85 Predictions for AI and the Law in 2026: Full Survey Questions and Results

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Why it matters

The core event is the release of a survey titled "85 Predictions for AI and the Law in 2026," compiling responses from 85 legal AI leaders on baseline trends and forward-looking predictions, published on January 5, 2026, by The National Law Review. Respondents overwhelmingly rejected AGI arrival in 2026 (77.4% no) and AI replacing entry-level lawyers within five years (58.3% no), while highlighting gaps in law school AI preparation (84%) and divided views on disbarment for fabricated AI citations[1][2]. Predictions emphasize a shift to AI operationalization, governance, auditable agentic systems, procurement as de facto regulation, and sector-specific guidance amid fragmented rules[1][2][4].

Key contributors include legal experts like Sonia Cissé (Linklaters Paris), Anni Datesh (Wilson Sonsini), and Daniel Lewis (LegalOn), alongside firms such as Litera, Jones Walker, and publications like Artificial Lawyer and Fisher Phillips. Agencies and legislation referenced encompass the EU AI Act (full high-risk enforcement August 2026, penalties up to €35M or 7% revenue), Colorado AI Act (effective June 2026, with possible delays), Illinois AI in Employment Law (January 2026), Virginia proposals, California's ADMT, and a Trump December 2025 executive order facing challenges; no major U.S. federal AI law expected[3][5][7]. Bodies like ABA (Formal Opinion 512), ACC/Everlaw, Gartner, and NIST frameworks also feature prominently[3].

This stems from rapid legal AI adoption (e.g., corporate use doubled to 52%, GenAI active use from 14% to 26%) post-2024-2025 advances, EU AI Act finalization, U.S. state patchwork, and ethical mandates like judicial AI disclosure orders, positioning 2026 as a governance turning point rather than breakthrough year. Timeline builds from 2024 ABA ethics, 2025 executive push, to 2026 state activations and 80% organizational AI policies per Gartner[3][4][8].

**Newsworthy now amid January 2026 regulatory ramps (e.g., Illinois law active, Colorado/ EU looming) and post-holiday synthesis of leader consensus, it signals maturity—widespread AI tools (90% lawyers by year-end), mandatory verification, and compliance over hype—guiding firms through risks like bias audits and client demands before mid-year deadlines hit[1][2][3][6].

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