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Of note, lawyers do not charge for every hour work of their work. On average, an entry level associate may accrue around 2,000 billable hours, which means that there are about 1,500 hours that are non-billable (assuming a 70 hour work week). Setting aside the debate whether the number of billable hours would have to come down from any use of automation tools, the main pitch to Big Law firms is that they can greatly reduce the amount of non-billable work they do (i.e. work that does not directly generate revenue). For any law firm this presents to opportunities for value capture:

Ok, so the potential value capture for Big Law is obvious and pretty attractive. But what does this look like for an AI SaaS product like Harvey AI?

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Modern drills are fairly flexible and can take drill bits of varying lengths and diameters as long as the shape of their shank fits the drill's chuck. In general, branded drill bits will also work in drills from other manufacturers as long as the drill bit's size is compatible.

Can the current tech handle the type of work my customer does? (how much precision do you need, do you deal with only text, or also numbers, images, audio?)

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In general, yes. as long as the drill bit fits into the power drill’s chuck. Most manufacturers produce drill bits that can be used in most drills. But please check your power drill before you purchase your drill bit to make sure.

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Drilling into metals and hardwoods at high speed creates a lot of heat. And that’s what HSS drill bits are designed to withstand. They’re made from heat-resistant carbon steel alloys and have a split-point cutting tip to easily and precisely cut into metal and hardwood. They can also be used for other materials.

At a high level, lawyers are effectively legal consultants that charge a steep hourly rate for the work they produce. An entry level Associate can charge over a $1,000 per hour, with more senior lawyers often charging several multiple of that.

Personally, I’ve been looking at Copilot applications in the financial services industry, which has a completely different business model and type of work than those of lawyers. I will write up a separate blog exploring my learnings, but if you are interested in jamming on this topic please reach out - I’d love to chat with you.

Github Copilot made headlines after it was reported that software engineers were on average 55% faster in completing their tasks when using the tool (in addition to higher completion rates, higher job satisfaction etc.). Since then, it became a pretty consensus view that there will be a “Copilot” tool for every profession from healthcare and education to finance and accounting.

Our handy guide will explain everything you need to know about drill bits. It includes which drill bits can be used for common DIY tasks, their various sizes, and which drill bits you should use for different materials. And finally, which brands accept other brands’ drill bits.

Masonry drill bits are specifically designed to cut into hard materials. They’re typically made from steel and have an arrow-shaped cutting tip made from an extremely strong material called tungsten carbide. When used in a hammer drill, which hammers the drill bit into the surface as it rotates, they make cutting through masonry effortless.

SDS drill bits are used for heavy-duty drilling into hard masonry materials. Unlike standard masonry drill bits, they’re only compatible with SDS drills which have a unique drill bit chuck. The drill bit shaft features grooves that snap into the chuck and allow it to move up and down in a powerful hammer action.

Harvey AI found itself in a sweet spot - it serves a highly profitable revenue generating employee that deals in a very rules-based industry that deals primarily with text. This means that other industries may not benefit the same from an AI Copilot. If I was building a vertical copilot tool I would think about the following:

The best type of drill bit to use for plasterboard is a multi-use drill bit. However, you can also buy packs, which include a drill bit, wall anchors and screws, such as the Cobra nylon toggle multi-material fixing pack. Alternatively, you can do away with a drill bit entirely and use self-drilling plasterboard fixings, such as the Cobra WallGripper, which is screwed into plasterboard with a screwdriver.

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So what are the unit economics for Harvey? Skipping the relatively one-time costs of embedding a large corpus of legal text, hosting costs, and engineering overhead, the primary cost for Harvey (or any AI-first tool) will be its compute/API costs. Harvey uses GPT-4 (at least for now), so using the pricing from OpenAIs website we see that:

First, let’s talk about costs. Unlike traditional SaaS that has a variable cost of close to zero, AI tools incur hard compute costs (or API call cost) for every user interaction. This can be tricky, since most SaaS is priced on a fixed price per seat, while your cost structure is largely variable. Indeed, a power user is LESS profitable than a casual user, creating an interesting incentive misalignment.

As the name suggests, metal drill bits bore holes in metals. But they can also be used for other hard materials, such as plastic and hardwood.

Perhaps the most successful “Copilot for X” to date has been a Series A startup Harvey AI - a tool that promises to completely transform and revolutionize how legal work is carried out today.

As the name suggests, multi-use drill bits can be used for a variety of materials you’re likely to work on in the home, such as steel, wood, masonry, UPVC and concrete. They feature a sharp tip and are made from fine-grade, highly durable carbide, which has high resistance to wear. Their versatility makes them an excellent option for the regular DIY enthusiast.

A similar analysis must be done for any aspiring “Copilot for X” product. If you are building a tool for a cost center, the math will likely be much less interesting than if you were augmenting a revenue generating employee. As we can see from my monkey math above, even at a 50% productivity gain of a highly paid lawyer, you “only” bring $50K in annual savings - vs some $750K in potential additional P&L (a 15x difference!). If you are automating a $50K/year FTE, this puts a ceiling on how much value you unlock (and how much you can ultimately charge).

