October 12, 2026 - Issue #415

Hi, Charlie Uniman here, host of Legal Tech StartUp Focus ("LTSF"), the online community for everyone involved with legal tech startups. You're reading the latest digest of articles, opinion pieces, and other thoughts posted during the past week at the community.
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Conferences and Other Events

◾ With the Future Lawyer USA event only weeks away (it's taking place in Boston on October 28-29, 2026), here's a timely reminder of not only how proud we at Legal Tech StartUp Focus (LTSF) are to be a media sponsor of the event, but also, and even more importantly, of what's in store for event attendees.

Across two focused days, the event will bring together 300+ senior in-house counsel, law firm leaders, and legal innovators to examine how AI adoption and operational strategies are reshaping modern legal practice.

And if you're a law firm leader or in-house professional who's a member of the LTSF community, you can register for a complimentary pass. Mention Legal Tech StartUp Focus in the invitation field when registering. It only takes 30 seconds to secure your place: https://www.futurelawyerusa.com/express-registration​

See you there!

Legal Tech Start-Up Focus

Exit/M&A

◾ Legal IT Insider (LITI) posts its own end-of-the-business-week round up/wrap up for the business week ended in the UK today, October 9, 2026. From the LITI post:

"From fresh funding rounds and acquisitions to a wave of agentic AI launches, it’s been another busy week in legal tech. Pandektes and Arceus have raised multi-million Series As, Opus 2 acquired Bundledocs, and Legora, LawVu and Ivo unveiled new capabilities. Meanwhile, Nexl has a new CEO, Vorys is creating AI versions of its senior partners and Cooley is working with Google to automate one of litigation’s more painstaking tasks. And Luminance research shows that the majority of enterprise team leaders can’t explain the reasoning behind their contract terms."

Read the full post at the link → https://legaltechnology.com/legal-tech-news-roundup-major-funding-acquisitions-and-new-launches/?utm_medium=email&_hsenc=p2ANqtz-8k4VdMGJyIbQp0jljxOxmJyd38sUcco9E0MMWmGuSsaeImLiPdP7lXmSRaToiYJu9gkPgapSP4Arft2TZBftMndhczJqIWFvcsR1rlk0BLRNymzV0&_hsmi=147825767&utm_content=147825767&utm_source=hs_email​

Fundraising

◾ As reported today, October 5, 2026, by EU Startups, Copenhagen’s Pandektes, a legal research startup, raises €13.5 million in a Series A round.
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From the EU Startups website:
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“Pandektes, a Copenhagen-based LegalTech company specialising in legal research, has raised €13.5 million in a Series A funding round.
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“The round was led by Alstin Capital, a Munich-based early-stage venture capital firm with a focus on B2B software companies. The round also saw participation from PROfounders, Scale Capital, and existing investors. The Series A follows the company’s €2.9 million Seed investment announced last year.”
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€€Quote:
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“Pandektes, however, doesn’t want to be the LegalTech platform replacing legacy research platforms. It wants to be the foundational data layer for any organisation building legal technology by supplying them with accurate and structured legal data through its API.”
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Read the entire EU Startups post at this link:
​https://www.eu-startups.com/2026/10/copenhagens-pandektes-raises-e13-5-million-to-build-the-data-infrastructure-for-ai-powered-legal-research/​

◾ To those legal tech startup leaders who are wondering if their startups are "realistic candidates" for venture money, listen up: Russ Korins at the NYC-based Cohen, Tauber Spievack & Wagner law firm has teed up a "fireside chat" that's devoted to helping startups decide if they're investable.

From Russ' announcement of the forthcoming chat:

Venture Ready? Knowing If Your Business Is a Candidate for Venture Capital
A Fireside Chat with Jorge Torres, Lecturer at Yale University and Cornell Tech
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Tuesday, October 20, 12:00 – 12:30 p.m. Eastern Time
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Before spending precious time networking with VCs and pursuing venture capital, it's helpful to know whether your business is a realistic candidate for venture funding. To understand that, we need to work backwards from the goals of the venture funds themselves. And few people excel as much at explaining this as Jorge Torres, lecturer at Yale University and at Cornell Tech, and creator of the online class Venture Fluent.
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In his third fireside chat appearance, Jorge will connect the dots between what VC funds need to achieve and how founders can self-assess whether they are a realistic candidate for venture funding. It's not just about returns; it's about timing and investment theses as well. Barking up the wrong tree can be costly and distracting when another path forward—a different VC, or growing by another means entirely—would have been better.

