A sequential optimization strategy based on statistical experimental designs was implemented in order to enhance laccase production by a local isolate Alcaligenes faecalis NYSO in a submerged culture. To screen the parameters significantly influencing the laccase productivity, a 2-level Plackett-Burman design was applied. Among the studied variables, the pH, yeast extract, (NH₄)₂SO₄, glucose, and CuSO₄.5H₂O were selected based on their high positive significant effect on laccase productivity. In order to find out the combination among the most significant variables that brings maximum yield, Response Surface Methodology was applied, where a 3-level Box-Behnken design was utilized to create a polynomial quadratic model correlating the relationship between the five variables and the laccase productivity. The optimal combination of the major medium constituents for laccase production was evaluated using the JMP program, was as follows: yeast extract, 0.896%; (NH₄)₂SO₄, 0.035%; CuSO₄.5H₂O, 0.0075%; FeSO₄.7H₂O, 0.000133%; glucose, 0.0943%, pH 10.6 and 30 ^oC for 24 hrs. The predicted optimum laccase activity was 791U ml^-1 min^-1, which was 700 times the activity with basal medium. In addition, the further optimization for both pH, CuSO₄.5H₂O concentration lead the yield to be 2435 U ml^-1min at pH 11.0, 200 mg CuSO₄.5H₂O which achieved after 18 hrs incubation time.