eBrevia Pitch Deck: 8-Slide Breakdown

See all 8 slides of the eBrevia pitch deck — a Legal Tech deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

eBrevia presents a lean, 8-slide deck designed for a quick pitch environment, likely a demo day or startup alley event. The narrative is driven by the transition from manual 'entrepreneurial pain' to automated efficiency. Rather than getting bogged down in the mechanics of its NLP engine, the deck prioritizes social proof, citing a major partnership with Donnelley Financial Solutions and specific efficiency gains—such as saving two-thirds of review time. While it lacks traditional venture slides like a detailed team bio, financial projections, or a specific funding ask, it excels at establish…

Key takeaways

The eBrevia Pitch Deck: A Study in Brevity and Proof

The eBrevia deck is a specialized example of a 'short-form' pitch. At only 8 slides, it is designed to be consumed in under three minutes. It avoids the common pitfall of over-explaining the 'how' of artificial intelligence and instead focuses heavily on the 'who' and the 'what'—specifically, who is using it and what measurable results they are seeing. For a B2B SaaS company in a conservative industry like law, this focus on credibility is the correct strategic choice.

Slide 1: Title and Core Function

The cover slide is functional and direct. It features the eBrevia logo with the tagline 'intelligent contract analytics.' The bottom of the slide contains the clear value proposition: 'Automated Data Extraction From Contracts.' By using a photo of a massive stack of paper next to a laptop, the company immediately signals the transition from analog to digital efficiency.

Slide 2: The Problem (Origins)

Slide 2, titled 'Origins: Entrepreneurs’ Pain,' uses a stock image of an exhausted professional asleep at his desk. While simple, it effectively communicates the 'drudgery' aspect of manual contract review. It frames the startup not just as a tool, but as a solution to a human problem—burnout and inefficiency in professional services.

Slide 3: Market Reach and Verticals

This slide is crucial for showing the breadth of the application. eBrevia identifies four distinct pillars: Contract Management (Corporate Legal), Due Diligence (Law Firms/LPOs), Lease Abstraction (Real Estate), and Auditing (Accounting). By mapping the product to these four specific workflows, they demonstrate that their TAM (Total Addressable Market) is not just 'lawyers,' but any industry dealing with high-volume document obligations.

Slide 4: The Solution and Technology

Slide 4 explains the 'Solution: eBrevia Contract Analytics.' It lists three technical advantages: 1. Deployment of machine learning and NLP. 2. Extraction of concepts regardless of specific words used. 3. A 'highly trainable' system that grows smarter with use. This is the only slide that touches on the technology, and it does so by focusing on the benefits of the tech (flexibility and improvement over time) rather than the underlying architecture.

Slide 5: Customers and Strategic Partnerships

This is arguably the strongest slide in the deck. It claims a customer base of Fortune 500 companies and global law firms. Most importantly, it features a large logo for Donnelley Financial Solutions , stating a formal partnership. For a startup, showing that a multi-billion dollar incumbent is willing to put their brand next to yours is a massive de-risking signal for investors.

Slide 6: User Testimonials and Metrics

Slide 6 provides the 'proof in the pudding.' It features four quotes from different sectors. The most impactful figures are:

'save about two-thirds of the time' (Counsel, NY law firm) · 'cuts down on time by performing 50-60% of the work upfront' (Partner, M&A law firm)

These specific percentages transform the pitch from a vague 'we are faster' to a concrete 'we are a 2x-3x productivity multiplier.'

Slide 7: The 'Favorite' Customer Quote

Slide 7 is a bold choice, featuring a single large quote from a Senior Associate at a Large Law Firm: 'Being able to extract the Assignment and Change of Control provisions from all the documents was ing awesome!' While the use of censored profanity is unconventional, it serves to highlight the genuine relief and 'magic moment' the product provides to its actual users.

Slide 8: Contact and Locations

The final slide provides contact information for CEO Ned Gannon and lists office locations in Stamford, New York, and San Francisco . This indicates a multi-city presence, which suggests a level of scale and operational maturity, even though the deck does not explicitly state the headcount or company size.

What Works in the eBrevia Deck

Specific Use Cases: By breaking the market into four specific buckets (Slide 3), eBrevia avoids the 'boil the ocean' trap. They show they understand exactly where their software fits into existing professional workflows.

Quantifiable ROI: The inclusion of specific time-saving percentages (Slide 6) is the most important part of the deck. In B2B sales, you are selling a return on investment. If a partner at a law firm can bill more or work less because of your tool, the tool pays for itself.

Social Proof: The Donnelley Financial Solutions partnership (Slide 5) acts as a massive validator. It tells the investor that the product has already passed the 'enterprise-grade' test.

What is Missing from the eBrevia Deck

The Team Slide: This is a significant omission. In early-stage fundraising, the 'who' is often as important as the 'what.' There is no information about the founders' backgrounds, their technical expertise in NLP, or their experience in the legal industry.