Register to attend this event here: https://us02web.zoom.us/webinar/register/WN__sQrMB9PRUy_X9eANcZUgw#/registration​
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LegalEd

◾ The Legal Wire (TLW) has a story about, and interview with, a lawyer who, after studying engineering and English lit at Stanford (nice contrasts there), goes to work at a tech company (Qualcomm), then goes to law school, from there works in BigLaw as a private funds lawyer, progresses to a partnership at Kirkland & Ellis and Paul Hastings after K&E, and leaves practice to build a legal tech startup (SmartEsq) ". . . built specifically for the legal work that goes into raising and running private funds." Whew!!

From the TLW post:

"The origin of SmartEsq is older than the company. Esther traces it back to 2015, the year she made partner at Kirkland & Ellis. The firm was experimenting with legal technology at the time, mostly conditional-logic document platforms. To Esther, whose engineering background ran deeper than most partners’, the technology was too rudimentary. She could imagine what a more sophisticated system might look like, but what she could not do in 2015 was build one. “I did not have the resources or the time to run neural network analysis myself. I remember thinking that perhaps one day, when the technology became more accessible, we could do it.”

"That day arrived in late 2022, when ChatGPT’s launch began making large language models widely accessible. By the end of 2023 and going into 2024, she had enough concepts and pseudocode written down to bring the project forward, and she made the decision to leave private practice in 2025 to build it."

Read the entire TLW piece here (it's rather good): https://thelegalwire.ai/engineer-turned-funds-partner-turned-founder-esther-chiang-on-building-smartesq/?utm_source=newsletter.thelegalwire.ai&utm_medium=newsletter&utm_campaign=big-money-moves-in-legal-tech&_bhlid=b69e2d253446041abc6fc8cb138942e0370a83c6​

Member Introductions/Questions

◾ New LTSF community member, Muhammad Samiullah, introduces himself to our community:

"Hello everyone! Great to be here.

"I'm Muhammad Samiullah, a law student and founder of Lexvaxa, where we focus on AI automation and custom software development.

"I'm particularly interested in how AI can help law firms improve client intake, document management, and everyday operations.

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"I'm excited to connect with legal professionals, founders, and innovators, learn from your experiences, and contribute wherever I can.

"Curious to hear from the community: What's one repetitive task in law firms that you believe AI could genuinely improve?

"Looking forward to some great conversations!

If you're of a mind to answer Muhammad's question about the one repetitive task that you believe AI could genuinely improve, you can reply to his post (and offer that answer) at this link: https://network-295075.mn.co/posts/108553774?utm_source=manual​

Partnerships/Business Development​
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◾ The post (linked below) from Legaltech News (LTN) puts this development well in the introductory "blurbs" (excerpted below) to its full post today, October 9, 2026.

Here are those excerpts:

"Cooley announced Thursday that it is teaming up with Google to help create a Gemini Enterprise AI agent to assist with document redaction.

"The firm turned to Google after identifying redaction as use case for agentic artificial intelligence that had a strong potential but one that would require a heavy engineering lift.

"The collaboration adds to a fast-growing slate of partnerships between Big Law and Big"Tech."

$$Quote:

“ 'We take the product lead, if you will, and then they take the engineering lead,' Wang explained. A team of approximately half a dozen people from Cooley provide subject matter and legal engineering expertise, and Google provides the technical and AI capabilities, [David Wang, Cooley's chief innovation officer] said."

Big Law and Big Tech: a match made in Heaven, no?

Find the LTN post in full here: https://www.law.com/legaltechnews/2026/10/08/cooley-teams-up-with-google-to-co-develop-agentic-ai-redaction-tool/?kw=Cooley+Teams+Up+With+Google+to+Co-Develop+Agentic+AI+Redaction+Tool&utm_position=1&utm_source=email&utm_medium=enl&utm_campaign=morningupdate&utm_content=20261009&utm_term=ltn&oly_enc_id=6788E2252056B4A&user_id=5a62392218ff43ec508b502b​

Product Development

◾ In the US (and, of course, many other jurisdictions), lawyers act as adversaries on behalf of their clients. Whether negotiating a deal or asserting or disputing a legal claim before a decision-maker (judge, jury, or arbitrator), lawyers on the deal or dispute clash.

So, in the context of a lawyer's own work with AI, why shouldn't one AI be available to act as an adversary to contest another AI's output? And that, dear reader, is what legal tech company Pilot5 now offers, as reported in a post at Artificial Lawyer (AL).

From the AL post:

"Although a number of legal tech companies use LLM consensus and multiple model strategies already, Pilot5 and its new adversarial Legal AI product specifically taps five frontier models with ‘one assigned to attack the emerging consensus and the lawyer receives a single recommendation’ to their query.

