LJN Newsletters

Quantum computing has the potential to crack today’s encryption standards, which means that companies that rely on the encryption of stolen data cannot assume that the data will remain impervious to decryption.

Some AI features are exciting to build and easy to market, but the fact that a feature is technically possible does not mean it is currently safe to deploy at scale, particularly when client confidentiality and firm liability are on the line.

AI agents will not eliminate the need for court reporters, videographers, interpreters, production specialists or litigation support teams. They will, however, enhance how those professionals spend their time and how effectively information moves around them.

The cyber insurance industry has spent five years treating the ransom demand as the headline cost of a cyber claim. For a maturing book, the more corrosive cost is the one nobody underwrote: the variability of vendor spend.

How can legal teams move fast, reduce costs, and handle greater volumes of information? AI has rapidly become the de facto answer. But beneath the enthusiasm for AI, how are practitioners actually using AI-driven tools — and what are they learning as adoption shifts from experimentation to daily operations?

The strongest, longest-lasting partnerships were never built because one platform had more features than another. They were built because there was trust. And every relationship I’ve seen fall apart, even when the technology was solid, came down to that trust breaking somewhere along the way.

Notable recent court filings in entertainment law.

AI in patent prosecution is quickly becoming common across the industry. As AI capabilities will continue to evolve, new labels will almost certainly replace today’s “AI-enabled” and “AI-native” marketing language. Asking thoughtful questions about how AI is built into the entire process will provide far more insight.