The developments worth knowing before you practice.
CURATED BY THE
TECHNOLOGY LAW STUDENT ASSOCIATION
This week, legal AI became more connected to legal sources, deal documents, firm knowledge, and lawyer training. The useful question is what those connections let a lawyer inspect and verify. Being able to explain why a result is sound matters more than simply generating one.
LEGAL RESEARCH
Harvey says its new Graph approach maps relationships among authorities, citations, matter documents, parties, and versions so agents can retrieve and check connected sources.
Why it matters: Better legal AI depends on traceable context, not just persuasive prose. Lawyers still need to verify the authorities and reasoning.
Read Harvey's explanation ↗TAX RESEARCH
Eligible customers can query Blue J from Legora and receive answers with inline links to the underlying sources.
Why it matters: Specialized research tools are moving into broader legal-work platforms. Source-linked answers help, but tax advice still requires checking the authority itself.
Read the integration announcement ↗TRANSACTIONS
The beta integration lets permitted users bring data-room documents into Legora for diligence, drafting, and closing checklists, preserving existing access permissions and recording imports in the data room's audit trail.
Why it matters: In M&A, confidentiality and access control matter alongside analysis. Lawyers need to know what documents an AI tool is allowed to see.
Read the beta announcement ↗LEGAL EDUCATION
Faculty and students will receive platform access and training for research, document review, and drafting. NUS emphasizes foundational legal skills and critical evaluation before introducing the tool.
Why it matters: Legal fundamentals help students decide when an AI output deserves trust, revision, or rejection. Access alone is not preparation for practice.
Read the education partnership ↗FIRM ADOPTION
The firm plans to give lawyers across its global offices access over the coming months, help shape a future legal-research product, and develop a structured AI learning program.
Why it matters: Major firms are treating AI adoption as a training, governance, and client-service issue, not simply a software purchase.
Read the Jones Day announcement ↗Watch whether citation checking and audit trails become standard in AI-assisted work, how legal teams manage permissions across connected systems, and how law schools teach AI through supervised legal reasoning.