"Moreover, the system also retains on record the strongest counterargument to any result."

Find the entire AL post here: https://www.artificiallawyer.com/2026/10/07/pilot5-launches-adversarial-ai-for-lawyers/​

◾ Here's another effort to train an AI to serve as a repository of a particular lawyer's skills, knowledge, and style. In other words, to use the phrase adopted by the Vorys, Sater, Seymour and Pease law firm that's featured in a post today, October 6, 2026, by Legaltech News (LTN): create an AI to be a particular lawyer's "persona."

From the LTN post:

"For a little over a year now global law firm Vorys, Sater, Seymour and Pease has been collaborating with Stanford's Legal Innovation Through Frontier Technology (LIFT) Lab to develop artificial intelligence personas for partners and associates at the firm.

"Personas are named after and based on specific firm partners and contain legal knowledge, judgment and context compiled from interviews between these Vorys lawyers and developers from LIFT Lab. The firm and the LIFT Lab began their relationship in September 2025 when Vorys became one of the lab's founding advisers."

You can access LTN's full post at this link: https://www.law.com/legaltechnews/2026/10/06/vorys-deploys-ai-personas-for-lawyers-says-clients-are-next-/?kw=Vorys+Deploys+AI+Personas+for+Lawyers%2C+Says+Clients+Are+Next&utm_position=1&utm_source=email&utm_medium=enl&utm_campaign=morningupdate&utm_content=20261007&utm_term=ltn&oly_enc_id=6788E2252056B4A&user_id=5a62392218ff43ec508b502b​

◾ Legaltech News (LTN) reports that Legora has added legal skills-based features to its AI agents:
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From the LTN post:
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“Legal artificial intelligence company Legora announced Monday the launch of Legora Skills, premade and custom-built instructions that tell Legora’s AI agent how to perform specific tasks.
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“Skills launched with a library containing more than 250 skills pre-built by Legora’s legal engineers, and customers can build their own skills through the agent’s natural language chat interface and based on previous work product. Pre-built skills include options like first-pass contract reviews, nondisclosure agreement triage and chronology creation.”
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$$Quote:
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“While Legora previously offered the ability to build workflows and playbooks that the platform could run, end users had to manually select the right process and make sure it was relevant to the client type and jurisdiction of their matter. Tsao said that allowing the agent to select the correct skill limits the risk of users selecting the wrong workflow or reverting to manual processes instead of searching for an AI workflow.”
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LTN’s full post here: https://www.law.com/legaltechnews/2026/10/06/legora-launches-skills-pre-built-and-custom-instructions-for-its-ai-agent-/​

◾ "Didn’t we answer this question last month?" For a legal department, finding the answer is only part of the problem. Recovering why that answer was given, and which exceptions mattered, can be harder.

As Artificial Lawyer (AL) reports, Coheso’s new Memory feature aims to capture that reasoning from completed legal requests and make it available for similar questions later. According to the company, proposed guidance requires attorney approval before it takes effect. For legal tech founders, the accompanying interview with CEO Ned Gannon raises a broader question: as AI becomes better at individual tasks, how much of a product’s lasting value will lie in the institutional judgment it helps a customer retain?

From AL’s interview with Gannon:

“What’s hard to copy is knowing how a specific legal department thinks, what it has decided before, and why.”

Read AL’s full post and interview here:https://www.artificiallawyer.com/2026/10/08/legal-front-door-coheso-launches-memory-al-interview/​

Purchasing/Using Legal Tech

◾ Artificial Lawyer (AL) posted today, October 8, 2026, about OpenAI's release of its "Decisions" AI framework, modeled after Jev. As you may know, Jev is an adaptation of how LLMs are typically used. With that adaptation, LLMs are not asked to produce language, but instead are asked to output a yes-or-no decision about whether an input should be classified as one thing or another. By not asking for language output for the use case in question, token usage and, therefore, the cost of LLM use can be significantly reduced.

What AL does in this post is not only provide a much better explanation of the Decisions framework than I provided above, but also, more importantly, explain Decisions use cases for lawyers.

From the AL post:

"First, what is Decisions? The short version is that it’s a ‘sorting system’ that uses AI, but in a much more limited way compared to tapping the full resources of an LLM. You can call it ‘AI lite’ perhaps."

"Why would lawyers want to use this? The first reason is cost – see tables below. Because these decision approaches are not digging that deeply into the LLMs they use, the token costs are much lower. For example, for now with Decisions (which relies on GPT-6-Luna) the input costs are $0.10 per 1M tokens. You pay only for input tokens: there are no cache-read, cache-write, or output-token charges. That is a big reduction in price."

