The Problem: AI tools are great at analysing text, but they struggle with long documents. The more text they take in, the more memory they use, which slows them down. This is a big issue for lawyers dealing with contracts, case files, and legal research. Existing solutions don’t solve this problem well enough.

How LeMo Solves It: LeMo (LEss Token Involvement for MOre Context Fine-tuning) helps AI focus on the most important information, cutting out the excess while keeping accuracy. Here’s what it does:

• ✅ Removes Unnecessary Text: AI skips words that don’t add value, reducing memory use.

• ✅ Finds Key Sections: It identifies the most important parts of a document and prioritises them.

• ✅ Speeds Up Processing: Smarter organisation means AI works faster without losing accuracy.

Real-Life Example: A law firm using AI to review contracts noticed their system lagging with long agreements. After adopting LeMo, their AI processed documents twice as fast, helping lawyers spend less time on routine reviews and more on complex legal work.

Why It Matters:

• 🔹 LeMo cuts AI memory use by up to 1.93×, making it more efficient.

• 🔹 AI runs up to 1.36× faster, reducing delays in document processing.

The Future of Legal AI: With tools like LeMo, AI will become a more practical assistant for lawyers, handling long documents smoothly and freeing up time for more valuable tasks. Instead of getting stuck on lengthy texts, legal professionals can focus on strategy and client work.

References:

• Paper: https://www.arxiv.org/abs/2501.16352
• Paper Title: "Mixture of Experts (MoE): A Big Data Perspective"