, gatekept 'white papers' but genuine demos publicly available and pushed around. Is there a genuine case example available? 3. Domain specific evals??? This is the biggest one. You're telling me that your Insurance practice is a billion $ big, you serve top 10 insurers but cannot build a productized service for Insurers to test 50 new AI tools and products with reliable evals and benchmarks? Its the same old tired 2018 case studies framework (gained 40% underwriting efficiency by using AI models). There is enough domain expertise in each of these large companies to help national insurers around evals and benchmarking all major workflows in each of 50 states, each of 10-15 product lines in the US. You have tonnes of teams doing very similar work across the industry and you're best placed to abstract out signals by spending some meaningful time with the humans working on those tasks. Perhaps, what's missing is the organizational intent and will. Ultimately, I think its a cultural & incentives issue. Cultural - My guess is that most CXOs still secretly hope and think that this is a massive fad/wave like the y2k/cloud, etc. and in the end they'll be vindicated via new implementation contracts by 'partners' like Anthropic/OpenAI/Google. I've read/listened to some of the Q'ly calls and nothing tells me otherwise. Incentives - most execs have a revenue / eps target given by board, and they cannot get capex or startup investment proposals approved by the same board. They're superstars who've won at this game for years and now the game has changed.
Bashing Indian IT service companies for not building frontier AI is fair. But they were built for services. The real question is much sharper: Where is Tata’s Qwen? Qwen came from Alibaba — a company smaller than the listed Tata empire. Where is Ambani’s ERNIE? ( Baidu ) Where is Mahindra’s Hunyuan? Where is Adani’s Pangu? Where is L&T’s defence AI foundation model? Where is Birla’s industrial AI model? China’s established corporate giants are building frontier models. Alibaba built Qwen. Baidu built ERNIE. Tencent built Hunyuan. Huawei built Pangu. ByteDance built Doubao. iFLYTEK built Spark. So stop gaslighting people with “India lacks capital.” India does not lack capital. India does not lack engineers. India lacks a billionaire class willing to risk serious money on frontier AI. There is money for weddings, cricket, retail, ports, media, and political access. But when it comes to building India’s Qwen, suddenly everyone becomes a cautious accountant. That is the scandal.
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Amit Sharma retweeted
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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Here we go, #WorldCup
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What a lovely article! No one has ever captured the spirit of football WC better than this. My 1st WC was Italia '90 (I was exactly 11 then!). Still remember Roger Milla's Cameroon, Scillachi's screamers for Italy, Oleg Salenko's 5 goals in a single match, Maradona's heartbreak in the finals,.. I'm now transported to a different world... irishtimes.com/sport/soccer/… @AkaPaulHoward
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Great advice for cs and math undergrads feeling overwhelmed by ai
new grads often ask me what they should be doing so they don't fall behind in the ai space. there's a lot, but its honestly super manageable. become intimate with model internals. proof based linear algebra. non-convex optimization. this is stuff you could've done in undergrad. it definitely takes some time and work, but its doable. have taste, have opinions. train a small model, then train a big one. vLLM internals, tensor parallelism. hand roll kernels. cluster orchestration. do you have opinions on synthetic data? why don't you? SFT, PPO, you should know this. learn Triton. everyone is reproducing papers now so you need to be doing more. do you know the semi supply chain? where are the bottlenecks? hardware, man, hardware. your little gpu rig erector set in your basement isnt gonna cut it. build a cluster, a big one. pretrain a 800B model. now postrain it. serve it to millions of people. you should be able to beat deepseek on some benchmarks now. its a lot to take in but it all snowballs. this what job security looks like from now on. do you want to work in tech or not
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Makes complete sense for the top firms to build their own, on-prem AI capabilities. VC funded Legal AI firms are rolling in valuations on the back of two things: 1. Marquee client logos signalling credibility 2. Powerful AI capabilities & harnesses (custom built for bespoke legal work) #2 is now less & less of a moat, and an aggressive law firm can assemble a great team of technologists & build it out. Many 'Forward Deployed Engineers & Legal-Technologists' are anyways from these top tier firms & practices only. Keeping your client's data off 3rd party servers (and protecting privilege) is the biggest benefit. This will be a reality in most domains, not just law. Top firms will lead the way, and many will follow. There will be blow-ups and disasters but Anthropic/OpenAI/Google have ensured that the end customers have much more leverage than the rest of the value chain. Old adage of: 'Will incumbents get innovation before start-ups get distribution' is passe. All incumbents now have access to innovation, and some lead it as well. Real question now is: Will the incumbents still be excited and committed about AI when its no longer sexy and foundational model labs are not dropping new models every month. It will happen and 2025-26 is definitely an aberration. Incumbents who can shed their deadweight & really pivot to a culture of experimentation and fast deployment using AI will last out way beyond this unusual period.
