Profile / Legal Tech / Founders
Shashank Bijapur
He quit White & Case because self-driving cars felt further along than contract review. Nine years later his company runs contracts for Airbnb.
He quit White & Case because self-driving cars felt further along than contract review. Nine years later his company runs contracts for Airbnb.
Somewhere around 2 a.m. on New Year's Eve, a corporate attorney at White & Case in Manhattan was doing due diligence on a matter he will not name, eating Chinese food out of a paper carton, and reading a magazine story about Elon Musk's self-driving cars. The attorney's job at that moment consisted, functionally, of copying a paragraph from one contract into another contract and then changing the party names. He had a Harvard LL.M. He had trained under senior partners at two of the more serious law firms on two continents. He was doing keystrokes a bright undergraduate could do, at billing rates undergrads could not.
This is the founding scene of SpotDraft, told by Shashank Bijapur roughly the way he tells it in podcasts, and it works as founding scenes go because the small detail (Chinese food, Elon Musk) does the work of the big claim (legal work has too many keystrokes). Bijapur left. He co-founded SpotDraft in 2017 with Madhav Bhagat and Rohith Salim. The company now employs around 330 people, has raised roughly $90 million across seed, Series A, and Series B, and counts Airbnb among its customers. It is what people in venture decks call a contract lifecycle management platform, or CLM, which is the enterprise-software way of saying software that reads, writes, sends, signs, tracks, and remembers your contracts so that you do not have to.
The path is Mumbai to Cambridge to Manhattan to Bangalore, which is a fine sentence but skips the interesting part in the middle.
Corporate lawyer at Talwar Thakore & Associates, Mumbai.
Harvard Law School LL.M. program.
Corporate associate at White & Case, New York.
Co-founds SpotDraft with Madhav Bhagat and Rohith Salim.
Closes Series B round, scales past 250 employees.
Featured on the LawNext podcast. Customer count crosses 400.
There is a version of the SpotDraft story where the founder is a computer scientist who thought contracts looked lucrative. This is not that story. Bijapur is a lawyer. He practiced in Mumbai at Talwar Thakore & Associates. He then got an LL.M. from Harvard Law in 2012, the M being a masters that non-US-trained lawyers get so they can sit for the New York bar. He joined White & Case in New York and worked on corporate transactions, which in a big US firm involves a great many contracts and a great many hours reading and re-reading and cutting and pasting clauses that everyone in the room already knows by heart.
This is the useful thing about being your own first user: you already know what the product should do. Bijapur has said, in various interviews, that the years of practicing corporate law gave him a good understanding of the everyday challenges lawyers face. What he does not always say, but is implicit in the story, is that they also gave him the specific irritation required to spend eight years fixing them.
Every AI company has an origin technology, and every AI company's origin technology is usually not the technology it ships. Bijapur has said that SpotDraft's first attempt at AI-driven contract review was, as he put it, about as accurate as a coin flip. That is a bad accuracy rate for a contract review product. A coin does not need a Series B.
The company pivoted. In telling the story on the LawNext podcast in July 2025, Bijapur credits the customers who stayed on during the not-actually-working phase and helped co-build the product. This is a small detail that says a lot about how the company got to 400+ customers: the early ones were treated as collaborators, not marks. It also says a lot about Bijapur's temperament. He is happy to admit the AI did not work at first, in public, on a podcast, in a category that is otherwise wall-to-wall confidence.
Bijapur has talked, in a Blume Ventures commentary, about the importance of outbound sales, the perils of being lazy about pipeline, and building guardrails as the company scales. Outbound sales - cold email, cold calls, list-based prospecting - is the unfashionable sibling of inbound growth marketing. Founders like to talk about product-led growth because it sounds like the product did the work. Bijapur is on record saying his product did not do the work by itself, at least not early. Someone had to send the emails.
The other thing he has said, more than once, is that the hard part of a B2B contract is not closing it. The hard part starts after the signature: onboarding, adoption, expansion, renewal. Contract software people, of all people, should know this.
The company sells a platform used by in-house legal teams to draft contracts from templates, review third-party paper, route approvals, collect e-signatures, and then store the whole thing in a searchable repository from which reports can be generated and renewals can be tracked. It plugs into Salesforce, HubSpot, Slack, Microsoft Word, and Microsoft Teams, which are the four applications the average in-house counsel is looking at when they are not looking at a PDF. It has features called things like AI redlining, AI clause extraction, and AI contract review, and the marketing pages contain sub-pages for legal, sales, procurement, HR, and finance teams, which is how SaaS categorizes its buyer personas.
The category is competitive. Ironclad, Icertis, Docusign CLM, and a long tail of others sell into the same buyer. Bijapur's bet, from the outside, appears to be that a product built by lawyers who felt the pain personally will read the workflow better than a product built by generalist enterprise software people trying to reverse-engineer the pain from a Gartner report. Whether that turns out to be the durable moat is the sort of thing Series B founders find out during Series C.
SpotDraft is on paper a New York company. It is, in practice, also a Bangalore company, with a large chunk of its engineering and operations there. Bijapur runs the go-to-market side from the US and the product-building side largely from India. This is now a common template for Indian founders selling into US enterprise, and Bijapur is one of the ones making it look reproducible. The Series B round was led by Premji Invest, which is the family office of Wipro founder Azim Premji and probably the single most focused Indian institutional investor in the crossover-into-US-enterprise thesis.
Bijapur is a member of the Forbes Business Council. He hosts an event called SpotDraft Summit and has said, in interviews, that talking to actual in-house counsel at the summit is his favorite part of the job. This is a fairly common thing for CEOs to say and a slightly less common thing for CEOs to actually mean. Read enough Bijapur interviews and a pattern emerges: he prefers to describe the work in terms of what lawyers are freed from, not what the software does. It is a subtle framing choice - selling relief from mundane work is a different pitch than selling AI capability - and it is probably the closest thing to a differentiated market position his company has.
He has been consistent, in public, about one philosophical point. Humans, he has said, must remain at the center of legal work. AI, in his framing, is an enhancement. This is not the most exciting thing an AI CEO can say in 2026. It is, however, probably the most defensible one if your customer is a general counsel with signing authority and personal legal liability. Contract software sold to lawyers is not sold on speed alone. It is sold on the assurance that no one will get fired for using it.
Bijapur's stated ambition is straightforward: free legal teams from the mechanical parts of contracting so they can do the parts they trained for. Whether that is enough to build a durable public company or the polite version of a much bigger ambition, only the cap table knows. But the story he tells about the origin - Chinese food, self-driving cars, copy-paste at 2 a.m. - is the sort of story a founder tells when the annoyance is still very close to the surface. That tends to be a good sign.
Illustrative, not audited. Based on Bijapur's public descriptions of associate life at White & Case.
Software that reads, writes, sends, signs, tracks, and remembers a company's contracts so an in-house counsel can spend the day on the ones that actually matter.
Competitors: Ironclad, Icertis, Docusign CLM, ContractPodAi, and a long tail.
Bijapur's angle: founder was the buyer. Product was built by lawyers who lost enough weekends to know exactly what to automate first.
How are people building tech for self-driving cars, yet here I am, copy-pasting words on a contract?On the founding moment
Humans must remain at the center of legal work.On the role of AI in legal work
Free legal teams from mundane tasks and enable them to focus on strategic work that leverages their actual training and expertise.On what SpotDraft is really for