One of the methods to promote a book if you wrote one is to provide excerpts to various newsletters, so I thought what better way to do it then to include it in my own newsletter. I selected an excerpt from Chapter 10 as it is timely and holds huge potential for legal professionals. The idea for this chapter originated from my own recent experiments with one of the latest Swedish AI success stories: lovable.dev. 🇸🇪
I was blown away by how much you can now create by simply conversing with an no code/low code AI powered chatbot.🤖 I started to see the potential for a new venture that I could start by leveraging my previous lessons learned while iterating daily with a 24/7 sparring partner. Various versions for different legal tools were generated during that sparring and I spent many hours tweaking the code and setting up the back end of various products to have a workable demo. I must say that “tweaking the code" does not mean that I was able to code or review the AI-generated code myself; rather, it means I was conversing with the AI in natural language to adjust features, the front end, or back-end APIs.
Source: Lovable
Nevertheless, this exercise clearly showed the tremendous evolution happening in the field and although you would still need human developer for a full fledged new venture, starting with this type of AI to test various assumptions and iterate until you feel you have something that can be tested with users, is an amazing tech advancement. This was made possible by AI and it is a great example for those pessimistic voices who only see dangers and job disruptions caused by AI. I think we need to start thinking about the potential and the opportunities much more then we are doing it today when we spend most of our time either being too optimistic about AI or too pessimistic. Both states of mind are not helping in charting the right and most viable trajectory for human evolution. 🧬
This being said, I am including below a few example with the products I built in minutes which in the past would have taken months. ⏳
Below is an excerpt from the Legal Automation Book: form Bottlenecks to Bots by Vasile Tiple, former General Counsel and Head of Legal Automation at UiPath Inc.
Source: Amazon
“Future-Proofing Legal Operations. Insights into AI, LLMs, and Next-Gen Tools
I was thinking what the right way would be to start the discussion about the amazing new AI wave which is redesigning various industries and will disrupt all jobs regardless of their collar, including the legal industry. The best way I could think of to highlight the potential for legal professionals to leverage AI beyond just what we already discussed in this book around robotic process automation and deployment of software robots for various legal workflows, or other AI initiatives around generative AI and the vast opportunities presented there around improved productivity, research, and reasoning by lawyers interacting with chatbots, was by presenting a practical case of how AI is already redesigning everything we do beyond just being a productivity helper. AI can now be even your own legal infrastructure developer.
What do I mean by that? Lawyers can now build their own solutions in-house for basic automation and digitization by using natural language with no-code and low-code tools such as lovable.dev1 or v0.dev.2 With the help of these developer AI tools, you can easily build the minimum viable product (MVP) or demo by just chatting with the AI as you would talk to a developer willing to listen to a lawyer (there probably is such a developer somewhere!).
Once you build the solution with the parameters needed to best support the process or workflow you have in mind, you can then make your case to your internal stakeholders for the needed specific, clear, and low-budget resources, presented with the demo of the solution and the KPIs and benefits a production-ready solution will bring. In this way, you essentially build the solution from scratch based on your specific needs and requirements, using your internal know-how and resources without the need to allocate huge budgets for outside vendors offering point-specific solutions which may be expensive, not matching or corresponding to your specific needs, and which would require RFPs, evaluation, selection, contracting, onboarding, training, maintenance, recurring payments, security and privacy validations, adjustments with additional professional services and costs, etc.
This contrasts with how we at UiPath made the Salesforce platform work for our legal contract management needs back then. We didn't have AI tools, so we used the traditional approach – Joachim (Head of Sales) and I presented the idea to our CFO, Mihai, who understood the need and benefits and approved the cost. At that point, budgets were less formalized; showing the benefits often led to approval without lengthy business cases. Because we didn't have internal developers to spare, the small cost to hire someone externally for a temporary project was ideal. But the underlying idea – identifying a need and building a solution – is the same; only the execution is different, while the tools at your disposal now are more potent, agile, visual, fast, and smart.
Considering this, I have included below the conversation for three simple tools I have built with the help of AI (lovable.dev): VisualTwin for policies/contracts, an EU AI Act compliance tool, and a document management tool. The specific tools will change rapidly, but the capability (AI-assisted low-code/no-code development) is the key trend to watch and leverage.
Example 1: VisualTwin
Vasile (Concept): Build an app to transform complex text (policies, contracts) into simple visual representations (actions, roles, responsibilities).