You should read the full AL post, which is located here: https://www.artificiallawyer.com/2026/10/08/openai-decisions-cheaper-bulk-review-for-lawyers/?jetpack_skip_subscription_popup​

◾ Even one of the "big guys" deserves a shout-out when it scores a major customer win, and here's one, as reported by Artificial Lawyer (AL): OpenAI getting AT&T's in-house legal department on board.

From the AL post:

"AT&T LegalEdge, the telecom giant’s new inhouse legal agency, is partnering with OpenAI to develop AI-enabled legal workflows. Jason Boehmig, GM Legal Industry at OpenAI, commented: ‘We’re exploring how AI can put [their institutional] knowledge to work across the business, with lawyers’ judgment at the centre.’"

Read the full AL post at the link: https://www.artificiallawyer.com/2026/10/08/att-openai-partner-for-legal-ai-workflows/​

Startup Management

◾ NYC-based Charlie O'Donnell is a former VC who now describes himself as ". . . a coach to VCs and professional pitch deck skeptic." In today's edition (October 5, 2026) of his NextNYC newsletter, a newsletter that's devoted to connecting folks in the NYC innovation community, Charlie has a piece on when it may be time to do an "option refresh" at your startup. Good reading here.

From Charlie's writing on the option refresh:

"Every option grant looks great the day it's issued. Four years later, a chunk of your team is sitting on equity that's underwater, fully vested, or just not that interesting anymore. That's usually when good people start picking up recruiter calls. Not because they're unhappy, but because the equity stopped doing its job.
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"Most founders don't have a refresh policy. They have a vague sense that they should probably do something, and then they improvise when someone threatens to leave.

"This Wednesday, October 7th at 12:30pm ET, I'm sitting down with Chris Hoffmann, Solutions Architect at Qapita, to get specific on:

"When to start thinking about refreshes, and the signs you've already waited too long

"How to size one without blowing up your option pool

"What to do about underwater grants after a flat or down round

"How to talk to your team about it (or about the decision not to do one) without setting off a panic

"Where the admin work actually lives, so refreshes don't turn into an annual fire drill."

Here's a link to the online version of NextNYC where you can RSVP to join the October 7 conversation between Charlie and Chris Hoffman that's mentioned above: https://mailchi.mp/next.nyc/032525-10377778?e=f989338576​

Teaching/Learning Legal Tech

◾ Why did BigLaw's ArentFox recently show down its home-built AI chatbot, called AFSChat? Legaltech News (LTN) explains the reason in its post, linked below. According to LTN, when ArentFox adopted Microsoft's CoPilot, AFSChat became "redunant."

But what interested me most about this tale is that, before being shut down, AFSChat served the very important function of familiarizing ArentFox's lawyers and other legal professionals at the firm with the benefits and limitations of LLMs.

From LTN's post:

“The thing that we got the most out of this was ... about a year and plus of having people have time to play with this before we got to the point where we had bought a tool that did [similar things],” [Douglas Schulz, the firm’s director of innovation] said. “We got pretty quick adoption [of third-party tools] because, for a lot of the firm, it wasn't new anymore. It was just a better tool that did the same things.” (Emphasis added)

Access the complete LTN post here: https://www.law.com/legaltechnews/2026/10/08/why-arentfox-schiff-shut-down-its-chatbot-not-a-hard-decision-for-us-/?kw=Why+ArentFox+Schiff+Shut+Down+Its+Chatbot:+%27Not+a+Hard+Decision+for+Us%27&utm_position=2&utm_source=email&utm_medium=enl&utm_campaign=morningupdate&utm_content=20261009&utm_term=ltn&oly_enc_id=6788E2252056B4A&user_id=5a62392218ff43ec508b502b​

◾ How early should a legal tech company start cultivating its future users? For Harvey and Legora, according to George Hannah’s Best Practice newsletter, the answer is while those users are still in law school. There’s a long-term customer-development strategy here, but also a teaching question: how do students learn to use these tools while developing the judgment to spot when the tools have gone astray?

From George’s Best Practice post:

“This is a clever move. These are the places that will help shape the future workforce at large law firms, so if you can get on the good side of students early on, that familiarity of their systems might carry through to the long tail of their careers.

“For law schools, though, the challenge is more complicated. They need to prepare students for AI-assisted practice while ensuring they develop the legal reasoning needed to question what these systems produce.”

Read George’s complete Best Practice post at this link: The Race to Win Tomorrow’s Lawyers​