On 3 September, more than 200 legal industry leaders – from commercial leaders to those responsible for AI implementation within their firms – gathered at Berns in Stockholm for Aloi’s inaugural Legal Intelligence Forum. The Forum explored how AI is reshaping the legal profession and what will continue to matter as increasingly capable AI models become widely available inside firms.
The programme featured two panel discussions – one on the commercial implications of AI for law firms, and the other on the technology needed to support the next generation of legal AI – alongside the unveiling of our new Atlas Negotiation Platform.
Atlas analyses a firm’s proprietary knowledge to identify how comparable provisions, risks and negotiation issues have previously been handled, then brings those patterns into new negotiations through contextual risk analysis, scenario assessment, alternative positions and negotiation guidance grounded in the firm’s own experience.
A common theme ran throughout the day: as access to capable AI becomes table stakes, where will lasting advantage come from?
From information retrieval to Decision Intelligence
The first generation of legal AI focused on the production layer of legal work: helping lawyers with drafting, emails and review more efficiently. These capabilities are now increasingly accessible across the market.
The next opportunity sits inside the law firm or legal team itself: the accumulated experience of its people, matters and decisions. This is what made these organisations leaders in their fields to begin with. At Aloi, we make that experience available when the next decision is made.
It is what we call Decision Intelligence. By ingesting a firm's full dataset, we can understand how lawyers have previously assessed risks, taken positions, negotiated issues and reached decisions – and bring those patterns to the forefront of the matter at hand.
WATCH JOHAN HÄGER ON THE NEXT ERA OF LEGAL AI
What will differentiate the next generation of law firms?
The first panel included Niklas Eriksson of Roschier, Erkki-Antti Sadinmaa of Avance, Christian Sundell of Cirio and Henrik Wehrs of A&O Shearman, moderated by Johan Häger.
We started with the premise: AI is making the production of legal work faster, cheaper and more accessible. So what remains scarce?
The panel explored how differentiation is now moving beyond production – towards judgement, trust, specialist experience and a deeper understanding of the client and their business. For clients, the question is shifting from whether a firm can produce an answer to whether it can understand the context, exercise sound judgement and stand behind its advice.
This points towards a broader shift in what firms need from AI: technology that can make the experience and judgement accumulated across a firm available when decisions are made.
Bringing Decision Intelligence into negotiation
The Forum also marked the first public demonstration of Atlas, our new Negotiation Platform.
Atlas brings Decision Intelligence into one of the most consequential parts of legal work: the negotiation. It analyses a firm’s proprietary knowledge to understand how comparable risks, provisions and negotiation issues have been handled before, and brings that experience into the context of a new deal.
With Atlas, we move beyond the traditional process of manually searching for the documents most relevant to a negotiation. Instead, Atlas looks at how similar issues have been approached in the past – and what that experience tells a lawyer about the decision in front of them.
Atlas makes the experience of an entire firm available to the lawyer at the point of negotiation: helping them understand which risks to take, which to mitigate and where the firm has taken a position before.
WATCH THE ATLAS DEMONSTRATION
What does legal AI still need to build as foundation models continue to evolve?
The second panel brought together Daulton Cockerell of Weil, Mia Ihamuotila of Castrén & Snellman, Rodin Lie of Wiersholm and Olivia Ragnfrid Lindersen of Bech-Bruun, moderated by Kamil Saykali.
The discussion explored what the legal AI industry still needs to build as foundation models become increasingly capable. The focus moved beyond the models themselves towards the data, context, infrastructure and workflows needed to make AI genuinely useful in legal work.
As AI moves towards supporting more complex legal tasks, the challenge becomes understanding the context around a problem – including a firm's own knowledge and experience – and bringing that into the workflow while keeping lawyers firmly in the loop.
When everyone has access to powerful AI, what will make a firm different?
For Aloi, the answer starts with something firms already have: their own data, experience and history of decisions.
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