ChatGPT Refined Description (Input for Lovable): (Summary) App Name: VisualTwin. Vision: Create intuitive "Visual Twins" from dense documents. Problem: Difficulty communicating complex docs. Solution: No-code AI app uploads docs, extracts/summarizes key points into structured text, supports visualization via integrations. Key MVP Features: Upload, AI extraction, structured output, export/sharing. Tech: Lovable AI, Zapier/Make, Miro/Lucidchart etc.
Lovable (Response & Approach Summary): Acknowledged vision (Apple-like simplicity). Proposed V1 features:
Document upload with elegant drag-and-drop interface
AI document processing visualization
Structured summary display with clean typography
Visual diagram generation (initial version)
Export functionality (Commented on design direction: clean layout, subtle accents, smooth animations) Let me build a polished first version!
And voila:
Source: Lovable
Example 2: EU AI Compliance App
Vasile (Input to Lovable): Easy, minimal web app for retail/e-commerce/marketing to ensure EU AI Act compliance via short questionnaire generating tailored documents (Notices, Policies). Secure Supabase backend. Must be intuitive, no tech expertise needed.
Lovable (Response & Approach Summary): Acknowledged vision (Apple/Dieter Rams simplicity). Drew inspiration from Notion/Linear. Proposed V1 features:
A streamlined onboarding experience and questionnaire flow
Document generation system with preview functionality
Simple account dashboard to view and manage documents
Clean, intuitive document viewer with download options
(Lovable's Result Description): Created a minimalist AI compliance application with a beautiful landing page and interactive questionnaire flow...
And voila:
Source: Lovable
Example 3: Document Management App
Vasile (Input to Lovable): Create an app for easy Word/PDF editing and eSignature.
Lovable (Response & Approach Summary): Acknowledged vision (elegance, user-focus of premium tools). Proposed V1 features:
A clean, intuitive dashboard for document management
Document editing capabilities for both Word and PDF formats
E-signature functionality with a smooth signing experience
Document preview with high-quality rendering
(Lovable's Result Description): I've created a clean, minimalist document editing and e-signature app...
And voila:
Source: Lovable
Impressive, right? (Lovable also provides generic 'What's next?' guidance like Refine, Add Backend, GitHub Sync, Debug etc.) It is important to remember the potential here; these examples generate workable demos, not just static sketches. It's a great way to brainstorm, validate ideas with stakeholders, understand limits, and refine requirements before committing significant resources for production use.
Looking further ahead, we are close to having AI agents capable of handling complex tasks autonomously. Imagine validating an AI-generated MVP, then having that AI coordinate specialized agents (backend, integrations, database, legal, HR, etc.) to create the production-ready version. We are on the road to potentially seeing billion-dollar companies managed by a few people helped by thousands of AI agents. The implications are staggering for all industries, potentially upending employment, and culture as we know it today if not managed properly.
This rapidly accelerating technological environment is full of both opportunity and disruption. It also underscores the essential need for strategic thinking that goes beyond immediate fixes. Future-proofing and maintaining continuous efficiency requires balancing today's needs with a clear view of tomorrow.
Actionable Steps to Prepare for the Future
As we have seen in the previous section, it is imperative to prepare for the future that many might say is here already. Technological change (especially in AI) is accelerating weekly (if not daily), presenting both huge opportunities and significant challenges and responsibilities for legal professionals. Why legal professionals? Because they are the only properly equipped category of professionals to understand how the legal rules can support responsible and ethical AI development and navigate the inevitable large-scale adoption challenges. If legal professionals are not ready to tackle what AI means and brings to society, the task will fall on developers and lawmakers who might not be proficient enough in how the law works and what its internal mechanics and principles are. Although the future might seem overwhelming and our role insignificant, this is not true.
Each of us has a role and is able to influence within their own environment how AI works and it is used, even if only a handful of legal professionals can also influence how AI is developed: yes, I mean the talented individuals at OpenAI, Google, Meta, Amazon, Anthropic, Mistral etc. To prepare for the future (which is already here), we need to identify the practical, actionable steps that any legal team or professional can start taking today, regardless of current resources or tech maturity.”
The book can be pre-order on Amazon or by following this link: https://www.amazon.co.uk/Legal-Automation-Book-Bottlenecks-Bots-ebook/dp/B0F9YPJB8M
I hope you enjoyed this sample from my upcoming book to be released on June 30, 2025. I you pre-order it now, you will lock in a discounted price. In any case, let's keep the conversation going.
I am really curious to see what you have in mind in building, so please feel free to connect. Hit reply, or find me on LinkedIn—let’s exchange ideas and maybe build the next tool together.
thanks!
vasile
Lovable website, Source: https://lovable.dev/ (Accessed: June 15, 2025).
V0 website, Source: https://v0.dev/ (Accessed: June 15, 2025).