Financials and Traction: The deck mentions 'Fortune 500' customers but does not provide a revenue run rate, growth percentages, or churn metrics. Investors would need to see the actual business performance behind the testimonials.

The Ask: There is no slide indicating how much money the company is raising, what the valuation expectations are, or how the funds will be allocated (e.g., hiring, sales expansion, R&D).

Competition: The legal tech space is crowded with players like Kira Systems and Luminance. The deck does not address how eBrevia differentiates itself from these competitors or what its 'moat' is.

Lessons for Founders

Focus on the 'Magic Moment': Slide 7 is a great example of capturing the emotional payoff of a product. If your software solves a truly painful task, find a way to express that relief in your deck.

Use Proxies for Trust: If you don't have millions in revenue yet, use partnerships and high-profile testimonials to build trust. One quote from a 'Partner at a Global Law Firm' is worth more than ten slides of technical diagrams.

Tailor the Length to the Venue: This deck was likely for a 'Startup Alley' or a quick-fire pitch competition. It is a reminder that you don't always need 20 slides. If you can prove the problem is real, the solution works, and people are paying for it, you have done 90% of the work.

Frequently asked questions

What is eBrevia's core value proposition?
eBrevia provides 'intelligent contract analytics' by using machine learning and natural language processing to automate data extraction. According to Slide 4, the software is designed to extract legal concepts based on meaning rather than just keywords, allowing it to function regardless of the specific language or document structure used. The primary value is time reduction in high-volume document review tasks.
Which industries does eBrevia target?
The deck specifies four key segments on Slide 3: Corporate Legal Departments (Contract Management), Law Firms and LPOs (Due Diligence), Commercial Real Estate Firms (Lease Abstraction), and Accounting Firms (Auditing). Slide 5 further notes that their customer base includes Fortune 500 companies and global law firms, indicating a focus on enterprise-level clients.
How does eBrevia quantify its impact on productivity?
The deck relies on qualitative testimonials backed by specific percentages on Slide 6. One New York law firm counsel claims a time savings of 'two-thirds,' while a partner at an M&A-focused firm states the software handles '50-60% of the work upfront.' These metrics provide a concrete ROI narrative for potential buyers and investors.
What major partnerships are mentioned in the deck?
Slide 5 highlights a significant partnership with Donnelley Financial Solutions (DFIN). This is a critical piece of evidence for a startup, as it suggests their technology has been vetted and integrated by a major incumbent in the financial and legal data space, serving as a proxy for technical due diligence.
What essential pitch deck elements are missing from this presentation?
This is a 'pitch alley' deck, meaning it is intentionally brief. However, for a full investment round, it lacks a Team slide (crucial for showing founder-market fit), a Market Size slide (to show the scale of the opportunity), a Business Model slide (explaining how they charge), and a specific 'The Ask' slide detailing how much capital they are raising.
Cover slide of the eBrevia pitch deck
eBrevia pitch deck, slide 1

eBrevia pitch deck: the facts

Company
eBrevia
Year
Not stated
Stage
Unknown (Startup Alley Pitch)
Slides
8
Sector
Legal Tech / AI
Deck type
Demo Day / Short Pitch
Outcome
Acquired by DFIN (Donnelley Financial Solutions) in 2018 (Source: External industry knowledge, not in deck)
Headquarters
Stamford, CT

eBrevia pitch deck PDF

The full eBrevia deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the eBrevia pitch deck was used for

This deck is eBrevia’s **Startup Alley Pitch** for its AI-driven contract analysis platform, presented around 2017 in the legal tech ecosystem; external sources confirm eBrevia was one of the startups in the first ABA TECHSHOW Startup Pitch Contest in 2017. It showcases an automated contract review and analytics solution that extracts data from complex legal documents to save time and reduce manual review costs, aimed at law firms, corporations and financial institutions. By 2017, the company had already raised seed funding and established partnerships, including an early relationship with Donnelley Financial Solutions (DFIN), which began partnering in 2015 and investing in 2016 before later acquiring the company. The deck likely focused on raising additional early-stage capital and/or strategic partnerships on the back of its AI technology and growing traction in contract analytics.

Business model: Provider of **AI-based contract analysis and data extraction software**, used for automated review and analytics of legal and commercial documents by law firms, corporations, audit/consulting firms, and financial institutions.

Lead investor
Connecticut Innovations led the $1.5 million seed funding round in 2014.
Investors
Connecticut Innovations (lead investor in the 2014 seed round)., Undisclosed private investors participating in the 2014 seed round., Donnelley Financial Solutions (DFIN) as a strategic investor in 2016 before full acquisition.
Founded
2011
Founders
Ned Gannon, Adam Nguyen, Jake Mundt.
Headquarters
Stamford, Connecticut, USA
Industry
Legal tech / AI-based contract analytics.

Round: Seed-stage / early venture-backed startup (post-2014 seed round, with strategic investment by DFIN in 2016).

Year: 2014 for the documented $1.5 million seed round; DFIN’s strategic investment followed in 2016, and the acquisition occurred in late 2018.

