Dickinson Wright’s Post

Great conversation Lukas Biewald! So many valuable insights in the interview! Many of the points really resonated with me and I learned a ton from the real-world experience of Jake Heller & the #casetest team who built an innovative & one of the most successful GenAI product in the Legal space - #cocounsel Here are my key takeaways for building successful GenAI projects, based on this discussion and my own experiences. Key points from the interview: 1. Problem selection: Focus on major, real-world customer pain points 2. Advanced model selection: GPT-4 class for complex use cases. (I believe Claude 3.5, or Gemini 1.5 Pro also would be good options.) 3. Task decomposition and effective prompt engineering 4. Comprehensive dataset building, including edge cases 5. Rigorous testing and iterative improvement 6. No need for Fine Tuning (at least for them): Better prompts & extensive testing outperformed fine-tuning less powerful models like GPT 3.5 or Llama 70B. Presumably the cost overhead of Fine Tuning & deploying new models based on GPT-4 model was not worth it in their use case. 7.    Collaboration with domain experts at every stage 8.    Use of proprietary data (legal case documents), likely using RAG architecture 9.    Importance of user-centric design and seamless integration 5.    Ethical AI practices & Fair use: Addressing copyrighted data in LLM training, and impact to content creation & content distribution 6.    Societal impact: Changes to legal profession, especially for junior roles and education. In the future, the “AI worker/agent” will do many of the tasks at “human level quality at superhuman speeds”, and the humans will hopefully have “more interesting/engaging” work. Additional considerations/challenges from my experience: 12. Data management: Collection, curation, vectorization, and storage 13. Data governance: Ensuring privacy, security, and compliance 14. Scalability and performance optimization: Design for increasing loads 15. Continuous learning: Regular updates to models, prompts, and evaluations 16. Explainability: Crucial for AI decisions in regulated industries 17. Cost management: Balancing model performance with operational costs 18. Cross-functional team building: Blending AI expertise with domain knowledge Building GenAI products is an exciting journey filled with challenges and opportunities. I'm curious to hear about your experiences. What challenges have you faced? Any success stories or lessons learned to share? Let's continue this valuable discussion and push the boundaries of what's possible with Data, AI & GenAI! #GenAI #AIProjects #TechTrends #ProductDevelopment Lukas Biewald Jake Heller #GradientDissent #cocounsel

Are you attending the Western State College of Law Review Annual Symposium this weekend? Register today, it is free and open to the public, lawyers, judges and interested citizens from throughout the state to come and engage and analyze the challenges and potential solutions related to the justice gap. This year’s topic pertains to the use of non-lawyers and AI/technology in the legal field. #AI #Legaltechnology #innovation

Really good write up from Richard Tromans on what Kerry Westland and the Addleshaw Goddard team are doing with #GenAI Key takeaways for me: 1) Leveraging AI takes a lot of effort 2) Chunking large docs down gives the best results 3) Just as some AI apps are better at certain tasks than others - some prompts work better in some applications than others "These are the worst LLMs we will ever see" certainly got me thinking! #bestyet_tocome #legaltechnology #legalinnovation #legaltech

Check out the latest #artificiallawyer article! Our very own Kerry Westland , Michael Kennedy and Elliot White take the time to summarise our genAI journey so far. Needless to say that we have learned a lot and it will only keep in getting more exciting! #genAI #legaltech #addleshawgoddard

Crowell & Moring’s Alma Asay comments on how law firms are handling generative AI policies. Read more in The American Lawyer:

Crowell & Moring’s Alma Asay comments on how law firms are handling generative AI policies. Read more in The American Lawyer:

Transforming Legal Work: Paxton AI's Generative Intelligence Paxton AI is a generative AI legal assistant that revolutionizes the way legal and compliance professionals work. It serves as an all-in-one platform for regulatory compliance, offering features tailored to simplify and enhance the work of Chief Compliance Officers and their teams. With the power of Generative AI, Paxton AI provides a comprehensive knowledge base, generates drafts, simplifies complex topics, and offers smart recommendations. This AI technology is a game-changer for legal professionals, showcasing the potential of AI in the legal field. Tanguy Chau #PaxtonAI #GenerativeIntelligence #LegalTech #Compliance #RegulatoryCompliance #ChiefComplianceOfficers #AIAssistance #LegalProfessionals #AIInnovation #GameChanger

Crowell & Moring’s Alma Asay comments on how law firms are handling generative AI policies. Read more in The American Lawyer:

Crowell & Moring’s Alma Asay comments on how law firms are handling generative AI policies. Read more in The American Lawyer:

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