There is an elephant in every law firm’s board room right now. Very few people have any ideas about their “AI strategy”, because very few people are thinking about the strategy for their law firms. The spade of announcements about successful adoption and rollout of generalist AI tools is evidence supporting this lack of “AI strategy” at most firms.

When looking at problems that customers want to solve, we often find ourselves asking the “five whys”. Almost always, we reach the preliminary conclusion that, for lawyers, their core problem is an information problem. So, if we can retrieve better information for them, then we solve their problems.

After much contemplation, we realized that information is the old and slightly outdated answer…

More and more legal tech vendors are releasing tools with the same (or highly similar) features. Maybe it’s because gen AI makes it so easy to build. So, when everything becomes same, same, same, how do you pick the winners? And, how do you mitigate the risks of picking not a winner?

Oz Benamram issued a prediction for the market: we should be prepared for AI self-service legal chatbots in two years. How likely is this scenario to occur? Are law firms and businesses ready? Are the signs already flashing in neon red for those who are paying attention?

Even the latest LLMs remain susceptible to prompt injections. The risk is not only theoretical. We conducted a series of experiments to identify some real scenarios where even prudent lawyers may be at risk.

For those of us working with legal tech, we often find ourselves needing to build solutions (whether because a solution doesn’t exist, or nothing quite closes the last mile). This blog post shares the methods we use to discover how to “start with the problem".

Has the increased attention on Gen AI experiment and adoption been harmful to the broader legal tech ecosystem? Is Gen AI's dominance crowding out better solutions? Or are we just in an awkward but necessary transition?

The market is in a bubble. This blog post is a frank look at the forces shaping legal AI pricing — and the uncomfortable questions firms should be asking now.

With AI becoming increasingly more common in legal workflows, what will legal service consumers demand? And, as a result, how will legal service providers change their delivery framework?

If human thoughts are just another means of production, then humans can be replaced by AI. The question is not “if”, but “when”. Let’s forecast together the future of what AI adoption could mean for lawyers.

Lawyers don’t care about technology. They never had before… so why is AI getting so much attention now? What changed? Why should lawyers rethink everything they know about the business of law?

We have observed three predominant modes of engaging with LLMs that emerge naturally in practice. This blog post explores the simplified equilibria of the assistant-servant-expert spectrum of LLM interactions.

Is the glass half full, or half empty? That is a matter of perspective, and a very costly one when it comes to generative AI and its adoption at law firms.

We revamped our website in September 2025 to tell our story in a clearer voice. This is a blog that recaps how we have evolved our products and our messaging since the inception of Syntheia.

Syntheia Launches Super Comparer SaaS Platform, Pioneering Multi-Document Comparison Technology for Legal Professionals

Award-winning tool extends beyond traditional blacklining to enable comparisons and insights across multiple legal documents simultaneously

We are delighted to announce the launch of another “Generation 3” product for on-the-go document review and analysis. This Email Summarizer product was created in collaboration with an AmLaw 20 firm, and made to address adoption challenges observed with other generative AI tools that have been designed for lawyers.

We are proud to announce the launch of our first end-to-end “Generation 3” product, purpose-built for private funds lawyers. This tool was created in collaboration with an AmLaw 50 firm to address pain points their funds lawyers experienced preparing and managing side letter terms for many investors.

In our recent webinar, industry experts shared insights on the transformative power of generative AI in legal workflows. Our panelists highlighted successful use cases such as synthesizing witness statements and creating deal-closing summaries. They emphasized the importance of engaging users, fostering innovation, and ensuring ethical use of AI.

We held a webinar a few weeks ago. This webinar underscored the transformative potential of generative AI in the legal industry and the importance of thoughtful implementation and continuous learning. There were many lessons and stories shared, and you might want to spend the hour watching this to see how it might be useful inspire your own adoption of generative AI tools.

Alex Smith joins us on the third of our megatrends conversations to talk about his experiences so far, and also a little about the importance of measuring accuracy and performance. Join us for our rainy walk around Central Park.