🧙🏼 Towards multi-agent systems

Happy Monday, wizards.

Here’s the most interesting things happening in AI today.

DARIO’S PICKS

1. OpenAI showcasing how to build better multi-agent systems

OpenAI has released Swarm, a framework that explores ergonomic, multi-agent orchestration. It showcases how developers can manage interactions and handoffs between multiple AI agents.

Imagine different AI assistants (e.g. “Customer service rep” and “Sales agent”), each with their own roles and instructions, working together smoothly. Swarm makes it easier to orchestrate the transfer of control from one such assistant to the other, all while giving fine-grained control and maintaining the necessary context for each assistant, in a workflow or product.

Swarm is currently available to developers on GitHub, ie. it requires coding knowledge and isn’t a product with a user interface that you can try out directly. It is primarily meant as an educational framework and not intended for production (also it does not use the Assistants API).

‎ Why it matters‎ ‎ We’re moving towards AI agents – systems that aren’t just intelligent but can interact with the “outside world” and perform tasks from start to finish. OpenAI is exploring more modular and collaborative ways to let developers build such systems – something which could make AI way more useful across various industries.

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DARIO’S PICKS

2. Four real-world use cases of AI in legal services

I’m continuing my exploration of the world’s most impactful real-world use cases of AI.

Today, I’ve looked at AI in the realm of legal services. According to a recent report by Ironclad, over 70% of legal professionals trust AI and are already using it to enhance their work. AI in Legal is reducing tedious tasks, improving accuracy, and even helping to alleviate job dissatisfaction by allowing lawyers to focus on more strategic matters.

Here’s 4 companies I’ve identified that have found distinct, high-value use cases for their industry, by leveraging models from OpenAI, Anthropic and Google.

• Harvey, an AI platform for law and professional services firms, partnered with OpenAI to build a custom-trained case law model. It has enabled its AI to assist with complex legal reasoning, contract review, drafting legal documents, and case law research. Their model has proven to be significantly more accurate and thorough than standard GPT for legal professionals, reducing errors like hallucinations and providing detailed, source-cited responses.

• Ironclad uses OpenAI’s tech to power their AI assistant, a contract lifecycle management tool that identifies and redlines contract irregularities. The integration allows legal teams to reduce contract redlining time from 40 minutes to 2 minutes, improving efficiency without replacing human oversight.

• Steno uses Anthropic’s Claude 3 Opus to power its Transcript Genius platform, enabling attorneys to quickly search, analyze, and extract insights from legal transcripts—word-for-word records of court hearings, depositions, and legal proceedings. Their solution centralizes transcript storage and, with a 200K context window, efficiently handles these lengthy, unstructured documents, saving attorneys a lot of time in preparing for depositions (formal witness questioning).

• Justicia Lab uses Google’s AI technology to power an assistant that helps immigrants and asylum seekers by analyzing legal documents. Users can upload photos of important documents—such as immigration letters or notices—and the AI extracts key information (e.g. important deadlines, eligibility for immigration relief, etc) and provides personalized guidance on next steps.

‎ Why it matters‎ ‎ Rather than replacing jobs, it seems that—at least so far—AI's main contribution in Legal is making work more accurate, efficient and enjoyable.

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