Now in its sixth year, Seyfarth’s Commercial Litigation Outlook provides a clear view into the forces reshaping business disputes in 2026. This year’s analysis highlights a risk landscape defined by accelerating technological change, an increasingly fragmented regulatory environment, and growing economic pressures across multiple industries.

According to the Outlook, artificial intelligence is creating new categories of legal risk, from the challenges of authenticating AI‑generated content to navigating the use of algorithmic tools while courts and regulators rapidly reset expectations around emerging technology. At the same time, state‑level regulation continues to expand, particularly around non‑competes, privacy, and biometrics, creating a compliance patchwork that requires businesses to adapt strategies by jurisdiction. Coupled with elevated interest rates, rising debt, and post‑pandemic strain, especially in real estate, health care, and franchise sectors, the commercial litigation environment remains fluid, fast‑moving, and resistant to neat predictions. Against this backdrop, eDiscovery, information governance, and cybersecurity response functions play increasingly central roles in managing litigation risk and staying ahead of shifting expectations.


Authored by Jay Carle, Matthew Christoff, and Danny Riley, this year’s eDiscovery & Innovation article spotlights one of the most significant and fast‑moving risks in the discovery landscape: the rise of AI‑enabled notetaking and meeting‑summarization tools. As generative AI capabilities become embedded directly into videoconferencing platforms, these tools now routinely record meetings, create transcripts with speaker attribution, and auto‑generate summaries—often by default. The result is a sudden proliferation of new, unvetted records that can capture sensitive, strategic, or privileged conversations. The article warns that these tools exponentially increase the risk of inadvertent disclosure, while also creating evidentiary challenges when transcripts or summaries are later used to establish what was said, by whom, and with what intent.

The article also highlights that litigation risk is expanding beyond the developers of these tools to the organizations deploying them. AI notetakers raise overlapping consent, privacy, wiretap, and biometric concerns, and courts will increasingly scrutinize whether companies can demonstrate how meeting data was captured, stored, and controlled. As with prior waves of privacy litigation, the differentiator will be operational discipline: organizations that implement clear governance around meeting recording, restrict distribution of AI‑generated outputs, and define authoritative versions of records will be far better positioned to defend against disclosure missteps, authenticity disputes, and statutory claims.

Click here to download the 2026 Commercial Litigation Outlook.

Continue Reading The Changing Discovery Landscape: Takeaways from Seyfarth’s 2026 Commercial Litigation Outlook

When Judge Jed Rakoff ruled in United States v. Heppner (S.D.N.Y. Feb. 17, 2026)  that documents a criminal defendant created through exchanges with Anthropic’s Claude platform weren’t protected by attorney-client privilege or the work product doctrine, the decision generated significant attention across the legal community. Many practitioners read that ruling as a sweeping statement: using

At Seyfarth, I’m not just an attorney—I’m also an ethical hacker and digital forensic expert, and I’m proud to be one of several “attorneys who code” at Seyfarth. Here, we’re passionate about technology, and we routinely seek creative ways to leverage innovations that enhance client services.

I’ve found that one area where emerging technology can make an enormous impact is in the data breach notification assessment space. Specifically, I’ve found that artificial intelligence can power the evaluation of implicated data for personal information like PII and PHI to determine notice requirements in the various implied jurisdictions. While there are many ways to accomplish that evaluation, I wanted to share my experience partnering with Text IQ, a company that builds AI for sensitive information, to power a data breach response in a blind study alongside the traditional document review and coding approach. The result was reduced risk, quicker turnaround time, and cost reduction for Seyfarth’s client.
Continue Reading Powering Data Breach Response with AI: A Case Study