Drills are useful for a multitude of tasks around the home, from putting up curtain poles and shelves, to installing outside lights and joining wood. But whichever job you’re doing, it’s essential to use the right drill bit. If you don’t, the task will be harder, and you may damage the material you’re drilling into or the drill itself.

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Our tile drill bits are sold in singles or sets. They come in a range of diameters, including tile hole saws which drill large diameter holes suitable for threading pipes and cable through.

Before we dive into economics of Harvey, it’s important to understand a few nuances around how Big Law works and makes money today, as it is directly tied to the value a “Copilot for Lawyers” can bring to the industry.

For context, Allen & Overy, an elite UK law firm that was the first pilot customer of Harvey AI generated about ~$2.5 billion in revenue across its 3,500 attorneys, implying revenue of over $700K / FTE or ~$360/billable hour (UK firms charge less than in the US). Assuming our base case of 25% productivity gain, this has the potential to boost A&Os revenue per FTE by some $130K per year. Not bad!

Auger drill bits are a specific type of wood drill bit designed for precision drilling. They have a more pronounced cutting tip than other wood drill bits, which makes it easy to locate the exact spot you want to drill in and keep the drill bit on course. They also have a corkscrew design to pull them effortlessly through the wood, leaving holes with very neat edges.

Harvey's menu with prices

A core drill bit cuts large holes in dense materials like masonry, brick, and stone. It has large, notched teeth that can remove a core of debris cleanly and precisely.

If you don’t need the precision of an auger drill bit for wood, there are a variety of more general-purpose wood drill bits available. And if larger diameter holes are needed, for creating outlets for pipes and cables, for example, use a flat wood drill bit.

Thanks for doing the math! If these calculations are true (to some extent), Harvey is making an incredible bet on cheap inference cost of future, better models.

It’s essential to drill a hole the right size for your wall plug to ensure your fixing is secure. Luckily, it’s very straightforward. Use a drill bit that’s the same diameter as your wall plug. So, if the wall plug is 6mm, use a 6mm drill bit. Then, the screw should be a millimetre or two smaller.

We stock a wide range of multi-use drill bits in various diameters and lengths, as singles or in multi-purpose drill bit sets.

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And finally, when drilling into any material, don't forget your safety equipment. Wear protection on your hands and wear safety goggles to protect your eyes from flying debris.

Secondly, it’s important to consider if it is a big enough cost item for your target customer. If the target user amounts to 50% of your customer’s fixed cost, this is attractive - but if the target user is only 5% of the cost stack, even a 100% efficiency gain (i.e. fully remove the need for this FTE) barely moves the needle. This will also dictate how willing enterprises will be to adopt your (untested) tool, and how much they would be willing to pay for it.

So the cost is directly linked to how much text is ingested and generated per user interaction. But wait! There is one more kink - some interactions may require multiple LLM calls - for example, if a lawyer asks some legal question that spans multiple legal documents, Harvey would have to fetch several closest matches (using an embedding model) and then feed multiple chunks of text into its prompt to produce an output.

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Harvey's menu With prices pdf

This is all to say that doing the exact math on this is very tricky without seeing actual usage data, but I am going to give it a pass. Assuming ~20 words per user query, ~250 words for the chunks fetched from legal documents, and a roughly ~1,000 words in the final output, we get the following unit economics:

Our SDS drill bits come in a range of head types and diameters to suit your needs. They’re available as singles or in sets.

A screw extractor removes screws or bolts with damaged heads from materials. It works by boring into the metal of the screw or bolt so you can grip it and remove it without damaging the thread.

As mentioned in this guide, it is important to use the correct bit for the material you’re drilling to ensure you achieve the desired outcome to your DIY project.

For example, if Harvey revises its price to $5,000 / year (still a fraction of the $130K in potential new revenue for A&O), it’s gross margin will be ~90%! Is it crazy for them to charge $10K? $20K? Time will tell - but it will be largely driven by the value and impact they bring to the end customer.

My view is that for anything ‘incremental’ a horizontal tool like Microsoft Copilot will probably be suffice, so any new tool needs to be a very meaningful improvement over what incumbents will be able to offer enterprises for free.

Of course, I also had to make some assumptions around how many LLM calls per interaction (I assumed 2) as well as the number of times a day does an average lawyer uses the tool. Based on my back channel checks, Harvey currently charges around $500 / lawyer per year, resulting in a negative gross margin - not quite the “gold standard” of 80-90% of traditional SaaS.

Based on my quick back of the envelope math, it is clear that the first approach is much more preferred given the “gross margin” earned on an entry-level associate. Of course in reality, there will likely be some combination of both, but for simplicity, I provided the two book ends. We can see that there is potential to increase revenue by up to $750K or cut costs by up to $50K on a per FTE basis.

In this short essay I will explore economics behind Harvey AI, explain why it is good business for Big Law, and why other professions may not reap the same benefits.