Raising: The Startup Alley pitch appears to have been part of broader efforts to secure early-stage capital and strategic partnerships following the 2014 seed round, but no specific new raise amount tied uniquely to this deck is externally documented.

Raised: $1.5 million in seed funding in 2014, bringing total funding to $2.1 million at that time; total venture capital raised is later described as $4 million before acquisition.

Total funding: eBrevia raised **$1.5 million** in seed funding in 2014, bringing total funding at that time to **$2.1 million**. A later DFIN case study describes total venture capital raised as **$4 million** before acquisition.

Use of funds as presented: For the 2014 seed round, eBrevia indicated it would use the funds to advance its enterprise technology for automated contract review and analytics, including product development and growth efforts, although detailed allocation of proceeds is not specified beyond supporting innovation and expansion in contract analytics.

What happened after the eBrevia deck

Following its early funding and product development, eBrevia became a leading provider of AI-based contract analytics and formed a strategic partnership with Donnelley Financial Solutions (DFIN) in 2015, with DFIN investing in 2016; in December 2018, DFIN completed the acquisition of eBrevia in a deal valued at approximately $23 million, with a net upfront purchase price of $19.5 million in cash p

What the eBrevia deck got right

What could have been stronger

How an investor would read this deck

What draws attention

Risks that stand out

Questions this deck invites

What founders can take from the eBrevia deck

eBrevia pitch deck: common questions

What does eBrevia do?

eBrevia is a legal tech company that provides **artificial intelligence-based data extraction and contract analytics software**, helping organizations automatically review and analyze contracts and other legal documents. Its platform uses machine learning and natural language processing to identify and extract key provisions, reducing the time and cost of manual contract review for law firms, corporations, and financial institutions.

Who founded eBrevia and when?

eBrevia was **founded in 2011** by **Ned Gannon, Adam Nguyen, and Jake Mundt**. The company is headquartered in **Stamford, Connecticut**, and focuses on AI-driven contract analysis and management solutions for legal and corporate clients.

How much funding did eBrevia raise and from whom?

In **November 2014**, eBrevia announced it had raised **$1.5 million in seed funding**, led by **Connecticut Innovations** with participation from private investors, bringing its total funding at that time to **$2.1 million**. A later DFIN case study states that the company ultimately raised **$4 million in venture capital** before its acquisition.

What happened to eBrevia after this pitch — was it acquired?

Donnelley Financial Solutions (DFIN) began partnering with eBrevia in **2015** and invested in the company in **2016**. In **December 2018**, DFIN agreed to acquire eBrevia for a net upfront purchase price of **$19.5 million in cash**, with up to **$4 million** in additional contingent consideration based on performance, for a total potential deal value of **$23–23.5 million**. The acquisition closed on **December 27, 2018**.

What were the financial terms around eBrevia’s exit?

According to a DFIN case study, eBrevia had raised **$4 million** in venture capital by the time of its acquisition, and the acquisition deal size was **$23 million**, with DFIN’s net upfront purchase price described as **$19.5 million** plus up to **$4 million** in earn-out payments. These amounts refer to the acquisition transaction, not to a primary fundraising round by eBrevia itself.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

eBrevia pitch deck slides

eBrevia pitch deck slide 1 of 8
eBrevia pitch deck — slide 1 of 8
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eBrevia pitch deck — slide 2 of 8
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eBrevia pitch deck — slide 6 of 8

What each slide of the eBrevia pitch deck says

Slide 1

€BREVIA | intelligent contract analytics Ea Automated Data Extraction From Contracts

Slide 2

Origins: Entrepreneurs’ Pain 4 a S— o> FE — : [e B R E \' I A ngannon@ebrevia.com | ebrevia.com

Slide 3

a eBrevia’s Reach = Fo \ | A .. & 4 a ©. . ~ ==! gE, va, o° — LN g Corporate Legal Departments | a | Law Firms, Consulting Firms, LPOs — re . BOP = - a ED 3 I. : °" » >” - Commercial Real Estate Firms Accounting Firms e B R EV I A | ngannon@ebrevia.com | ebrevia.com

Slide 4

Solution: eBrevia Contract Analytics Deploys machine learning & natural language processing [>a] Extracts legal concepts regardless EE a ® of specific words used and a = ocation in documents Es I] # location in d am od | Highly trainable to fit specific [TH industries & grows smarter with use e B R EV I A | ngannon@ebrevia.com | ebrevia.com

Slide 5

Customers & Partners Partnered with: [> Donnelley Financial Solutions e B R EV I A | ngannon@ebrevia.com | ebrevia.com

Slide 6

Using eBrevia’s software, | was able to eBrevia is fast and very helpful because save about two-thirds of the time in my you can keep track of all of your review.” review.” In-house counsel, leading global accounting firm Counsel, New York corporate law firm Our team loves eBrevia’s product. It's very easy to use.” CEO, commercial real estate firm e B R E \' | A ngannon@ebrevia.com | ebrevia.com

Slide text above is read directly from the eBrevia deck PDF embedded on this page.

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