Kirkland with a 500M investment in AI legal is important in signaling a big advantage and controlling their own AI intelligence layer and hybrid search and document stores. Harvey and Legora, while very robust and helpful early wrapper platforms for firms needing a quick AI infusion, may end up being an AI concept prover for some firms -but still hugely helpful to firms without the budget and talent to build their own platform. Once big firms ramp up they may very well see that they need to own their intelligence layer and workflows and market that they are different and better or more AI native than other firms in the AI tech space who use only mass AI legal vendors.
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Agree. It’s almost impossible to build a stable team with all superstars (100x engineers). But then, who wants stability these days.
very interesting to see how this pans out although I have, over time, realized that you need a mixture of 0.8x 1x and 1.2x value adders in your teams as the ability to take up challenging work increases, the ability to do monotonous work that is the bedrock of the company decreases 1.2x people, specifically engineers, hate the boring tedious incremental work - they always want to experiment with the newest things or pick up the most difficult problems whereas it is the boring monotonous work that is often what drives the business and it is comparatively more relevant to a 0.8x as projects become less exciting and important but bring in revenue, passing it on to 1x and eventually the 0.8x makes the best fit imo
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Almost every other day, you'd come across tweets betraying basics of insurance. For an industry that consequential, its scary to see how little people understand how it works.
can i create my own car insurance company that only insures me and a couple buds? low monthly cost, shit coverage, but technically legal to drive?
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Business of Law is extremely profitable.
Latham & Watkins reports a record $8.3 billion in global revenue in 2025, an 18.6% jump from last year. news.bloomberglaw.com/busine…
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How can @Gartner_inc be so behind. This is 2026 April. None of these 2x2s are going to be relevant anymore.
Gartner's magic quadrant for Generative AI model providers had IBM ahead of Anthropic as of November 2025. Incredible
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Amit Sharma retweeted
it’s only AI native if the gross margins are negative
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UNIX was built in one month. Ken Thompson's wife took their son on vacation. He had 3 weeks alone. He wrote the kernel in week 1, the shell in week 2, the editor in week 3. Modern dev teams spend 3 weeks in sprint planning.
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Loved playing this. Even for those days it was slow.
Tennis (1984)
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Did someone say AI will make lawyer's business go away?
Big Law attorneys are squaring up against a new, costly courtroom opponent: everyday people filing lawsuits and legal briefs with the help of generative artificial intelligence. news.bloomberglaw.com/busine…
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This is so true. After years of comfortable corporate existence, when I started out as a solo entrepreneur, the most unsettling thing on a Monday morning was staring at the blank calendar. No client meetings to prepare and pre-prepare for, no boss to send plan/updates to, no workshops or brainstorming sessions you're invited to, no corporate outings to look forward to, no HR mandated trainings to complete, no perf reviews / attrition worries, no strategy sessions, no scheduled 1-1's or skip meetings, ... Now, nothing moves unless you do. And you need to decide on the direction first. How do you plan your day/week to focus on the highest leverage activities? When you can essentially be larping on a million other things because there's no forcing function. This kind of calendar freedom is hard to digest. Has taken me a few years to recognize the issue but still far from figuring this out.
working for yourself is addictive in a way most people don’t anticipate & the stress that comes with it is genuinely difficult to manage. when you’re the principal, nothing happens without you. you set the tone, the structure, the culture, & the motivation. you are the foundational layer. most ppl have never had to operate this way cuz they’ve always been embedded in a system & told what to do, when to do it, & what matters. aka the shawshank lifestyle. the human mind runs surprisingly well on prescription. strip that away & you discover pretty quickly whether you actually have an interior architecture or just a talent for compliance. that’s what makes it so damn dichotomous. the freedom is so fucking real, but so is the weight. all i’m saying is that most ppl have never had to locate their own gravity before.
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Amit Sharma retweeted
Yes. That's why the Angrez traded as East Pakistan Company, Vyas Rishi named his magnum opus MahaSouthAsia and the Native Americans were called Red Dravidians.
Replying to @Mr_SujitGhimire
There was no India before British India
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No updates from Copilot in Excel still. How can @satyanadella allow this to happen?
ChatGPT for Excel is here! GPT-5.4 is shockingly good at performing Excel manipulations. In particular, it's been impressive at handling work when thrown into complex existing spreadsheets. Available for Plus, Pro, Enterprise, Business, and Edu users! chatgpt.com/apps/spreadsheet…
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Amit Sharma retweeted
Every experienced practicing lawyer I talk to about AI: "It's cool, will change the way we do things, but doesn't affect the service clients are really paying us for." Lawyers with limited experience who decided to sell AI instead of practice law: "I replaced my entire law practice with claude agents overnight, and they do so much better than I ever could." I think that says more about the level of services they were providing than about the capabilities of AI.
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